Unleash the full potential of your data team.

Welcome to the complete platform for Apache Kafka^®-powered streaming data pipelines, accessible to both business and engineering.

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Interactive Pipeline Designer

Implement your business rules and data requirements with streaming data pipelines. No coding required.

Extend With Code

Support for user-defined functions, which can be shared, previewed, validated, and refined.

Cloud Native

DataCater is designed for the cloud era and can be deployed on private or public cloud platforms.

DataCater's interactive pipeline designer

Focus on your job, not engineering and maintaining data pipelines

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.

Choose from more than 50 no-code filter and transformation functions.

Example: Anonymize customer data before loading them from an on-premise database system into a cloud data warehouse.

First-class support for code-based transformations

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

Plug-and-play connectors for change data capture

After performing an initial snapshot of the data source, DataCater streams change events (INSERTs, UPDATEs, and DELETEs) 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

Amazon RDS