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Pipelines stream data from data sources to data sinks and can apply no-code or Python® transforms on the way. All plans use a pricing mechanism that scales with the number of pipelines you built.
Developer
Pipeline designer
Python transforms
Plug & play connectors for change data capture
Health monitoring & alerting
No collaboration
E-mail notifications
E-mail support
Team
Everything in Developer, plus:
Project-based collaboration with multiple team members
Slack notifications
Chat support
Enterprise
Everything in Team, plus:
Audit logs
SAML single-sign on
Phone support
Self-managed hosting available
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Do you prefer to run DataCater inside your own environment, on your premises?
We offer a self-managed installation of DataCater that can be deployed on your own infrastructure, private or public cloud.
Please fill out the form to discuss pricing options and request a tailored offer.
Let us help answer the most common questions you might have.
A pipeline streams data from a data source (e.g., a MySQL table) to a data sink (e.g., an Elasticsearch index) and can transform the data on the way.
We charge you depending on your plan and the number of pipelines created. For instance, if you use the plan Developer and create three pipelines, we will charge you 87 EUR per month.
The free trial provides you with complete access to all features of the DataCater platform for up to 14 days. After the trial period, you will have to choose one of our three plans. If you don't, your access will be deactivated.
Absolutely. You can change your plan at any given time. Changes are effective at the start of the next billing period.
Yes. Please reach out to us to see whether you qualify for our volume discounts.
No problem! Please reach out to us with your requirements using our contact form.
We deliver DataCater as a Docker® image using our private Docker® registry and offer Helm Charts for installing DataCater on Kubernetes. We're here to help you install DataCater and integrate it into your existing architecture.
We try to keep the list of available connectors up-to-date. Since we build on top of Apache Kafka Connect® for implementing connectors, we can easily integrate existing Apache Kafka Connect® connectors, which are not (yet) listed on our website, or develop new ones.
We make monthly releases. We typically provide a new release on the first working day of the month.
DataCater is based on Apache Kafka®, Apache Kafka Connect®, and Apache Kafka Streams®. If you do not yet employ Apache Kafka®, we can help you get started. For the deployment of pipelines, DataCater uses Docker® or Kubernetes®.
Yes. We're here to help you install DataCater Self-Managed on your existing Apache Kafka® Cluster.
Please use our contact form.