Correct erroneous records effortlessly
Quickly detect faulty records, resolve issues manually or using JavaScript for bulk corrections, and effortlessly reinsert them into the original stream to guarantee error-free downstream processing.
Improve data quality with automation
Address common data issues efficiently using automation. With a single click, transform your JavaScript code into a robust data streaming application, built according to industry best practices. By eliminating boilerplate code and reducing complexity, you can focus entirely on the core business logic of your data mappings.
Monitor your data quality
Receive instant notifications when data fails to meet quality criteria, allowing teams to address issues promptly. Create and share data views to effectively communicate problems, enabling faster resolution and better alignment across teams.
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Discovery at Scale
Make data streaming accessible to everyone. Quickly find topics and applications across all clusters. Keep topics, applications and SQL worksheets organized with the comprehensive business domain dashboard.
Build + run data streaming processors without the complexity
Facilitate rapid development through low-code by writing your own data streaming processors with JavaScript, Python or SQL and run them within minutes instead of days.
Troubleshoot your data & applications
Explore data in your data streams, detect erroneous records, and share your findings with your teammates. React quickly through notifications when dead letter messages arrive.
Improve your testing and quality assurance
Create and re-route test data and invite test teams to check for plausibility & business logic. Clone test environments with production-like data while staying compliant through data anonymization and masking.
Keep your applications up and running
Skip over poison pills (erroneous messages) and keep track of your application’s performance.
Try the Data Streamhouse for yourself
Experience the platform powering data streaming success around the globe.
