
Migrating
from batch replication or looking for ways to
easily access, analyze, and optimize CDC data?
Without the right tools, this process can be expensive, complex and time-consuming. Your teams are left struggling in the dark while precious time is wasted on manual processes.


Enable your engineers with an all-in-one CDC solution.
Streamdal powers Change Data Capture (CDC) with observability, real-time monitoring, and functions. Allows your teams to quickly and efficiently access and analyze your streaming CDC data. Never let bad data cause lengthy outages, inaccurate views, or costly downstream processing issues again.

Transform your CDC data in real-time
Set up custom functions in Streamdal and enable CDC data transformation in real-time. We support Javascript, Typescript, AssemblyScript (WASM), Rust, and TinyGo. You can run ad-hoc functions or set up recurring functions to transform CDC data as it streams.

Real-time CDC Analytics
Gain access to real-time analytics for your CDC streaming data. Improve insights and visibility into your data streams.

Cost Optimization for CDC Data
Sending and storing CDC data in Snowflake is expensive, filter for only the data you actually need and automatically transfer it to your Snowflake Warehouse.
Introducing

An All-In-One Data Platform



Tap Data Streams
See inside any event driven architecture at any scale. Enable teams to deliver complex features faster, less bug-prone, and improve their SLOs.
Anomaly Detection Engine
Detect PII, ensure data uses expected types and has valid contents. Use serverless functions to implement custom anomaly checks on pre-decoded data.
Integrations
We support a huge, ever-evolving list of integrations for most data-related systems. All integrations have first-class support and are ready for production-grade use.
Functions
Define functions in any language to perform complex monitoring tasks, strip sensitive information from in-flight data or create a one-time function to fix data in our Smart DLQ.
Smart Dead Letter Queue
Stage dead-lettered data, perform one-off or mass-fixes using custom functions on pre-decoded data and replay the results to any destination.
Monitor & Alert
See beyond performance metrics, and answer exactly why something is breaking. Give your DevOps teams split second reaction times when things go bad.