Compare the Top Data Integration Tools that integrate with SQL as of July 2025

This a list of Data Integration tools that integrate with SQL. Use the filters on the left to add additional filters for products that have integrations with SQL. View the products that work with SQL in the table below.

What are Data Integration Tools for SQL?

Data integration tools help organizations combine data from multiple sources into a unified, coherent system for analysis and decision-making. These tools streamline the process of gathering, transforming, and loading data (ETL) from various databases, applications, and cloud services, ensuring consistent data across platforms. They provide features like data cleansing, mapping, and real-time synchronization, ensuring data accuracy and reliability. With automated workflows and connectors, data integration tools reduce manual effort and eliminate data silos, improving operational efficiency. Ultimately, they enable businesses to make better, data-driven decisions by providing a comprehensive view of their information landscape. Compare and read user reviews of the best Data Integration tools for SQL currently available using the table below. This list is updated regularly.

  • 1
    AnalyticsCreator

    AnalyticsCreator

    AnalyticsCreator

    Simplify complex data integration tasks with AnalyticsCreator’s comprehensive tools. Automate pipeline design to transform and cleanse data, ensuring seamless integration across APIs, databases, and cloud platforms. This simplified integration improves collaboration and scalability for growing ecosystems. Enhance teamwork with version control and real-time insights into data flow and dependencies. Build scalable pipelines optimized for modern data ecosystems, delivering efficient and reliable integration.
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  • 2
    Peliqan

    Peliqan

    Peliqan

    Peliqan.io is an all-in-one data platform for business teams, startups, scale-ups and IT service companies - no data engineer needed. Easily connect to databases, data warehouses and SaaS business applications. Explore and combine data in a spreadsheet UI. Business users can combine data from multiple sources, clean the data, make edits in personal copies and apply transformations. Power users can use "SQL on anything" and developers can use low-code to build interactive data apps, implement writebacks and apply machine learning. Key Features: Wide range of connectors: Integrates with over 100+ data sources and applications. Spreadsheet UI and magical SQL: Explore data in a rich spreadsheet UI. Use Magical SQL to combine and transform data. Use your favorite BI tool such as Microsoft Power BI or Metabase. Data Activation: Create data apps in minutes. Implement data alerts, distribute custom reports by email (PDF, Excel) , implement Reverse ETL flows and much more.
    Starting Price: $199
  • 3
    Etlworks

    Etlworks

    Etlworks

    Etlworks is a modern, cloud-first, any-to-any data integration platform that scales with the business. It can connect to business applications, databases, and structured, semi-structured, and unstructured data of any type, shape, and size. You can create, test, and schedule very complex data integration and automation scenarios and data integration APIs in no time, right in the browser, using an intuitive drag-and-drop interface, scripting languages, and SQL. Etlworks supports real-time change data capture (CDC) from all major databases, EDI transformations, and many other fundamental data integration tasks. Most importantly, it really works as advertised.
    Starting Price: $300 per month
  • 4
    TROCCO

    TROCCO

    primeNumber Inc

    TROCCO is a fully managed modern data platform that enables users to integrate, transform, orchestrate, and manage their data from a single interface. It supports a wide range of connectors, including advertising platforms like Google Ads and Facebook Ads, cloud services such as AWS Cost Explorer and Google Analytics 4, various databases like MySQL and PostgreSQL, and data warehouses including Amazon Redshift and Google BigQuery. The platform offers features like Managed ETL, which allows for bulk importing of data sources and centralized ETL configuration management, eliminating the need to manually create ETL configurations individually. Additionally, TROCCO provides a data catalog that automatically retrieves metadata from data analysis infrastructure, generating a comprehensive catalog to promote data utilization. Users can also define workflows to create a series of tasks, setting the order and combination to streamline data processing.
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