Are you facing performance issues with your reports? (part1)

Reports are essential evidence for every organization as they allow you to evaluate success and failure. We hope our article today can help you if you have any problems reporting performance. This article will be beneficial to you as it will explain the cause of the performance problems you are facing and the best method to implement to resolve them so that you can base your business decisions on the findings of the report.

Your manager must receive reports to assess success and failure, and the HR team sometimes needs to check the reports daily, weekly or monthly. But sometimes those reports deal with performance issues, making results-driven decisions difficult and time-consuming. 

Learn how to handle performance issues when creating reports and create accurate, timely, insightful reports that engage stakeholders 

What we are doing wrong:  
We are building our reports on the transactional database (DB). So, the transactional database is normalized and is optimized only for storing transactions. However, we should use the data warehouse if you want to do the reporting.  

How to manage the performance issues:



So, the data warehouse is denormalized, and you can divide your tables into facts and dimensions in the star schema, which will help you improve your performance for your reports.  

Additional issues  
Business-wide reporting often suffers from poor data quality. Still, there are additional issues that can impact your company, such as over-reliance on manual processes, performance issues that are inconsistent, prone to error, and performance in a are unable to a timely manner. These arguments are usually disregarded. The challenge is made more difficult for business users by performance issues, managing information flow, and maintaining information security regulations. 

Furthermore, in today’s corporate environment, having a technology that resolves these reporting difficulties and offers an integrated business planning capability has to be a must rather than an extra. 

Another crucial component of systematizing these procedures is releasing the finance team and line of business workers from data consolidation, cleaning, and transposition to concentrate on more value-adding tasks. 

For integrated reporting and planning, Complere utilizes a variety of technologies, some of which are listed below for your consideration: 

  • The cloud platform Adaptive Insights: It is renowned for its robust planning and office of financial reporting capabilities. It gives a quick and effective tool to manage reporting and planning that is simple to use and quick to implement. 
  • Analytics and data integration: They are highly customizable reporting, planning, and forecasting programs that can deploy in the cloud or on-premise. They are complete collaboration solutions that include thorough analytics, reporting, and a robust planning capability. 

Contact us if you’re interested in learning more about some solutions that can help you with your reporting (and planning) problems. 

Do you want to learn more about handling and addressing performance issues in reporting, improving your company’s operations, and giving more people access to the information? Here is the link to the video: 

There are further factors as well, which we will discuss in the following article. Comment with us about what you think about it. 

4 ways to improve the
performance of DB Reports

My team is more committed to performing its responsibilities. I am happy and feel more proud because I have an excellent team. I asked my manager to review a report on business performance. I observed that poorly arranged the report, and the data did not demonstrate any decision-making process. At that time, I was very disappointed. Then, my technical team advised me to use these 4 techniques to increase the performance of the DB report. Therefore, before studying these four methods, it is crucial to understand what database reports are and why they are essential to increase their efficiency.

What is a DB report?  


DB reports are created from valuable and visualization data, such as storing the snapshot of the data and demonstrating or distributing the data summary for decision-making, analysis, and data search. DB reports help to provide details about personal records.  

Why do we need to improve the performance of DB Reports?


Each business tries to develop a highly effective database as they significantly impact business success. An outfit-wide bottleneck that reduces performance and reduces productivity may develop as a result of anything from a poorly designed query to a sequencing problem. However, after knowing that you are aware of 4 ways to improve the performance of DB Reports, you will be better at preventing unnecessary financial loss brought by server inefficiencies. 

4 ways to improve the performance of DB Reports


  1. Limit the rows and the columns which you need in your data model  
  2. Limit the number of visualizations in a report. If you have more visualization, it will be going to take more time to visualize  
  3. It would be best if you did all the data manipulation at the SQL level. If you do all the manipulations at the reporting level, it will be going to take more time for the loading, which will decrease the performance   
  4. Your start schema for your reporting purpose. The importance of data warehousing in a star schema is that it will divide your data model into the facts and dimensions that are optimized for your reporting needs. 

Benefits of improvement in the performance of DB report


You may quickly and efficiently generate reports and dashboards to track your business’s key performance indicators, analyze the data, and derive business-related insights. To delve deeper and comprehend business performance, you must filter, sort, search, and drill down into reports. Below is a look at a few of the advantages: 

  • You can create reports, bubble charts, and bullet graphs from databases. 
  • Create Insightful Reports & Dashboards. 
  • Managers and executives may swiftly derive insights from the target user and, as a result, make better decisions. 
  • Save Time and Resources 
  • Create Advanced Data Visualizations. 
  • With DB Reports, you can create any report using a simple drag-and-drop interface. 
  • Can generate these web-based reports in detail to showcase additional information or update in real-time to reflect the most recent data. 
  • Keep your sensitive data secure. 
  • Better DB Reports performance keeps you from inputting numeric values incorrectly, which could wreck your business. 
  • Examine a Variety of Options 
  • With additional tooltips, your reports will be more accurate and productive. 

Final words


At Complere, we implemented these 4 methods to enhance the functionality of DB reports and, as a result, increased productivity and better decision-making. These methods also improved data sharing, security, effective data integration, consistent, reliable data, and data that comply with privacy regulations

Why are alerts important?

Alert is the most crucial information source for cyber security because alerts inform your IT staff about ongoing cyber threats, security events, and any other possible incidents for your company. 

Alerts mean a notification that informs you of serious security incidents or threats pertaining to your system and network. These alert notifications are essential for your security personnel to interact with security occurrences immediately and contain any threats before they cause any significant issues.  


There may come a time when we will have to deal with hundreds of alerts that demand more of your security personnel; thus, it is essential to be more attentive to more severe or threatening alerts. This article will explore the significance of alerts and the advantages of automated alerts for your organization. 

What is an alert? 


Your cyber security team dealt with numerous alerts each day. The technical team’s goal is to combine similar alerts or call for similar actions to overcome this problem. This criterion might be based on the situation, the severity, the impact on assets, and other factors. Only one alert group can contain an alert. If you think you can include an alert in more than one category, you should either change the criteria you use to group alerts or the elements of the alert being discussed. 

What are the benefits of automated alerts?  


Automating alerts is a straightforward technique that can incorporate into any business system. It can significantly improve company efficiency, guarantee complete visibility of crucial information, enhance customer service, and lower financial risk exposure. 

  1. Timeliness: It highlights the issue at the right time. With this help, we can take the necessary action at the right time, which in return helps us save the resources and the efforts. Timeliness is more important to enhance the alert on time; it will help to take action on time. Automating them will inevitably save you and your business time and effort. It is especially crucial in emergencies where speed is of the essence 
  2. Communication: Think with the team is very important; hence if we will get the notification, it will inform all the team members, and the account person can fix the issue on time   
  3. Enhanced organizational visibility: Managers and staff members quickly access vital company information through instant alerts 
  4. Boost incident management effectiveness: Businesses can also use alerts to expedite incident management. You must ensure that the right people have signed up for the alerts to prompt timely action. The time it takes to respond to emergencies is sped up by providing the appropriate information to the right team members. 

By constantly monitoring important alerts and warnings, you may increase your company’s productivity. Whether it’s an alert about low inventory or a piece of equipment that needs routine maintenance, must inform the appropriate individuals within the organization promptly. In addition, businesses should automate alerts and notifications to keep teams informed at all times. 

Two data automation test

For business sustainability, a data automation test is crucial for your data projects. Your organization will benefit greatly from data automation testing. Any firm can benefit from this practical and affordable solution. Your company can cut costs significantly while increasing work efficiency. A data automation test is also advantageous for your employees, who may concentrate on difficult and extremely interesting activities rather than monotonous jobs. 

Data automation is the process of using automated tools to upload and manage data instead of doing everything manually. And data automation tests ensure consistency, maintaining work quality that manual processes can compromise. Data automation testing helps in data projects; it improves data quality because data integration from multiple data sources into a single one. 


There is the possibility of bugs and mismatched data. The best method for detecting bugs and other technical problems and improving the quality of the software is data automation testing. In simple words, it can be described as a quality control measure that achieves just one objective. The data automation test will reduce your costs, time commitment, and effort if you want your app to be ready for deployment.  

Two data automation tests


Today we will tell you about two data automation tests that we can perform in the data projects that are given below: 
If you are working on a data project, then you must do these two data automation tests:

1. Metadata validation: The dataset’s format and location on the disc are described in the metadata. You can validate the data if it’s in the form of CSV files and you are getting the data, or you can validate the metadata of the file before running the integration. It can help you avoid errors. Data integrity verification is configured in the system so that we can ensure that the calculation is valid. 

2. Pre-run test case: Data count validation if the file you have received is less than the threshold value. What is the threshold value? Normally, you expect the number of records in the file. If it is less than that value, in that scenario it should error out. The integration should not be run. 

Why is data automation testing important for your business?


You may handle jobs that are a component of the data pipeline much more quickly by using data automation tests. The least amount of manual involvement, reduced resource usage, time savings, and improved data reliability are its finest qualities. 
For improved performance and scalability of your data environment, data automation testing follows. 

  • It will take a lot of time to gather input on new features. However, data automation testing speeds up the feedback cycle and enables programmers to find bugs at the early stages of development. 
  • Improved test coverage for your applications. Manual testing takes a lot of time and has restrictions. Only a select few of your tests can be verified by your testers. Data automation testing enables QA professionals to cut down on time and increase test coverage. 
  • Data automation testing offers the best work possible. Work will be considerably better as a result, and expenses for the company will go down. 
  • Although data automation testing is time- and money-consuming, it lowers corporate costs. A client will lose customers and money if software bugs are not found in time and allowed to escape into production. Data automation tests let you uncover flaws early on and prevent this kind of financial damage. 

Final word


A great way to help business owners save time, money, and effort is to use data automation testing. QA specialists evaluate the system from top to bottom using data automation testing. If you require prompt and competent support, don’t be afraid to get in touch with Complere Infosystem professionals.  

Your ideas can come to life with the assistance of our team of web developers, designers, and QA specialists. To give our clients top-notch solutions and outcomes, we mix manual and automated testing in all of our projects. Please contact us if you need any clarification on any issues you may have! 

If you have any other ideas or have implemented any other test cases, please write in the below comments section. 

How to measure Development Productivity

It is feasible to quantify anything in today's technologically advanced world, including an employee's, teams, and developer's productivity. We frequently discuss how to measure employee and team member productivity, but we rarely discuss how to measure developer productivity. Yet, development is a crucial step in the project delivery, determining a company's success. 

A developer's productivity can be evaluated using various productivity measures, including the number of commits, lines of code, pull requests, and code reviews. 

If Continuous Integration is used, we can use the number of builds and tests to gauge a developer’s productivity. In addition, you can count the number of deployments or releases to determine the continuous deployment. In other words, it is simple to measure developer productivity. 
Even after closely monitoring the productivity measures, you might still be having trouble measuring your development productivity. This blog post will discuss three concrete facts that can help you do just that. 

What Is Developer Productivity? 


We try to understand developer productivity in simple language. To get an idea of how the developer is productive in a given timeframe/metric, for measuring the Developer Productivity Company creates the objectives/metrics are to know the track, how many bugs can be fixed, and code review done. Then, the productivity of the developer is measured based on the results.

You can measure development productivity in these three factors:


Today we will discuss those three crucial factors, as a result of which you can easily measure development productivity. 

Are the projects delivered on time?


To measure development productivity, you must know if the project is delivering on time or not? It is significant for you to manage the project plan effectively; as a result, it can ensure that the project delivery will be successful. There are some essential tips for successful project delivery. With these tips, you can know that project delivers on time. 

Know your project goal: This is not as simple as it sounds; the most crucial step in the production stage is that you know the intent of the project. At the beginning of the project, if any confusion remains, it will result in an unsuccessful delivery. Therefore there must be clarity of the project’s goal; with this, it is possible to ensure the right outcome only through clear goals. 

Clear communication: For the project’s successful outcome, it becomes imperative to have open and continuous communication with all the stakeholders related to the project. 

The right resources for the project: Make sure that all the resources being used in the project are self-motivated and working on the same outcome, there should be no differences between the teams, and all the team members should have the same result. 

Organize the larger project into smaller parts: If you’re working on a broader project, break it down into measurable components that make the task seem less daunting. It also provides an effective way to track the project much more quickly as it continues through its lifecycle. 

Expect the unexpected: the team must expect the unexpected because it is not necessary to receive precisely what we have planned because, in the development process, there are many risk factors that we face during the development stage.

Are the projects meeting the SLA?


SLA is a service-level agreement between you and a client that specifies the service to be provided, establishes the client’s expectations, and sets cost parameters. What do you think is simple, right? But SLAs are more than it. SLA is a contract document that keeps you away from lots of confusion and dissatisfaction during working on the project. The essential points include in SLA: 

No space for confusion: SLA is a legal document where both parties, you and your client, agree on exact expectations. 

Acceptable quality: SLAs are the key to project management delivery services that include specific measurements of technical quality and overall productivity. It makes project management and natural justice possible. 

Pre-negotiate penalties: If out-of-scope downtime occurs, the penalty is pre-defined, so there is no strain on the client relationship, and it saves time.  

With a set of boundaries: In SLA, expectations, and deliverables define clearly. With SLA scope of creep can be ignored and easily fixed. 

If the development team works per the SLA, then it is simple for you to measure developer productivity. 

Is the team collaborating?


The team’s collaboration is essential for the project to be completed successfully. When starting a project, a team can produce better results than a single person. Brainstorming, thinking, creativity, and individual talents with many valuable attributes are all part of team collaboration and collective effort for improved results. Team members divide the task and talk about fresh ideas and methods, explaining and offering better solutions by paying attention to a different viewpoint. 

Team collaborations are not something that should be set up immediately and implemented instantly. Instead, team collaborations require some basic principles to be adopted, and starting from these basic principles, a conducive environment for collaboration should be created in the company, such as:  

Accept new suggestions and ideas: A team can consist of many people. All of the individuals’ perspectives do not always align. Because each person has a unique perspective, it is vital to consider all points of view when making proposals. There should be a culture in the workplace where people feel free to express their ideas and suggestions while also listening to others. 

Clear protocols: Using too many communication channels, such as email, messenger, document management systems, etc., might confuse the team. Team members could become perplexed about which strategy to employ, given the abundance of communication tools. Group members can concentrate better on their job if a clear protocol is followed. 

Strong accountability: Strong accountability is necessary for team collaboration. The foundation of team collaboration will be damaged if there is not strong accountability inside the group. Bugs and misunderstandings are inevitable when working as a team, but accountability is valued. Can quickly fix Bugs made by the team if it is consistently practiced. 

Workplace to be centralized: For team collaboration, it is necessary for the workplace to be centralized, although collaboration software is available in the market to do practically anything together. But all the data, work, and meaningful conversations happen in a centralized workplace which makes a protocol extremely simple. 

Final word


To measure development productivity, one must take care of very these three main things closely. Complere Infosystem follows these three crucial points to measure developer productivity and boost its team’s productivity. To increase productivity, the team needs a place where they can automate the repetitive process and plan the project. 

Every detail of the business
process you need to know

In order to effectively manage processes, an organization must connect its processes with its goals, develop and implement associated structures, and establish measurement methods that are aligned with those goals. Managers must also be trained and organized so that they can do so.

In addition to workflow automation solutions, XML languages for business procedures and ready-made ERP systems are all examples of BPM (Business Intelligence and Process Management). As a result of this, BPM stresses the software application’s ability to govern the flow of processes, measure them automatically, and allow you to educate and organize managers in such a way that they can manage processes more efficiently.


Business intelligence and Process Management in order to keep them in line with its evolving goals is known as business process management (BPM). To manage a business, BPM software helps firms define the steps required, map definitions to current processes, and then simplify or optimize processes to make them more efficient. If you’re familiar with the term BPM, you’ll recognize it as “Business Process Improvement” (BPI).

What does it mean to say that a company has a process?


There are several ways in which companies turn information or materials into something useful in order to fulfill a promise and produce an outcome.  customers, big value chains and business processes have a significant impact.


Almost every business relies on some kind of business procedure. They serve as models for a wide range of business activities, allowing various departments to collaborate with one another and with outside parties such as vendors and consumers.


Only if the business procedures of a company enable it can a corporation be flexible, efficient, and nimble. The issue is this: A lot of firms establish business processes in isolation from the other processes they interact with or don’t develop business processes at all. Processes might be the result of a system’s design or of the way things have always been done. Since many businesses are inhibited by their procedures, they will continue to be hindered until those processes are optimized.

Who is responsible for ensuring that the company’s procedures are followed?


Figures who will play an active part in each phase of the business process are identified :-


  • He is responsible for the process: he is the one who plans, supervises, and oversees all of the topics involved in the activity, as well as the stages necessary to achieve the goal.
  • In the event of a snag in the business process, the operational manager, also known as a process manager, steps in to help smooth things over and keep things moving.
  • Process workers are the people who are directly involved in the process and are responsible for carrying out the various stages.

Coordinating the many activities


Various departments will be involved in the process implementation, and they must work together or independently to meet deadlines while keeping an eye on the final goal. This will necessitate a constant flow of information between the departments.


By using a number of measures, this activity can be coordinated. A good place to start is by identifying who is responsible for what in each department participating in the business process, as this will help keep things simple for everyone involved.


In addition to this, a process manager is needed to oversee the individual procedures and finish all steps of the process in Top ETL Companies in India.



Finally, it will be feasible to define a certain organizational unit in scenarios requiring synergy between a vast number of subjects or divisions.

Data Management and App
Development company in India

What is Data Management?

Data management and analytics companies are the biggest platforms for the development of architectures, practices, procedures, and policies to maintain the data lifecycle. To exemplify, everyday terms, data management is the process of collecting, keeping, and using data in a cost-effective, secure, and efficient manner. 

Data management helps people, companies, and connected things raise data usage to make great-informed decisions that give maximum benefits.

Data Management Platforms and Programs


There are numerous amounts of data management systems available :-


  • ER model databases
  • Graph databases
  • Hierarchical databases
  • Network databases
  • NoSQL databases
  • Object-oriented databases
  • Relational database


Data management platforms or data management programs are two essential management tools. Data management platforms, also called DMP, are platforms that important store data like consumer data, for example, mobile identifiers, cookie IDs, and campaign data. DMPs help advertisers and marketing professionals build customer slabs. The slabs grow based on demographics, browsing history, geographical location, device type used, and other factors.

Most popular data management company in India


ComplereInfosystem is the most popular data management and App Development Company in India. Our happy clients and their satisfaction with our work encourage us to offer outstanding services to our customers in data management and App development. Because we have an intelligent expert team who deals with customers’ needs and helps them in their businesses.

Why choose us ?


We are the ranking data management company where you will experience complete work with well-customized operations, improved productivity, and scalability. Complere Infosystem try best to provide good service to clients with :-


  • Reasonable Operations Cost
  • Easy Access to get data from customers
  • Increase development with streamlined processes
  • Requirement customization to achieve better engagement
  • Provide proprietary platforms, and tools along with thorough process transparency, and more
  • First-class global information security policy including 24*7 security, classic infrastructure, etc.


Our main aim has always been on offering major data entry services. We use the ever-evolving technologies to build a strong business deal along with instilling new upgrade methods to manage data. Our primary aim is to help businesses to transfigure their complete data in order to get amazing results in their business.

How does a Data Management system work as an organization?


Data management is the process of planning, controlling, and providing data effectively in an organization. Data management contains the following functions that maintain the disciplines in the development, execution, and overview of plans, programs, policies, and practices that protect, control, deliver and raise the quality and value of data and information in the company.

Benefits of having Complere Infosystem by your side


Minimized Error


Complere Infosystem team helps in reducing potential errors and minimizes the damages caused by bad data. The good occurrence of processes like copy-paste, drag, and drop, and linking of documents, the greater the likelihood of data errors. Therefore, Complere Infosystem data management strategy and data quality initiative must provide better control of the health of a business’s most valuable asset.


Efficiency  Improvements


If your data is accurately managed, upgraded, and increase, its availability and your organizational efficiency will increase exponentially. However, if the data is inaccurate, mismanaged, or error-prone, it can waste plenty of time and resources.


Data Quality Improvement


Complere Infosystem provides better data management which helps in enhancing data quality and access. As a result, better search results are acquired in a company with better and faster access to the organization’s data, which can aid in decision making.





Textellent offers a better way to engage and keep customers through text message marketing. To enable the Tax preparation services Textellent has to build the integration with different software such as Drake, Intuit ProSeries, Taxwise Desktop & Online, CrossLink Professional Tax Software, TaxWare, Tax Slayayer Pro, Lacerte Tax, Rig Tax and others.

Textellent has to build at speed and scale to handle clients’ info uploads of Textellent customers from various Tax software, before the import files required to be validated and then processed.

What Complere did?


Textellent, a leader in Business Texting Solutions and named to one of the top spots by Software Advice (a Gartner company) in the 2020 year-end FrontRunners Report for SMS Marketing Software. Textellent provides a robust, flexible platform with rich out-of-the-box functionality and strong integration capabilities with Tax Softwares.

Complere approach to building real-time Integrations as microservices using Talend ESB for each Tax Softwares, where we have split the problem into master, branches and slave concept. Masters service is responsible to route the validation or process request of the requested software branch, Branches are where validation or processing is done of the client info and the slave job is common for all the branches which are responsible to load the transformed data into the database.

The scope of the engagement included the following initiatives :-


Search and Build

Build the transformations from scratch specific to each Tax software.

Group 8


Build the REST validation framework which should validate the client info uploads from Textellent customers, response error and its description in a realtime.

Group 10

Fix Error

Build the error logging and rejects logging mechanism to identify and troubleshoot failures.

Group 4


Build a robust REST framework to take the request from the Textellent portal and send the same for validation and processing.

Group 7

Build Process

Build the standard slave process to consume processed files produces by the branches.

Group 19


Build a process to support both real-time client info validation and scheduled based client info processing

Complere solution benefited the Textellent in the following ways:

Group 14


The generic framework in the system requires minimal customization, which ultimately saves development efforts and significantly reduces the cost of future implementation.

Group 16


The Talend ESB tool based microservices reduced 70% efforts on the development side.

Group 15


The Talend ESB tool based microservices reduced 70% efforts on the development side.

Group 18


Real-time data validation solution increased the customer satisfaction score by identifying the mistakes in the client info uploads.




Complere provided Textellent with a simple, easy to handle and high-performance data transformation solution. With the new solution, Textellent can enable its customers to uploads their client info and manage the transformed data in a centralized location. Improved rate and quality of transformations would not only help them quickly realize high ROI on their investment but also enable them to acquire major customers with a large business base in the long run.  

How to reduce the error rates in the reporting




You have a report that refreshes the data regularly. On the backend, you have the integration that you have run at a specific time and loads the data into the warehouse. Still, the data not be loaded because of which the BI not refreshing, and there are errors in the BI reports that have reported by the support team. How will you reduce these error rates with the help of automated testing?  



We have some test cases when the file is being loaded into the system, and the test automatically will give you the count records that have been loaded so you can have a test that if the count is less than the threshold, then it should raise a flag and alert and should notify here


And with the help of similar cases, you can create, and you can, in return, reduce the error of the integration, which will reflect the correct data in the reporting. So if the underline data is correct, the report will show the correct data and enhance the report data significantly less. 

What is Automation testing ?


It is a piece of software that allows you to specify testing tasks and then has it carry them out automatically. The most excellent part is that it ideally occurs with little human intervention. 


There are many automation testing tools on the market that you can use to test on many platforms, including desktop PCs, mobile devices, and smartphones. You may test reports and code 24 hours a day with testing automation, allowing performance testing to run without human interaction. In addition, you can speed up the test execution procedure if necessary. 

Various types of Automation Testing


  • API Testing 
  • Smoke Tests
  • Regression Tests 
  • Functional Testing 
  • Non-functional Testing 
  • Keyword-driven Testing 
  • Acceptance Tests 
  • UI Tests 
  • Security Tests 
  • Integration Tests 
  • Performance Tests 
  • Unit Testing 


Wait, don’t leave; the remaining things need your attention. There are many other advantages to this tool, so you should need to study it more closely. It is not just automation testing tools to test across many platforms. It benefits your company in many ways; let us discuss it below. 

How automation tools benefit your business



When you have multilingual websites, repetitive, tiresome, broad, and expansive test cases, and you want to have these tests performed by a human, things get rather complex for you and consequently prone to errors. Here, an illustration will help us comprehend: 

Easy to use for billion tons of data:

Creating reports is prone to error, especially when there is a billion tons of data. Therefore, in this situation, selecting an automation testing tool for your testing report would be preferable since it would produce better and faster results with noticeably less work and time.  

Produce a Quicker Result:

This makes it somewhat more uncomplicated for the development and support teams to consider the flaws and produce a faster result. While assuring proper functionality in all pertinent areas, the project’s total development speed is accelerated. Any fault may be fixed and deployed more effectively and economically the earlier it is discovered.

Change in performance::

Several performance changes will occur due to using automation testing in reporting, including increased reporting speed, more excellent test coverage, improved consistency, cost savings, frequent and thorough testing, and a shorter time to market.    

Use your data frequently:

You can repeatedly utilize your data from the perspective of project handling and maintenance, reducing expenses significantly. 



The facts mentioned above make it abundantly evident that automated testing significantly reduces the error rates in the reporting, cost, and time while also making the best use of manual efforts. Moreover, it opens the door for prompt feedback, which helps increase profitability. Therefore, automation testing might be a game-changer for small and medium-sized businesses constantly fighting to obtain a sustainable competitive edge and advantage. Viewing automation testing as a functional paradigm shift in the IT industry is possible. 

Want to speak with the test automation specialists at Complere Infosystem directly about your automation

When to use the NoSQL Database vs. SQL Database 

In this article, we will discuss when to use the No SQL database and what are the used cases for the same. SQL isn't the quickest or most elegant way to communicate with databases, but it's our best. Why is that? 

Structured Query Language is now the industry standard for altering and querying data in relational databases, but some solutions have proprietary extensions. Because of SQL's simplicity and ubiquity, numerous "NoSQL" or non-relational data stores, such as Hadoop, have adopted parts of SQL or created their SQL-like query languages. 


However, SQL was not always the “universal” database language. SQL had several disadvantages from the start (around 1980). Many researchers and developers at the time believed that SQL’s overhead would prevent it from becoming useful. Many academics and developers, including myself, at the time, thought that SQL’s overhead would prevent it from ever being used in a production database.

What are the used cases of the NoSQL database ? 


Choosing between a SQL and a NoSQL database is not always easy. Each has its advantages and disadvantages to deal with. Making the best decision is dependent on your organization’s unique data environment, as well as your present demands and long-term objectives. Many development teams employ both in their cloud data architecture and, in some cases, within the same application, deploying each to cover the areas they excel at. 


What are some examples of non-relational use cases? Here are a few examples of where NoSQL is useful :-


  • Identity verification and fraud detection 
  • Management of inventory and catalogs 
  • Customer experience, personalization, and recommendations 
  • Sensor data and the Internet of Things 
  • Payments and financial services 
  • Asset management and messaging logistics 
  • Systems for managing content 
  • Media and digital management

When to use the NoSQL database?


Please take a look at the common reasons why it is adapted.  


  • With NoSQL databases, development can be significantly faster than with SQL databases. 
  • A NoSQL database can more readily handle and evolve the structure of many different types of data. 
  • A SQL database cannot handle the amount of data in many applications. 
  • SQL cannot handle the volume of traffic and the requirement for zero downtime. 
  • Can be supported by new application paradigms more simply.

NoSQL database vs. SQL database


The following are the five critical distinctions between SQL and NoSQL :-


  • Relational databases are SQL, while non-relational databases are NoSQL. 
  • SQL databases have a specified schema and use structured query language.  
  • SQL databases scale vertically, but NoSQL databases scale horizontally. 
  • NoSQL databases are document, key-value, graph, or wide-column stores, whereas SQL databases are table-based. 
  • Finally, SQL databases excel in multi-row transactions, while NoSQL excels at unstructured data like documents and JSON.

Advantages of NoSQL database  


The following are some of the most significant benefits of NoSQL databases: 


1. Data Model

can only store structured data, NoSQL databases are incredibly flexible since they can store and mix any data, both structured and unstructured.


2. Data Model Changes 

can only store structured data, NoSQL databases are incredibly flexible since they can store and mix any data, both structured and unstructured.


3. Elastic Scalability

NoSQL databases can scale to support data growth while being cost-effective. 


4. Maximum Efficiency 

NoSQL databases are designed for high throughput and latency (it is the delay between request and actual response). 


5. Open-source software

NoSQL databases are cost-effective to implement because they don’t require hefty license costs and may run on low-cost hardware. 



Most NoSQL databases feature scale-out architecture, giving a straightforward method to scale to support large data sets and high traffic volumes. A database delivered via a cluster of computers can also automatically expand and reduce its capacity. 


Furthermore, many NoSQL databases may be upgraded, allowing the database schema to be changed.

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