Change Data Capture
with Decodable

Streamline your batch or real-time ELT processes with fully managed CDC for faster insights

What is CDC?

As businesses generate and consume vast amounts of data every second, the need for real-time data integration and analysis has never been more crucial.

Introduction to Change Data Capture

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Why Do I Need CDC?

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Seven Ways to Put CDC to Work

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Fresh data.
Even fresher insights.

Unified streaming and batch processing

Combine streaming and batch processing under a single platform.

Support for multiple databases

Including MySQL, PostgreSQL, MongoDB, Oracle, and more.

Low latency and fault tolerance

Process and deliver change data with minimal delay, ensuring data consistency and reliability.

Stateful processing capabilities

Apply complex, stateful stream processing on top of change data.

Scalability

Benefit from Flink’s scalable architecture, which can handle large data volumes across distributed systems.

Open source and extensible

Customize Flink to meet your specific use case with additional features, connectors, or custom logic.

CDC made simple with Decodable + Debezium

Simplified setup

Get help with the complex infrastructure management, allowing you to focus on connecting data sources and building real-time applications.

Security and stability

Build with enterprise-grade security, backed by a dedicated team that ensures your data is processed reliably and securely.

Extensive connector library

Easily gain access to your data sources and sinks with our fully-managed connector library.

Lower complexity with Debezium

Decodable offers a fully managed Debezium service, allowing you to get started quickly.

Real-time or Fall Behind:CDC and Stream Processing Simplified

Unlock Real-time Insights: Understand how CDC and stream processing work together to provide up-to-the-second data for faster, more accurate decision-making.

Modernize Your Data Architecture: Learn how to leverage CDC and stream processing to create a more efficient, scalable, and responsive data ecosystem.

Simplify Complex Data Pipelines: Discover how tools like Decodable can streamline the implementation of CDC and stream processing, reducing complexity and operational overhead.

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How Drata Leverages Real-time Data to Transform Operations and Reduce Costs

Watch this Tech Talk to learn:

How Drata leveraged Decodable to achieve real-time data streaming and reduce data warehousing costs by 20%

The process Drata used to implement a GenAI solution that expedited their AI product launch by two months.

The strategies Drata employs to maintain agility and foster innovation with Decodable's support.

Watch On Demand

Lior Solomon

VP of Data Engineering at Drata

Josh Mahonin

Senior Staff Engineer at Decodable

Solve your real-world challenges

You have business goals. CDC helps you achieve them.

Application caches

Crucial for improving performance and reducing load, CDC ensures local caches are up-to-date.

Full-Text Search

Power applications needing full-text queries from data stores specifically designed for that purpose.

Audit logs

Capture database transaction logs with CDC to record every insert, update, and delete operation.

Continuous Queries

CDC streams drive queries on incrementally updated materialized views, always yielding the latest results.

Microservices Data Exchange

The outbox pattern implemented using CDC keeps your microservice data in sync.

Microservices Migration

Use CDC to propagate data changes from monolith architectures to distributed microservices.

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

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BLog

Understanding CDC with Debezium Server and Debezium Engine

Learn how Debezium, the de-facto standard for open-source change data capture (CDC), has evolved to support deployments without the need for Kafka-related infrastructure.
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