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  5. CloudKarafka vs Confluent

CloudKarafka vs Confluent

OverviewComparisonAlternatives

Overview

Confluent
Confluent
Stacks337
Followers239
Votes14
CloudKarafka
CloudKarafka
Stacks2
Followers22
Votes0

CloudKarafka vs Confluent: What are the differences?

  1. Pricing Model: CloudKarafka offers a pay-as-you-go pricing model based on the selected plan, while Confluent provides a subscription-based pricing model with specific features available for each tier.
  2. Managed Services: CloudKarafka offers a fully managed service, taking care of the infrastructure, scaling, and monitoring, whereas Confluent provides a managed service but also offers self-managed options for more customization and control.
  3. Integration Ecosystem: Confluent has a larger ecosystem of integrations and connectors available, providing more options for connecting to various systems and applications compared to CloudKarafka.
  4. Data Processing Capabilities: Confluent offers additional data processing capabilities through its Confluent Platform, including real-time stream processing and data integration tools, which are not part of the core offerings of CloudKarafka.
  5. Support and SLA: Confluent provides different support levels and SLAs, including enterprise-level support options, whereas CloudKarafka offers standard support with the option to upgrade for dedicated support.
  6. Scalability: CloudKarafka offers instant scalability with the ability to easily upgrade to higher plans or resources on demand, whereas Confluent requires more manual intervention for scaling resources.

In Summary, CloudKarafka and Confluent differ in their pricing models, managed services, integration ecosystem, data processing capabilities, support and SLA options, and scalability features.

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Detailed Comparison

Confluent
Confluent
CloudKarafka
CloudKarafka

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

CloudKarafka automates every part of setup, running and scaling of Apache Kafka. CloudKarafka offers hosted publish-subscribe messaging systems in the cloud. With the ease of CloudKarafka you have a fully managed Kafka cluster up and running within two minutes, including a managed internal Zookeeper cluster on all nodes.

Reliable; High-performance stream data platform; Manage and organize data from different sources.
-
Statistics
Stacks
337
Stacks
2
Followers
239
Followers
22
Votes
14
Votes
0
Pros & Cons
Pros
  • 4
    Free for casual use
  • 3
    No hypercloud lock-in
  • 3
    Dashboard for kafka insight
  • 2
    Easily scalable
  • 2
    Zero devops
Cons
  • 1
    Proprietary
No community feedback yet
Integrations
Microsoft SharePoint
Microsoft SharePoint
Java
Java
Python
Python
Salesforce Sales Cloud
Salesforce Sales Cloud
Kafka Streams
Kafka Streams
Logentries
Logentries
Amazon CloudWatch
Amazon CloudWatch
Splunk Cloud
Splunk Cloud
PagerDuty
PagerDuty
Heroku
Heroku
Kafka
Kafka
Loggly
Loggly
Papertrail
Papertrail
Google Compute Engine
Google Compute Engine
VictorOps
VictorOps

What are some alternatives to Confluent, CloudKarafka?

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.

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.

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.

NSQ

NSQ

NSQ is a realtime distributed messaging platform designed to operate at scale, handling billions of messages per day. It promotes distributed and decentralized topologies without single points of failure, enabling fault tolerance and high availability coupled with a reliable message delivery guarantee. See features & guarantees.

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.

ZeroMQ

ZeroMQ

The 0MQ lightweight messaging kernel is a library which extends the standard socket interfaces with features traditionally provided by specialised messaging middleware products. 0MQ sockets provide an abstraction of asynchronous message queues, multiple messaging patterns, message filtering (subscriptions), seamless access to multiple transport protocols and more.

Apache NiFi

Apache NiFi

An easy to use, powerful, and reliable system to process and distribute data. It supports powerful and scalable directed graphs of data routing, transformation, and system mediation logic.

Gearman

Gearman

Gearman allows you to do work in parallel, to load balance processing, and to call functions between languages. It can be used in a variety of applications, from high-availability web sites to the transport of database replication events.

Memphis

Memphis

Highly scalable and effortless data streaming platform. Made to enable developers and data teams to collaborate and build real-time and streaming apps fast.

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