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Confluent

Confluent

#12in Background Jobs
Discussions1
Followers239
OverviewDiscussions1AdoptionAlternativesIntegrations
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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 Background Jobs category of a tech stack.

Key Features

ReliableHigh-performance stream data platformManage and organize data from different sources.

Confluent Pros & Cons

Pros of Confluent

  • ✓Free for casual use
  • ✓Dashboard for kafka insight
  • ✓No hypercloud lock-in
  • ✓Easily scalable
  • ✓Zero devops

Cons of Confluent

  • ✗Proprietary

Confluent Alternatives & Comparisons

What are some alternatives to Confluent?

Kafka

Kafka

Kafka is a distributed, partitioned, replicated commit log service. It provides the functionality of a messaging system, but with a unique design.

RabbitMQ

RabbitMQ

RabbitMQ gives your applications a common platform to send and receive messages, and your messages a safe place to live until received.

Amazon SQS

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

Celery

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.

ActiveMQ

ActiveMQ

Apache ActiveMQ is fast, supports many Cross Language Clients and Protocols, comes with easy to use Enterprise Integration Patterns and many advanced features while fully supporting JMS 1.1 and J2EE 1.4. Apache ActiveMQ is released under the Apache 2.0 License.

MQTT

MQTT

It was designed as an extremely lightweight publish/subscribe messaging transport. It is useful for connections with remote locations where a small code footprint is required and/or network bandwidth is at a premium.

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Adoption

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Confluent Integrations

BDS, SDL, Microsoft SharePoint, Java, Python and 4 more are some of the popular tools that integrate with Confluent. Here's a list of all 9 tools that integrate with Confluent.

BDS
BDS
SDL
SDL
Microsoft SharePoint
Microsoft SharePoint
Java
Java
Python
Python
Salesforce Sales Cloud
Salesforce Sales Cloud
Kafka Streams
Kafka Streams
Parseable
Parseable
Zilliz Cloud
Zilliz Cloud

Confluent Discussions

Discover why developers choose Confluent. Read real-world technical decisions and stack choices from the StackShare community.

Marmik Shah
Marmik Shah

Jan 4, 2022

Needs adviceonConfluentConfluentKafkaKafkaKafka 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?

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