How it works

DataCater provides the best tools to build and operate streaming data pipelines.

Build data pipelines

DataCater's interactive pipeline designer allows building streaming data pipelines without coding. It ships an extensive repository of transformation and filter functions that cover most needs in data preparation for machine learning and analytics.

When you build data pipelines, the pipeline designer interactively previews their impact on the consumed data source, which creates full transparency on applied transformations.

Interactive previews

Many transformation and filter functions

No coding required

Powerful data profiler


Connect with data stores

DataCater provides connectors for many different data stores, ranging from database systems over flat files and file systems to search indices. Data connectors are technically based on the Kafka Connect framework, which prevents vendor lock-in and enables you to develop custom connectors.

DataCater can continuously stream data changes from data sources to data sinks and transform them on the way, in real time.

Kafka Connect

Full automation of data preparation

Change data capture

Support for custom connectors

Deploy to production

DataCater compiles data pipelines to highly-optimized Kafka Streams applications, which can be deployed with Docker or Kubernetes.

DataCater supervises executed pipelines, collects essential metrics that provide helpful insights into applied data transformations, and sends alerts once failures have been detected.

Kafka Streams applications

Continuous execution of data pipelines

Monitoring of pipeline health


Monitor data quality

DataCater continuously monitors the quality of all data sources and notifies you once changes have been discovered. This helps to identify flaws in the data as early as possible and enables you to adjust the consuming data pipelines to keep the quality of the data sinks at a high level.

Monitoring of quality metrics, such as the number of distinct values

Support for custom quality metrics