Use DataCater to interactively build and deploy Apache Kafka®-powered streaming data pipelines, which connect your data systems in real-time.
DataCater can transform, clean, filter, and enrich data while streaming them from data sources to data sinks.
Example: Anonymize customer data before loading them from an on-premise database system into a cloud data warehouse.
In addition to no-code transformations, DataCater supports Python®-based user-defined functions as a powerful means to implementing custom requirements in streaming data pipelines.
DataCater allows business users to interactively preview, validate and refine user-defined functions.Watch user-defined functions in action
DataCater turns your data systems into real-time changelogs. After performing an initial snapshot of the data source, DataCater streams change events to data sinks in real-time.
DataCater does not only improve the robustness and resource consumption of your data architecture but also allows downstream applications to always work with current data.
Example: Stream data from Magento to a Snowflake data warehouse.View our integrations
DataCater On-Premise can be deployed inside your cloud environment, without us having access to your data.
DataCater runs all pipelines as containers, which enables the native integration of DataCater into existing logging and monitoring services.
We care about your data.
Each pipeline is executed as an isolated container, preventing any unauthorized access.
You can run DataCater on your infrastructure or inside your environment on a public cloud platform.
DataCater integrates into existing monitoring solutions to ensure worry-free operations.
DataCater enables GDPR-compliant operations of streaming data pipelines.
We would be happy to show you DataCater in action.
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