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 Databases category of a tech stack.
Key Features
Apache Spark, Apache Flink, and Akka StreamsFocus only on business logic, leave the boilerplate to usWe provide all the tooling for going from business logic to a deployable Docker imageWe provide Kubernetes tooling to deploy your distributed system with a single command, and manage durable connections between processing stagesWith a Lightbend subscription, you get all the tools you need to provide insights, observability, and lifecycle management for evolving your distributed streaming application
Cloudflow Pros & Cons
Pros of Cloudflow
No pros listed yet.
Cons of Cloudflow
No cons listed yet.
Cloudflow Alternatives & Comparisons
What are some alternatives to Cloudflow?
Kubernetes
Kubernetes is an open source orchestration system for Docker containers. It handles scheduling onto nodes in a compute cluster and actively manages workloads to ensure that their state matches the users declared intentions.
Docker Compose
With Compose, you define a multi-container application in a single file, then spin your application up in a single command which does everything that needs to be done to get it running.
Apache Spark
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.
