Tag: Featured Resource

2025 GigaOm Radar for Streaming Data Platforms

Posted on by Striim | 1 min read | 3 views

As real-time data becomes foundational to modern analytics and AI, organizations need streaming data platforms that go beyond basic ingestion—they must be intelligent, scalable, and ready for edge and enterprise deployment.

In this complimentary copy of the 2025 GigaOm Radar for Streaming Data Platforms, you’ll discover why Striim is proudly named a Leader and Outperformer. Uncover:

  • The key selection criteria used—including performance, SQL usability, data quality, edge-readiness, and ML integration.
  • How GigaOm evaluates innovation and execution with an emphasis on real-time analytics and architectural flexibility.
  • Why Striim stands out for its vector embeddings, real-time ML, and hybrid deployment flexibility.

Combining Change Data Capture with Streaming to Drive AI-Powered Real-Time Analytics

Posted on by Striim Team | 1 min read | 3 views

AI thrives on real-time data. In a world where businesses generate massive volumes of data every second, success hinges on the ability to process, analyze, and act on that data instantly. Change Data Capture (CDC) and streaming technologies form the foundation for AI-driven analytics, ensuring data is always fresh, accurate, and actionable.

Together, CDC and streaming empower businesses to:

  • Supercharge AI models with real-time data: Provide AI with up-to-the-second insights to improve predictions and drive smarter decisions.
  • Adapt operations with AI-powered agility: Real-time processing enables immediate responses to market shifts, customer behaviors, and operational changes.
  • Deliver hyper-personalized experiences: AI leverages real-time streams to create tailored interactions that enhance engagement and satisfaction.
  • Streamline critical processes: From fraud detection to predictive maintenance, AI acts on live data to mitigate risks and improve outcomes.
  • Power agentic AI frameworks: Enable AI systems to operate autonomously by continuously ingesting and responding to real-time data.
Back to top ⇧