Are data storage and consumption costs soaring because there is a lack of control over your data pipeline? Reduce your costs by only sending the data you need to Snowflake, Fivetran, or any other Data Cloud.
Reduce storage costs by only sending events you need to your Datalake or Data Warehouse.
Along with native indexing in data science-friendly formatting, Streamdal allows you to operate on and filter your data.
Lower your pipeline costs, Snowflake resource requirements, and reduce bulky transfers.
Unlimited connections. Unlimited destinations.
No paywalls or limits on connections or destinations. Streamdal scales with your data ops, and connects to all your familiar tools and systems.
Observe. Search. Operate.
Search, filter, and view data from any point in time in human-readable form, regardless of encoding. Scope precise data sets into pure and polished forms with functions.
Monitor compliance, data drift, and anomalies.
Prevent data quality issues from affecting business operations or compliance. Monitor for and fix poor-quality data before it streams into the Data Lake.
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.
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.
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.