▶️ Tech Talk: Future of Real-time Data Streaming and AI

Data where you need it, when you need it

The real-time data platform powered by Apache Flink and Debezium.

One platform for real-time ETL/ELT and stream processing

Fully Managed

Unify your stack, eliminate infrastructure overhead

A fully-managed, serverless platform for data movement and processing. Built on Apache Flink + Debezium + All the other stuff you need.

Simplified Development

Build real-time pipelines easily

Build pipelines using SQL, Java, Python and reliably move data with our built-in connectors, CDC, and powerful stream processing.

Operational Excellence

Ensure production-grade SLAs and compliance

A battle-tested open core (Apache Flink, Debezium) with built-in security and compliance (HIPPA, GDPR, SOC 2), and experts safeguarding your pipelines.

Managed Flink —
A Buyer's Guide

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Architecture Guide for Managed Flink

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Solve your data challenges with Decodable

Ingest high-volume event data into your warehouse or lake

Cleanse, transform, and ingest clickstream, API requests, telemetry, and other high-volume event data from platforms like Apache Kafka into your data warehouse or data lake for analytics.

Replicate databases to your warehouse with CDC

Efficiently replicate database tables from application databases  with minimal impact to production with Debezium-powered change data capture.

Deliver real-time updates to caches and search indexes

Improve in-app user experience by applying updates to application caches and search indexes from databases and event streaming platforms in real-time.

Power AI applications with fresh, real-time data

AI is only as good as the data available to it. Continuously ingest data into vector databases as part of a RAG architecture so models provide timely and accurate answers.

Fast and reliable data, without the hassle

Fully managed Apache Flink and Debezium made simple. Only on Decodable.

Effortless real-time ETL/ELT

Before

Moving your real-time data often requires stitching together multiple tools leading to data pipeline sprawl, latency issues, and operational overhead.

After

Decodable unifies real-time data ingestion, processing, and delivery in a single platform with pre-built connectors to capture data from databases, event streams, APIs, and more. Process and transform the data using SQL or the Flink APIs and deliver the curated data sets to any target system. Decodable ensures data quality, consistency, and compliance.

Stream processing made simple

Before

Building stream processing jobs with Apache Flink can be complex, requiring deep technical expertise to set up and manage.

After

Decodable provides a fully-managed platform for Apache Flink that eliminates the operational complexity allowing you to build and deploy Flink jobs in minutes. We handle the infrastructure so you can focus on processing your real-time data streams.