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.
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
Decisions about Confluent
Here are some stack decisions, common use cases and reviews by companies and developers who chose Confluent in their tech stack.
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?
- High-performance stream data platform
- Manage and organize data from different sources.
Confluent Alternatives & Comparisons
What are some alternatives to Confluent?
See all alternatives
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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.
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.