The Self-Service Platform for Streaming Data Pipelines

Benefit from Apache Kafka®-powered data pipelines, without handling the complexity.

Increase productivity. Save time and cost.

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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 Python®-based data transformations, which can be shared, previewed, and refined.

Cloud Native

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

AX Semantics GmbH
dkd Internet Service GmbH
ING-DiBa AG

The efficient way to build streaming 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.

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

DataCater's interactive pipeline designer ...

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
Python-based data transformations

Plug-and-play connectors for change data capture

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
Amazon RDS Amazon RDS
Amazon Redshift Amazon Redshift
Apache Kafka Apache Kafka
HDFS HDFS
Wordpress Wordpress
MongoDB MongoDB
Elasticsearch Elasticsearch
Google Cloud BigQuery Google Cloud BigQuery
TYPO3 TYPO3
Magento Magento
Microsoft SQL Server Microsoft SQL Server
MySQL MySQL
Oracle Oracle
Apache Solr Apache Solr
PostgreSQL PostgreSQL
Shopware Shopware
HubSpot HubSpot
Neo4j Neo4j
Salesforce Salesforce
Snowflake Snowflake
Typeform Typeform
Zendesk Zendesk

Native integration into cloud platforms

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.

Container-based deployments
Kubernetes
Kubernetes

Bridge the gap between business and engineering

Operate securely

We care about your data.

Security

Secure deployment

Each pipeline is executed as an isolated container, preventing any unauthorized access.

On-premise

Private installation

You can run DataCater on your infrastructure or inside your environment on a public cloud platform.

Monitoring

Monitoring

DataCater integrates into existing monitoring solutions to ensure worry-free operations.

GDPR

GDPR compliance

DataCater enables GDPR-compliant operations of streaming data pipelines.

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