What is Cloudflow?
It enables you to quickly develop, orchestrate, and operate distributed streaming applications on Kubernetes. With Cloudflow, streaming applications are comprised of small composable components wired together with schema-based contracts. It can dramatically accelerate streaming application development—reducing the time required to create, package, and deploy—from weeks to hours.
Cloudflow is a tool in the Big Data Tools category of a tech stack.
Cloudflow is an open source tool with 275 GitHub stars and 82 GitHub forks. Here’s a link to Cloudflow's open source repository on GitHub
Who uses Cloudflow?
- Apache Spark, Apache Flink, and Akka Streams
- Focus only on business logic, leave the boilerplate to us
- We provide all the tooling for going from business logic to a deployable Docker image
- We provide Kubernetes tooling to deploy your distributed system with a single command, and manage durable connections between processing stages
- With a Lightbend subscription, you get all the tools you need to provide insights, observability, and lifecycle management for evolving your distributed streaming application
Cloudflow Alternatives & Comparisons
What are some alternatives to Cloudflow?
See all alternatives
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Spark is a fast and general processing engine compatible with Hadoop data. It can run in Hadoop clusters through YARN or Spark's standalone mode, and it can process data in HDFS, HBase, Cassandra, Hive, and any Hadoop InputFormat. It is designed to perform both batch processing (similar to MapReduce) and new workloads like streaming, interactive queries, and machine learning.
Helm is the best way to find, share, and use software built for Kubernetes.
Rancher is an open source container management platform that includes full distributions of Kubernetes, Apache Mesos and Docker Swarm, and makes it simple to operate container clusters on any cloud or infrastructure platform.