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Use Cases

Real-time data, simplified

Power agentic AI applications with fresh, real-time data

Stream real-time data into vector databases to enable fast, semantic retrieval—ensuring accurate, context-aware responses in agentic AI and RAG architectures.

  • Deliver real-time context for AI models
  • Improve AI decision-making and automation
  • Seamlessly integrate with RAG pipelines
  • Accelerate time-to-market for AI applications

Simplify real-time data integration—all in one platform

Perform ELT, ETL, and reverse ETL from a single, unified platform, reducing complexity and streamlining real-time data movement.

  • Connect to your sources and destinations with ease
  • Reduce architectural complexity and overhead
  • Strengthen data governance and security

Stream real-time data effortlessly

Deliver fast, reliable data to power analytics, monitoring, and AI-driven decision-making—without the operational burden.

  • Leverage Flink and Debezium for real-time streaming
  • Transform data using SQL, Java, or Python
  • Seamlessly scale pipelines to meet demand
  • Manage all your data pipelines in one place

Join companies like Drata who trust Decodable for mission-critical real-time workloads

"We’re using Decodable to ingest nearly two terabytes of data a day. We've seen firsthand how Decodable accelerates the development of AI applications. Our engineers swiftly created a prototype in just 12 days, allowing us to expedite the launch of our AI product within two months."

Lior Solomon

VP of Data Engineering at Drata

Learn more about Decodable

Introduction to Real-time ETL with Decodable

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The Future of Real-time Data Streaming and AI

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The Blueprint for Success with Real−time Data

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