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DataCater
A cloud-native, real-time data pipeline platform based on Kubernetes and Apache Kafka.
Teams
DataCater
caters to:
Data Engineering
Marketing
What need does
DataCater
fulfill?
DataCater makes event streaming accessible to data teams by offering a unified approach to building and deploying streaming data pipelines. Users can choose between a no-code pipeline designer with full support for Python transformations and a declarative interface to iterate on data pipelines in seconds and deploy them to production in minutes. DataCater operates on top of Kubernetes, can be deployed inside cloud environments, and uses elastic scaling for both the cluster and pipelines.
What are the core features of
DataCater
?
- No-code pipeline designer with full support for Python transformations
- One-click deployment of data pipelines on a Kubernetes cluster
- Role-based collaboration on streaming data pipelines
What are the benefits of using
DataCater
?
- Drastically reduce time to production for streaming data pipelines
- Make event streaming a commodity for data teams
- Apply cloud-native principles to data development
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DataCater
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