Best Real-Time Data Streaming Tools for Splunk Cloud Platform

Compare the Top Real-Time Data Streaming Tools that integrate with Splunk Cloud Platform as of October 2025

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

What are Real-Time Data Streaming Tools for Splunk Cloud Platform?

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 Splunk Cloud Platform 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
    Oracle Cloud Infrastructure Streaming
    Streaming service is a real-time, serverless, Apache Kafka-compatible event streaming platform for developers and data scientists. Streaming is tightly integrated with Oracle Cloud Infrastructure (OCI), Database, GoldenGate, and Integration Cloud. The service also provides out-of-the-box integrations for hundreds of third-party products across categories such as DevOps, databases, big data, and SaaS applications. Data engineers can easily set up and operate big data pipelines. Oracle handles all infrastructure and platform management for event streaming, including provisioning, scaling, and security patching. With the help of consumer groups, Streaming can provide state management for thousands of consumers. This helps developers easily build applications at scale.
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