CHANGE DATA CAPTURE

Enterprise-Scale CDC, <250ms Latency

Stream database changes to any destination the moment they happen. The only CDC platform proven to handle millions of tables with latency under 250ms.

Millions
tables

Enterprise Scale

The only platform proven to stream millions of tables in production. Competitors max out at 50K.

100K+
tenants

Multi-Tenant Ready

Automatic tenant ID tagging and regex-based grouping for 100,000+ tenant databases.

<250ms
latency

Real-time Delivery

Changes captured and delivered in milliseconds, not hours or days. End-to-end, source to destination.

40x
savings

Massive Savings

Customers report 40x lower ingestion costs vs previous solutions.

<250ms Latency

Changes are captured and delivered in under 250 milliseconds, source to destination.

Zero Polling Overhead

Log-based CDC reads from the database transaction log without impacting performance.

Automatic Schema Evolution

Schema changes are automatically detected and propagated to downstream systems.

Zero Maintenance

Self-healing pipelines that recover automatically. Customers reduced maintenance from 24+ hours/month to 2 hours.

How CDC Works

1

Connect to Your Database

Configure a connection to your source database. Streamkap supports PostgreSQL, MySQL, MongoDB, SQL Server, and more.

2

Select Tables to Stream

Choose which tables to capture. You can stream entire databases or select specific tables.

3

Stream to Destinations

Route captured changes to your data warehouse, message queue, or any supported destination.

Supported Databases

PostgreSQL
MySQL
MongoDB
SQL Server
Oracle
DynamoDB

Common Use Cases

Real-time Analytics

Keep your data warehouse updated with the latest data for accurate dashboards and reports.

Data Replication

Synchronize databases across regions or migrate to a new database platform.

Event-Driven Architecture

Trigger downstream services and workflows based on database changes.

Start capturing changes today

Set up your first CDC pipeline in minutes. No credit card required.

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