Best Data Integration Tools for Elastic Cloud

Compare the Top Data Integration Tools that integrate with Elastic Cloud as of September 2025

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

What are Data Integration Tools for Elastic Cloud?

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 Elastic Cloud currently available using the table below. This list is updated regularly.

  • 1
    Peaka

    Peaka

    Peaka

    Integrate all your data sources, relational and NoSQL databases, SaaS tools, and APIs. Query them as a single data source immediately. Process data wherever it is. Query, cache, and blend data from different sources. Use webhooks to ingest streaming data from Kafka, Segment, etc., into the Peaka BI Table. Replace nightly one-time batch ingestion with real-time data access. Treat every data source like a relational database. Convert any API to a table, and blend and join it with your other data sources. Use the familiar SQL to run queries in NoSQL databases. Retrieve data from both SQL and NoSQL databases utilizing the same skill set. Query and filter your consolidated data to form new data sets. Expose them with APIs to serve other apps and systems. Do not get bogged down in scripts and logs while setting up your data stack. Eliminate the burden of building, managing, and maintaining ETL pipelines.
    Starting Price: $1 per month
  • 2
    5X

    5X

    5X

    5X is an all-in-one data platform that provides everything you need to centralize, clean, model, and analyze your data. Designed to simplify data management, 5X offers seamless integration with over 500 data sources, ensuring uninterrupted data movement across all your systems with pre-built and custom connectors. The platform encompasses ingestion, warehousing, modeling, orchestration, and business intelligence, all rendered in an easy-to-use interface. 5X supports various data movements, including SaaS apps, databases, ERPs, and files, automatically and securely transferring data to data warehouses and lakes. With enterprise-grade security, 5X encrypts data at the source, identifying personally identifiable information and encrypting data at a column level. The platform is designed to reduce the total cost of ownership by 30% compared to building your own platform, enhancing productivity with a single interface to build end-to-end data pipelines.
    Starting Price: $350 per month
  • 3
    Precisely Ironstream
    Integrate mainframe and IBM i systems into leading IT analytics and operations platforms for an enterprise-wide view to support your digital business. In today’s digital, always-on world, IT is arguably the most important department across your organization. A single security breach or service outage can bring your business to a standstill. But knowing what’s happening across an increasingly complex landscape of infrastructure and apps, and resolving issues before they impact the business, is a daunting task. The good news is that there are several platforms to help you monitor IT security and operations across the enterprise in real-time, and take action fast. The challenge, however, is that mainframe or IBM i systems aren’t natively supported by these modern tools. So, if you rely on these critical servers to run your business and you’re managing them in isolation, you have a dangerous blind spot.
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