Product
Overview

Connect to data sources, process data, and send it to where it needs to go.

Powerful Stream Processing

All of the power of Apache Flink without the configuration and management.

Fully Managed

A fully managed cloud service. Nothing to deploy or maintain, just 100% cloud-native stream processing goodness.

Deployment Options

Available in two deployment modes: fully hosted, or bring-your-own-cloud (BYOC).

Connectors

A comprehensive library of connectors for all common data systems.

Data Movement

A library of guides for common data movement flows.

Solutions
Solution Guides

Solve business problems, leave the infrastructure to us.

Apache Flink

Flink is the industry standard for stream processing.

Debezium

Debezium is the change data capture champion.

Apache Kafka

Kafka delivers scalable data transport and storage.

Extract, Load, Transform

Streamline your batch or real-time ELT processes.

Extract, Transform, Load

Streamline your batch or real-time ETL processes.

Stream Processing

Simplified stream processing for batch and real time.

Reverse ETL

Simplify data activation for your cloud applications.

Agentic AI

Augment your AI interactions with real-time data.

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Our Blog

The latest news, opinions, and technical articles.

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Live presentations and demos from Decodable and friends.

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In-depth guides on technical topics and more.

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Press releases from Decodable and other media coverage.

Events

Industry conferences and events where you can meet Decodable.

Podcasts

Conversations with industry experts.

Videos

Presentations on Apache Flink, CDC, stream processing, and more.

Decodable vs. Amazon MSF

Why MSF's challenges can be costly.

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Become a Decoder! See option positions.

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The Top 5 Streaming ETL Patterns
March 24, 2022
10
min read
Blog

The Top 5 Streaming ETL Patterns

ETL and ELT are traditionally scheduled batch operations, but as the need for always-on, always-current data services becomes the norm, realtime ELT operating on streams of data is the goal of many organizations - if not the reality, yet.In real world usage, the ‘T’ in ETL represents a wide range of patterns assembled from primitive operations. In this blog we’ll explore these operations and see examples of how they’re implemented as SQL statements.
By
Decodable Team
The Future of Real Time Data Engineering
November 14, 2021
4
min read
Blog

The Future of Real Time Data Engineering

Building pipelines should be fast, safe, and even fun. If you're a data engineer working in the batch world and need to handle real-time data, we've got you covered. If you're an application engineer building microservices or other data-powered infrastructure, Decodable is for you.
By
Eric Sammer
Decodable’s Public Beta Is Here!
November 13, 2021
3
min read
Blog

Decodable’s Public Beta Is Here!

Decodable Beta is now open to the general public! We invite you to create an account and start building real-time pipelines in SQL immediately with zero infrastructure to deploy. Create any number of connections, streams, and pipelines, and process up to 500GB per day for free.
By
Eric Sammer
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