Cloudflow vs Azure Synapse: What are the differences?

What is Cloudflow? *Streaming Data Pipeline on Kubernetes *. 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.

What is Azure Synapse? Analytics service that brings together enterprise data warehousing and Big Data analytics. It is an analytics service that brings together enterprise data warehousing and Big Data analytics. It gives you the freedom to query data on your terms, using either serverless on-demand or provisioned resources—at scale. It brings these two worlds together with a unified experience to ingest, prepare, manage, and serve data for immediate BI and machine learning needs.

Cloudflow and Azure Synapse belong to "Big Data Tools" category of the tech stack.

Some of the features offered by Cloudflow are:

• 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

On the other hand, Azure Synapse provides the following key features:

• Complete T-SQL based analytics – Generally Available
• Deeply integrated Apache Spark
• Hybrid data integration

Cloudflow is an open source tool with 221 GitHub stars and 60 GitHub forks. Here's a link to Cloudflow's open source repository on GitHub.