Navigate your data streams effortlessly
Effortlessly locate topics, applications, and SQL worksheets, even in large-scale deployments across multiple clusters. Use the business domain overview to quickly access resources by domain. The Data and App Catalog provides a clear, high-level perspective of your data streaming environment.
Never outdated, always relevant API documentation
Create attractive topic documentation with always up-to-date schemas and metrics with no additional effort. Documentation is exactly where it’s needed, for everyone who has access. Jump into new projects faster and smarter.
Organize your data streams around your business
Make your streams mirror your organization’s structure. See every business domain’s topics, applications, and members in one clear view. Even non-technical users can grasp it instantly—a game-changer for collaboration.
Explore more use cases
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.
Correct data & improve data quality
Correct data in dead letter queues with a few clicks. Create automations for common fixes and receive notifications when data fails to meet quality criteria.
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.
Explore more use Cases
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.
Correct data & improve data quality
Correct data in dead letter queues with a few clicks. Create automations for common fixes and receive notifications when data fails to meet quality criteria.
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.