Home
Blog
Data Integration Tools
Enterprise
Data-Analytics

Top 10 Data Integration Tools Available in the Market (Updated List 2023)

Get your data ready in minutes with data integration tools.

August 23, 2021
2 mins read

Choosing the right data integration tools is critical to the success of a data integration initiative. It seems like every day, we hear about a new data breach. Sometimes it feels like our personal information is out there for anyone to access, and that's because it is. In order to keep track of all of our information and make sure it stays safe, we need to use data integration tools. These tools allow us to collect all of our data in one place and keep it organized.

Not only does this help us keep everything secure, but it also makes it easier to find what we're looking for when we need it. So if you're looking for a way to protect your information, be sure to check out data integration tools! In this article, we will take a look at the different data integration tools available and help you choose the right one for your business first. Let's understand what factors make a data integration tool good.

What is Data Integration?

Data integration is the process of combining data from multiple sources into a single repository. This can be done manually through the use of scripts or software tools.  Data integration is necessary in order to have a complete view of your data, as well as to identify and correct any errors or inconsistencies. The process can be complex and time-consuming, but it is essential to make sure that your data is reliable and accurate. With the right data integration strategy in place, you can make better decisions, improve efficiency, and save time and money.

What are Data Integration Tools?

Data integration tools play an important role in business. Data integration tools are software that helps organizations to move data between different systems. This can include moving data from on-premise servers to the cloud or from one cloud-based system to another. Data integration tools can also help to synchronize data between different applications or to combine data from multiple sources into a single repository. In many cases, data integration tools will also provide capabilities for cleansing and transforming data in order to ensure that it is consistent and accurate.

Types of Data Integration Tools

There are many different types of data integration tools available on the market, each with its own unique set of features and capabilities. The type of data integration tool that is right for your organization will depend on your specific needs and requirements. 

Here are some of the most popular types of data integration tools:

1. Cloud-based Data Integration Tools:

Cloud-based data integration tools are designed to help organizations move data between different cloud-based applications and systems. These tools are often used to synchronize data between on-premises servers and cloud-based systems or to combine data from multiple cloud-based sources into a single repository.

2. On-Premise Data Integration Tools:

On-premise data integration tools are designed to help organizations move data between on-premise servers and other systems. These tools can be used to synchronize data between different applications or to combine data from multiple on-premise sources into a single repository. On-premise data integration tools typically offer a wide range of features, including data transformation, data cleansing, and real-time data synchronization.

3. ETL Tools:

ETL (extract, transform, load) tools are designed to help organizations move data between different systems. ETL tools can be used to extract data from source systems, transform the data into the desired format, and then load the data into the target system.

4. Open-source Data Integration Tools:

Open-source data integration tools are data integration tools that are available for free to anyone who wants to use them. These tools are often developed by community members and released under an open-source license, which allows anyone to freely use, modify, and distribute the software.

5. Proprietary Data Integration Tools:

Proprietary data integration tools are data integration tools that are developed and sold by commercial vendors. These tools are often closed-source, which means that they are not available for free and can only be used by organizations that have purchased a license from the vendor.

Factors to consider while selecting Data Integration tools

Several factors that you need to consider while selecting data integration tools for your organization. Some of the most important factors to consider include the following:

1. Scalability:

As businesses scale, the volume of data required for Data Integration systems generally increases. It is important to choose a Data Integration tool that can easily handle this increase in data, scaling up and down as needed. A tool that is unable to do this will likely cause problems as the business grows.

2. Data Sources Supported:

Make sure to check that the Data Integration tool you are considering can connect to all of the data sources you need it to. Most tools will support the most common data sources, but if you have any unusual or proprietary data sources, you will need to make sure that the tool can connect to them as well.

3. Security and Compliance:

When dealing with sensitive data, it is important to make sure that the Data Integration tool you are using is secure and compliant with all relevant regulations. Be sure to check that the tool supports the security standards you need, such as encryption, data masking, and user access control.

4. Data Transformations:

Data transformation is the process of converting data from one format to another. This is often done in order to make data compatible with different applications or systems or to make it easier to analyze and work with. Depending on the specific use case, different tools and methods may be used in order to achieve the desired results. However, in general, data transformation can be a very useful way to improve the usefulness and efficiency of data.

5. Cost:

The cost of a Data Integration tool can vary widely, from free and open-source tools to expensive enterprise solutions. Be sure to consider the total cost of ownership when selecting a tool, including the cost of licenses, support, training, and implementation.

6. Real-Time Data Availability:

Assuming your use case is to bring data to your destination for real-time analysis, it is important to select a Data Integration tool that supports this. Many tools only bring data to the destination in batches, which can create a lag of several hours or even days. This can be a major issue if you need up-to-the-minute data for your analysis. Therefore, it is crucial to select a tool that can provide real-time data availability.

7. Ease of Use:

Data Integration can be a complex process involving multiple steps and tools. Therefore, it is important to select a tool that is easy to use and configure. Otherwise, you may find yourself spending more time trying to get the tool to work than actually using it.

What are the benefits of using Data Integration Tools?

Some of the benefits of using data integration tools are:

  • They help businesses combine data from multiple sources into a single repository. This allows businesses to have a complete view of their data and make better decisions.
  • Data Integration Tools help businesses improve the quality of their data. By cleansing and standardising data, businesses can make sure that they are using accurate and up-to-date information.
  • A lot of data integration tools come with a wide range of features. This allows businesses to choose the right tool for their specific needs.
  • Data Integration Tools help businesses automate the process of extracting, transforming, and loading data. This saves a lot of time and effort that would otherwise be spent on manual data entry.
  • You can use data integration tools to monitor and analyze your data. This can help you identify trends and make better decisions.

What are the challenges of using Data Integration Tools?

Some of the challenges of using data integration tools are:

Data integration tools can be expensive.

You will need to put in a good amount of money and effort to set up and maintain data integration tools. This can be a challenge for most of the small and medium businesses that want to cut on costs. They usually have to compromise on features or go for open-source data integration tools that have a shorter learning curve.

Data integration tools can be complex.

Data integration tools can be complex and require skilled personnel to maintain them. This can be a challenge for small businesses that do not have the resources to support on-premises data integration tools. It can be difficult to find the right data integration tools. There are a lot of data integration tools in the market, and it can be difficult to find the right one for your specific needs. You will need to do your research and compare different data integration tools before you make a decision.

Best Data Integration Tools for 2023

1. Boltic

Boltic is the perfect no-code big data ops workspace for businesses of all sizes that need to connect multiple data sources and automate workflows. Our simple, user-friendly platform comes with a wide range of features, and with our freemium plan, you can get started with automation at no cost. You can build complex ELT pipelines without a single line of code and run them on our platform. With 100+ integration modules, Boltic is equipped to handle all your integration needs. Our platform also supports a wide range of data sources. You can connect to databases, cloud applications, on-premises apps, and more.

2. Talend

What could be more important to a business than data? Talend provides a platform that helps companies effectively manage, prepare, and integrate their data. In addition to data quality and application integration, Talend's features also include data management, Data Integration, and big data support. Because it is open source, Talend has built up a large community of users and developers who can help each other out. This makes it the perfect place to go if you have questions or need help with something.

3. MuleSoft

Think of MuleSoft as the glue that allows different applications and systems to talk to each other. The MuleSoft platform helps businesses connect data, applications, and devices across on-premises and cloud computing environments. And since 2018, after being acquired by Salesforce, it has been used by Salesforce as a part of Salesforce Integration Technology. They offer different solutions for different needs, including Anypoint Platform (their flagship product), CloudHub iPaaS, and Mule ESB. 

Their Anypoint platform is a complete solution that helps companies build application networks by connecting data, devices, and applications—on-premises or in the cloud. The CloudHub iPaaS is a cloud-based integration platform that enables you to deploy and run the application in the cloud via Runtime Manager. And finally, Mule ESB is an enterprise service bus that helps companies connect applications, databases, and devices, enabling you to exchange data.

4. Celigo

The integration flow you can design in Celigo is the most noticeable difference from other platforms on this list. It’s called an integration flow and it’s a visual representation of the various steps in your data integration process. Designed to connect applications and automate business processes quickly, Celigo's iPaaS is perfect for IT professionals and business users. With Celigo, you can easily integrate simple FTPs or complex orchestrations with data transformations. Plus, the platform offers a wide range of data-sharing options across platforms. And because it integrates with leading CRM and ERP tools, it's easy to get started with Celigo.

5. Informatica PowerCenter

Whether you want to connect to and fetch data from a variety of heterogeneous sources or perform data processing, Informatica is the software development company that can help you. With capabilities like ETL, data masking, data quality, and data virtualization, Informatica has the tools you need to succeed. Plus, the master data management services provide an additional layer of protection and quality control for your data.

6. Jitterbit

A cloud integration company, Jitterbit helps connect applications, data, and systems. It provides flexible and powerful data and application integration solutions that enable companies to innovate at the speed of business. With its API transformation capabilities, Jitterbit accelerates innovation by combining the power of APIs and integration. Jitterbit is a leading Salesforce Integration Tool that is in high demand among enterprises. A leading provider of Jitterbit integration services, STREAMS Solutions helps companies with Jitterbit consulting, implementation, and managed support services.

7. Pentaho

One of the main features of Pentaho is data warehousing, which helps to store and keep data organized in a business. Additionally, Pentaho's Data Integration component makes it easy to transfer and convert data from different sources into one format. This is extremely useful for cases like database replication or creating backups of databases as flat files. Another big selling point of Pentaho is that users can create ETL jobs without writing any code, making it very approachable for those new to the world of data. The graphical interface that Pentaho provides to its users is also relatively simple to use.

8. Zapier

Zapier is an integration platform that connects apps and automates workflows. It’s simple to use and doesn’t require any code. With Zapier, you can connect two or more apps to automate repetitive tasks without writing any code. For example, you could automatically add new leads from your CRM to a mailing list in Mailchimp. Zapier is a tool that helps busy people automate their workflows by connecting the apps and services they use. 

It comes equipped with several thousand app integrations right out of the box, making it easy to get started with automation. Zapier supports a wide range of popular apps and software, making it a versatile option for those looking to streamline their workflows. You can use Zapier to connect apps like Google Cloud, Salesforce, Facebook, Google Ads, Amazon Seller Central, Youtube,  etc.

9. SnapLogic

An integration platform that offers fast integration services to enterprises, SnapLogic comes with a simple, easy-to-use browser-based interface with 500+ pre-built connectors. With the help of SnapLogic's Artificial Intelligence-based assistant, anyone from any line of business can effortlessly integrate two platforms using the click-and-go feature. Reporting tools in SnapLogic allow users to view the ETL job progress with the help of graphs and charts.

The platform also provides the simplest user interface enabling self-service integration for everyone. With its intelligent system, SnapLogic detects any EDI error and instantly notifies and prepares a log report for the issue. SnapLogic is an easy-to-use Data Integration tool that is best suited for citizen integrators, who don't have technical knowledge.

10. Zigiwave

Zigiwave is a Data Integration Tool that can automate your workflow in a matter of a few clicks. It offers a No-code interface for easy integrations and deep integration features to map entities of any level. Zigiwave is secure, synchronizes data in real time, and is highly flexible and customizable to meet your specific needs. It is best suited for companies that want to automate their operations with a cost-effective solution. With features like these, Zigiwave is the perfect tool to help streamline your data integration process.

Conclusion

Data integration tools are very important in today's business world. They help to move and convert data from different sources into one format, which is extremely useful for things like database replication or creating backups of databases as flat files. Use Boltic for all your data integration needs. It's simple, efficient, and easy to use. With its No-code interface, you can easily connect two or more apps without any technical knowledge. 

Furthermore, Boltic is a free-to-use platform that allows you to perform all your data integrations without writing a single line of code. It does not matter whether you are a technical or non-technical user, our platform is designed for everyone. So, what are you waiting for? Sign up for a free account today and start automating your workflows! To learn more about our platform, please visit our website or contact us today.

Create the automation that
drives valuable insights

Organize your big data operations with a free forever plan

Schedule a demo
Schedule a demo
Thank you!
We have received your request and will get back to you soon. Meanwhile you can follow us on @bolticHQ for updates
Oops! Something went wrong while submitting the form.

Create the automation that drives valuable insights