21 Best Data Integration Tools for 2023

With the ever-increasing data volumes that companies are working with, the need for reliable data integration tools has never been higher. Fortunately, software providers have risen to the occasion and there are now a variety of different tools for effective data management. Businesses of all sizes can take advantage of the many features and benefits these tools offer, such as automated data migration, real-time monitoring, and analytics. With the right data integration tool, companies can easily transfer data, transform it and analyze in a secure and efficient manner.

What is Data Integration?

Data integration is the process of combining data from multiple sources into a unified view. It involves the secure, accurate, and timely capture, storage, and movement of data between multiple systems. This integration allows organizations to access and analyze data from a wide variety of sources, including internal systems, data lakes, external partners, and cloud platforms.

Why is Data Integration Important?

Data integration technology enables organizations to extract and transform data before loading it into a single repository for easy access. Integration helps to eliminate the need for manual data entry and helps to ensure that data remains consistent across systems. Without business data integration, enterprises are left with isolated systems and difficult-to-manage data sources, making it much harder to draw insights and make informed decisions. Data integration, therefore, helps businesses take advantage of real-time insights, accelerate decision-making, and improve operational efficiency.

What are Data Integration Tools?

Data integration tools refer to software designed to help organizations manage their data access and manipulation processes. These tools help facilitate the connection of various data sources, making it possible to collect, store, and analyze data from various sources. Data integration tools offer a range of advantages, such as reducing the complexity of integrating data and providing easy-to-use visualizations for data analysis. Additionally, these tools can help organizations comply with regulatory requirements since data integration processes are tracked and monitored by the tool.

Here are the 21 best Data Integration Tools

1. Talend

Talend is one of the top data integration tools currently in the market. It uses a unique, metadata-driven approach to delivering business data integration, data management functions, data quality, and enterprise application integration. Talend features an array of pre-built components and connectors enabling users to effectively build their own data pipelines and link multiple data warehouses.

2. Tray.io

Tray.io is a data integration tool that helps users connect, automate and manage processes within their systems. It provides a universal connector, allowing users to quickly and easily connect to different data sources without having to write custom code. Furthermore, Tray.io provides advanced data transformation and mapping capabilities, allowing users to easily convert data from one format to another.

3. Zapier

Zapier is a data integration tool that makes it easy to connect different web applications and automate workflows. It is a cloud-based software solution that enables business users to create automated workflows, known as Zaps, between business applications without writing any code. Zapier allows users to quickly and securely move data between web apps, such as Salesforce, Shopify, and Gmail. With Zapier, users can easily automate repetitive tasks, such as creating new leads in Salesforce from new contacts in Gmail, or syncing orders from Shopify with invoicing software like QuickBooks. Zapier integration platform also enables sql server integration services.

4. Celigo

Celigo is an IPaaS data integration tool that enables businesses to integrate customer and supplier data, providing a secure and automated flow of data between data warehouses or from application to application.

5. Jitterbit

Jitterbit is among comprehensive, cloud-based integration platforms offering powerful data transformations, extensive connectors for integration with third-party applications, and an intuitive transformation process. The platform integrates with applications such as Salesforce and Oracle, as well as several web services, giving users access to a wide range of data sources.

6. Zigiwave

Zigiwave is among the leading on-site and SaaS no-code data integration tools offering a wide range of features such as real-time synchronization, automated error handling, secure connections, and more. The service makes it possible to connect to 50+ cloud and on-premise apps.

7. Interbit

Interbit Data Integration Tool is a comprehensive healthcare data integration platform that helps to quickly and securely integrate data from multiple sources. It supports ETL (Extract, Transform and Load) activities, SQL server integration services and data validation.

8. SnapLogic

SnapLogic is among the best data integration tools that help businesses easily integrate enterprise, SaaS, and web data into a single, unified platform in an efficient manner. There is no need to write custom code because SnapLogic Designer is a browser-based visual setup tool that supports drag-and-drop capabilities for data integration.

9. Oracle Data Integrator 12c

Oracle Data Integrator 12c is an advanced data integration tool that provides extensive support for a wide range of databases, data warehouses, and applications. Oracle Data Integrator 12c is integrated with Oracle Autonomous Data Warehouse, Oracle Cloud, Oracle Autonomous Transaction Processing, Oracle Fusion Middleware, Oracle ERP Cloud, Oracle GoldenGate, Oracle Database, Oracle Enterprise Data Quality, Oracle Exadata and Big Data Appliance among other technologies.

10. SAP Data Service

SAP Data Services is among the leading on-premise proprietary data integration tools used to integrate, transform data, and enhance enterprise data management. It is an integral component of the SAP Business Suite, providing an enterprise-wide solution for managing, cleansing, and transforming data.

11. Informatica

Informatica is one of the best data integration tools available in the market offering both on-premise and cloud data integration. It provides a comprehensive suite of data integration software that helps organizations quickly create and maintain data pipelines.

12. Workato

Workato is a powerful data integration tool designed for businesses of all sizes. It features a drag-and-drop interface to set up integrations quickly and offers advanced options for more complex integrations. With Workato, users can set up complex data pipelines, automate data processes, and ensure efficient data management.

13. ArcESB

ArcESB is a middleware data integration tool that provides an end-to-end solution for managing the entire data integration process. From data extraction to cleansing and transformation, as well as delivery to the target system, ArcESB provides the necessary tools to ensure high data quality. ArcESB integration platform also enables sql server integration services.

14. Dextrus

Dextrus is a powerful, flexible, and easy-to-use data integration tool with ML modeling capability enabling users to quickly connect to data warehouses, configure data transformation logic, and deploy data integration jobs.

15. Rivery

Rivery is a powerful cloud-based big data management software that makes it easy to move, transform, and join data from multiple sources. It allows users to quickly connect and sync data from sources such as databases, data lakes, APIs, and cloud-based applications, as well as from on-premises systems.

16. Flow

Zoho Flow data integration tool is suited for easy consolidation of data from multiple systems such as CRM, ERP, marketing automation platforms and more. Deluge, Zoho's scripting language, enables users to add intricate decision trees to processes and restructure data so that it can move easily between apps, helping to resolve integration issues.

17. QlikView

QlikView is one of the best data integration tools available today. The tool then helps users to quickly identify data relationships, trends and anomalies. QlikView also supports predictive analytics, which helps users anticipate future trends and develop strategies to capitalize on them.

18. Adeptia

Adeptia is a leading data integration platform that aids businesses in accelerating client onboarding, boosting IT efficiency, revenue generation, and achieving digital transformation.

19. Information Builder

Information Builder is an advanced data integration software that bridges the gap between the data warehouse and operational systems. It enables users to quickly and accurately create data pipelines and integrate data from various sources, such as databases, flat files, spreadsheets, and web services.

20. Fivetran

Fivetran is a cloud-based solution that allows businesses to easily access their data from any source and have it ready for analysis in minutes. It works by creating a secure connection with the data source and then initiates data replication into the destination.

21. Boomi

Boomi is an iPaaS solution for creating on-premises, cloud-based, or hybrid software integrations. Boomi allows users to gain visibility into the entire data integration process, from the initial set-up to ongoing monitoring and maintenance.

Bonus

1. Xplenty

Xplenty is a cloud-based data integration platform that allows business users to easily create data pipelines and automated processes to handle data ingestion, transformation, and analysis through reverse ETL.

2. Integrately

Integrately is a one-click data integration tool that helps businesses automate their data integration process. The software offers real-time data synchronization, which ensures efficient data management. Integrately integration platform also enables sql server integration services.

Frequently Asked Questions & Answers

What is the difference between real-time and batched-based data processing?

Real-time data processing is a process that occurs in near real-time, while batched-based data processing requires the integration of multiple sources of data into one system. Real-time data processing is often used for mission-critical applications such as customer support or financial transactions, where speed and accuracy are paramount. Batch-based data processing, on the other hand, can be used for tasks such as analytics or processes that require large amounts of data to be processed in a specific order. Data integration tools help streamline both processes by connecting multiple sources and systems together so that they can all work together more efficiently.

Do data integration tools fix the data?

No, since data integration software are used to collect, integrate, and store data from multiple sources and they cannot clean or validate the data. Therefore, data integration tools can detect errors and alert users to potential issues, but they cannot fix them.

It’s prudent to note that data integration tools can also be used to create data mappings to ensure data accuracy and consistency, but they cannot guarantee that the data is 100% accurate. Ultimately, data integration software can be used to help reduce data errors and improve the accuracy of data, but they cannot completely fix all the data.

How do I choose the right data integration software?

When selecting data integration tool, consider the type of data you are integrating and how frequently it needs to be moved. You should also take into account the platforms and applications you are working with, budget, decide between cloud or on-premise data integration tools and study the features of the various data integration software solutions on the market. It’s also prudent to make sure the software is user-friendly and easy to use, and that it offers support and scalability. Additionally, confirm that the data integration software you select has the necessary security measures and complies with regulations. Finally, ensure that it integrates with your other existing software and systems. Taking all these factors into account will help you choose the right data integration software for your needs.

Final Thought

Working with data integration can be a tricky task, as there are various data integration tools, each with its own advantages and disadvantages. After careful consideration and research, it is clear that the best choice for a data integration tool is the one that best meets the needs of the project. It is important to consider the size, complexity, and security requirements of the project when selecting a data integration tool. After evaluating potential solutions, factors such as cost and scalability should be taken into account to ensure that the chosen tool can meet the demands of the project in the long term.