Cloudflow
DatabasesWhat 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?
MySQL
The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.
PostgreSQL
PostgreSQL is an advanced object-relational database management system that supports an extended subset of the SQL standard, including transactions, foreign keys, subqueries, triggers, user-defined types and functions.
MongoDB
MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.
