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A stream data platform to help companies harness their high volume real-time data streams
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What is Confluent?

It is a data streaming platform based on Apache Kafka: a full-scale streaming platform, capable of not only publish-and-subscribe, but also the storage and processing of data within the stream
Confluent is a tool in the Message Queue category of a tech stack.

Who uses Confluent?

28 companies reportedly use Confluent in their tech stacks, including Payhere, Pratilipi, and Productboard.

132 developers on StackShare have stated that they use Confluent.

Confluent Integrations

Python, Java, Salesforce Sales Cloud, Kafka Streams, and Microsoft SharePoint are some of the popular tools that integrate with Confluent. Here's a list of all 8 tools that integrate with Confluent.
Pros of Confluent
Free for casual use
No hypercloud lock-in
Dashboard for kafka insight
Easily scalable
Zero devops
Decisions about Confluent

Here are some stack decisions, common use cases and reviews by companies and developers who chose Confluent in their tech stack.

Needs advice
ConfluentConfluentKafka StreamsKafka Streams

I have recently started using Confluent/Kafka cloud. We want to do some stream processing. As I was going through Kafka I came across Kafka Streams and KSQL. Both seem to be A good fit for stream processing. But I could not understand which one should be used and one has any advantage over another. We will be using Confluent/Kafka Managed Cloud Instance. In near future, our Producers and Consumers are running on premise and we will be interacting with Confluent Cloud.

Also, Confluent Cloud Kafka has a primitive interface; is there any better UI interface to manage Kafka Cloud Cluster?

See more

Confluent's Features

  • Reliable
  • High-performance stream data platform
  • Manage and organize data from different sources.

Confluent Alternatives & Comparisons

What are some alternatives to Confluent?
Databricks Unified Analytics Platform, from the original creators of Apache Spark™, unifies data science and engineering across the Machine Learning lifecycle from data preparation to experimentation and deployment of ML applications.
Kafka is a distributed, partitioned, replicated commit log service. It provides the functionality of a messaging system, but with a unique design.
RabbitMQ gives your applications a common platform to send and receive messages, and your messages a safe place to live until received.
Amazon SQS
Transmit any volume of data, at any level of throughput, without losing messages or requiring other services to be always available. With SQS, you can offload the administrative burden of operating and scaling a highly available messaging cluster, while paying a low price for only what you use.
Celery is an asynchronous task queue/job queue based on distributed message passing. It is focused on real-time operation, but supports scheduling as well.
See all alternatives

Confluent's Followers
210 developers follow Confluent to keep up with related blogs and decisions.