Best Real-Time Data Streaming Tools for Apache Iceberg

Compare the Top Real-Time Data Streaming Tools that integrate with Apache Iceberg as of October 2025

This a list of Real-Time Data Streaming tools that integrate with Apache Iceberg. Use the filters on the left to add additional filters for products that have integrations with Apache Iceberg. View the products that work with Apache Iceberg in the table below.

What are Real-Time Data Streaming Tools for Apache Iceberg?

Real-time data streaming tools enable organizations, big data and machine learning professionals, and data scientists to stream data in real time, and build data models when new data is created or ingested. Compare and read user reviews of the best Real-Time Data Streaming tools for Apache Iceberg currently available using the table below. This list is updated regularly.

  • 1
    Amazon Data Firehose
    Easily capture, transform, and load streaming data. Create a delivery stream, select your destination, and start streaming real-time data with just a few clicks. Automatically provision and scale compute, memory, and network resources without ongoing administration. Transform raw streaming data into formats like Apache Parquet, and dynamically partition streaming data without building your own processing pipelines. Amazon Data Firehose provides the easiest way to acquire, transform, and deliver data streams within seconds to data lakes, data warehouses, and analytics services. To use Amazon Data Firehose, you set up a stream with a source, destination, and required transformations. Amazon Data Firehose continuously processes the stream, automatically scales based on the amount of data available, and delivers it within seconds. Select the source for your data stream or write data using the Firehose Direct PUT API.
    Starting Price: $0.075 per month
  • 2
    Streamkap

    Streamkap

    Streamkap

    Streamkap is a streaming data platform that makes streaming as easy as batch. Stream data from database (change data capturee) or event sources to your favorite database, data warehouse or data lake. Streamkap can be deployed as a SaaS or in a bring your own cloud (BYOC) deployment.
    Starting Price: $600 per month
  • 3
    Apache Flink

    Apache Flink

    Apache Software Foundation

    Apache Flink is a framework and distributed processing engine for stateful computations over unbounded and bounded data streams. Flink has been designed to run in all common cluster environments, perform computations at in-memory speed and at any scale. Any kind of data is produced as a stream of events. Credit card transactions, sensor measurements, machine logs, or user interactions on a website or mobile application, all of these data are generated as a stream. Apache Flink excels at processing unbounded and bounded data sets. Precise control of time and state enable Flink’s runtime to run any kind of application on unbounded streams. Bounded streams are internally processed by algorithms and data structures that are specifically designed for fixed sized data sets, yielding excellent performance. Flink is designed to work well each of the previously listed resource managers.
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