Compare the Top Streaming Analytics Platforms for Cloud as of October 2026

What are Streaming Analytics Platforms for Cloud?

Streaming analytics platforms are software solutions that enable real-time processing and analysis of data as it is generated or streamed from various sources such as IoT devices, sensors, social media, and transactional systems. These platforms allow businesses to gain immediate insights from continuous data streams, enabling them to make faster decisions, detect anomalies, and optimize operations in real-time. Key features of streaming analytics platforms include data ingestion, real-time event processing, pattern recognition, and advanced analytics like predictive modeling and machine learning integration. They are commonly used in applications such as fraud detection, customer behavior analysis, network monitoring, and supply chain optimization. Compare and read user reviews of the best Streaming Analytics platforms for Cloud currently available using the table below. This list is updated regularly.

  • 1
    Cumulocity

    Cumulocity

    Cumulocity GmbH

    Cumulocity offers an enterprise-grade AIoT platform that connects & manages assets efficiently, transforms raw device data into AI-ready data, and orchestrates innovation from cloud to edge, combined with a team of experts and a large ecosystem of device, technology, and implementation partners to achieve lasting customer success. Cumulocity is the preferred choice for industrial equipment makers to develop high-value digital services and is trusted by leading companies worldwide as their partner, knowing they have access to the software and services needed to power their smart connected products in manufacturing, fleet management, consumer electronics, and more.
    Starting Price: $215
  • 2
    IBM StreamSets
    IBM® StreamSets enables users to create and manage smart streaming data pipelines through an intuitive graphical interface, facilitating seamless data integration across hybrid and multicloud environments. This is why leading global companies rely on IBM StreamSets to support millions of data pipelines for modern analytics, intelligent applications and hybrid integration. Decrease data staleness and enable real-time data at scale—handling millions of records of data, across thousands of pipelines within seconds. Insulate data pipelines from change and unexpected shifts with drag-and-drop, prebuilt processors designed to automatically identify and adapt to data drift. Create streaming pipelines to ingest structured, semistructured or unstructured data and deliver it to a wide range of destinations.
    Starting Price: $1000 per month
  • 3
    SQLstream

    SQLstream

    Guavus, a Thales company

    SQLstream ranks #1 for IoT stream processing & analytics (ABI Research). Used by Verizon, Walmart, Cisco, & Amazon, our technology powers applications across data centers, the cloud, & the edge. Thanks to sub-ms latency, SQLstream enables live dashboards, time-critical alerts, & real-time action. Smart cities can optimize traffic light timing or reroute ambulances & fire trucks. Security systems can shut down hackers & fraudsters right away. AI / ML models, trained by streaming sensor data, can predict equipment failures. With lightning performance, up to 13M rows / sec / CPU core, companies have drastically reduced their footprint & cost. Our efficient, in-memory processing permits operations at the edge that are otherwise impossible. Acquire, prepare, analyze, & act on data in any format from any source. Create pipelines in minutes not months with StreamLab, our interactive, low-code GUI dev environment. Export SQL scripts & deploy with the flexibility of Kubernetes.
  • 4
    GigaSpaces

    GigaSpaces

    GigaSpaces

    eRAG (enterprise RAG) combines the power of real-time operational data with GPT’s fantastic user experience: Chat spontaneously and get immediate answers grounded in a unique understanding of your operational data. With its sophisticated semantic reasoning capabilities, eRAG ensures you get accurate, consistent answers. It answers complex, cross-system questions instantly, supports decisions with suggestions, challenges, and next steps. eRAG connects your business data with external events, so that you can weigh the effect of new tax legislation or weather disruptions on your operations. eRAG combines all your operational data sources so you can get a full, unified picture of your business, offering measurable revenue and efficiency outcomes. Through a self-serve UI, IT teams can connect SQL-based databases like Oracle, PostgreSQL, SAP and other systems in just a few clicks. And you can get up and running in 2–3 weeks - no data prep needed.
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