Top 15 Kafka Alternatives Popular In 2021

1

Apache Kafka

Red Hat AMQ is a powerful suite of components that depend upon communities like Apache Kafka and Apache ActiveMQ to offer a secure and lightweight solution. It is fast in execution and is a flexible messaging tool through which instant delivery of information can be done. It offers a quick response to organizational needs and integrates apps seamlessly across the enterprise.

#Stream Processing #Data Integration #ETL 119 social mentions

2

Apache Spark

Apache Spark is a well-known, general-purpose, open-source analytics engine for large-scale, core data processing. It is known for its high-performance quality for data processing – batch and streaming with the help of its DAG scheduler, query optimizer, and engine. Data streams are processed in real-time and hence it is quite fast and efficient. Its machine learning competencies are also quite accurate.

#Databases #Big Data #Big Data Analytics 55 social mentions

3

RabbitMQ

RabbitMQ offers distributed deployment across varied regions and availability zones. Since it is light weighted, it can easily be deployed across private and public clouds. It has a flexible plug-in approach and a variety of tools to support continuous integration and operational metrics. Since it is written in Erlang, which is quick and concurrent, RabbitMQ leverages the goodness of the same.

#Data Integration #Web Service Automation #Stream Processing 1 social mentions

4

Apache ActiveMQ

Apache ActiveMQ is a popular, open-source, flexible multi-protocol messaging broker. Since it has great support for industry-based protocols, developers get access to languages and platforms. It helps in connecting clients written in languages like Python, C, C++, JavaScript, etc. With the help of the AMQP protocol, integration with many applications with different platforms is easily done. It provides the capability to support any kind of messaging use-case.

#Data Integration #Stream Processing #Inventory Management 5 social mentions

5

Amazon Kinesis

Amazon Kinesis, also known as Kinesis Streams, is a popular alternative to Kafka, for collecting, processing, and analyzing video and data streams in real-time. It offers timely and insightful information, streaming data in a cost-effective manner with complete flexibility and scalability. It is easy to ingest data encompassing audios, videos, app logs, etc. It offers an instant response to data that arrives and hence is fast and effective.

#Stream Processing #Data Management #Analytics 21 social mentions

6

Red Hat AMQ

Red Hat AMQ is a powerful suite of components that depend upon communities like Apache Kafka and Apache ActiveMQ to offer a secure and lightweight solution. It is fast in execution and is a flexible messaging tool through which instant delivery of information can be done. It offers a quick response to organizational needs and integrates apps seamlessly across the enterprise.

#Communication #Online Services #Web Service Automation

7

Apache Storm

Apache Storm is a recognized, distributed, open-source real-time computational system. It is free, simple to use, and helps in easily and accurately processing multiple data streams in real-time. Because of its simplicity, it can be utilized with any programming language and that is one reason it is a developer’s preferred choice. It is fast, scalable, and integrates well with other queuing technologies.

#Big Data #Stream Processing #Data Management 11 social mentions

8

Amazon SQS

Amazon SQS (Simple Queue Service) is a fully managed, message queuing service for distributed systems, serverless applications, and microservices. It is known for the dissociation of components and the creation of effective asynchronous processes. It possesses a good SKD and a useful console. Because of its salient features, it is easy to use and hence favored by developers.

#Data Integration #Stream Processing #Web Service Automation 64 social mentions

9

IBM MQ

IBM MQ is an easily usable interface with a great deal of reliability and security. Support is readily available in case needed anytime. It looks at handling the interoperability between various applications, be it within the organization or outside. It has asynchronous competencies and offers message integrity and relentless delivery. Because of its simplistic nature, it allows developers to focus on critical issues and easily manages any changes in transaction volumes.

#Cloud Computing #Data Integration #Stream Processing

10

Sentry.io

The best part of Sentry is that it identifies errors before they occur, offering the least downtime. It thereby enhances the performance monitoring of applications through stack traces. The entire trace can be viewed to spot out the exact APIs that aren’t performing well. There is distrusted tracing that can help monitor the complicated needs of full-stack applications.

#Error Tracking #Exception Monitoring #Monitoring Tools 53 social mentions

11

Redis

Redis is a known, open-source, in-memory data structure store that offers different data structures like lists, strings, hashes, sets, bitmaps, streams, geospatial indexes, etc. It is best utilized as a cache, memory broker, and cache. It has optional durability and inbuilt replication potential. It offers a great deal of availability through Redis Sentinel and Redis Cluster.

#Key-Value Database #NoSQL Databases #Databases 178 social mentions

12

Apache Flume

#Big Data #Databases #Machine Data Analytics 1 social mentions

13

Fluentd

Inputs and outputs have inbuilt support to buffer, load balance, timeout and retry instances. It has a unified logging layer in between the data sources. There are over 5000+ companies that rely on Fluentd and approximately collect logs from over 50000+ servers. It scraps logs from sources and sends them across to services like object storage, Elasticsearch, etc. it is flexible and integrable with hundreds of analytical services and log storage.

#Monitoring Tools #Security & Privacy #Log Management

14

Akka

There are products like Akka Serverless and Akka Platform by Lightbend that can support business-driven applications. Akka is more of a set of libraries to design resilient systems spanning across networks. It helps developers in saving time over writing low-level code and instead, makes them focus on aligning to business objectives.

#Monitoring Tools #Web And Application Servers #Data Integration 21 social mentions

15

Workato

Workato is an intelligent, popular automation platform that is utilized by business people and IT staff. It has been a leader in Gartner’s quotient and services as an integration platform that can be easily availed by all users, alike, be it any size or any segment. It helps teams to process enterprise-grade integration and process automation with the help of AI and ML technologies.

#Web Service Automation #Data Integration #API Tools

16

Appmixer

Users can spend more time improving their products rather than customizing integrations, which is rather done well by Appmixer. It offers SaaS users an embedded iPaaS with a visual workflow, making them retain users at their best. It lets you solve client issues and satisfy their demands. It has a drag and drop UI with SDK that can offer seamless integration of data sources and the creation of workflows barring code writing.

#Integrations Platform As A Service #Workflow Automation #Web Service Automation

17

Apache Flink

#Stream Processing #Big Data #Developer Tools 26 social mentions

18

Google Cloud Pub/Sub

#Data Integration #Stream Processing #Web Service Automation 15 social mentions

19

KubeMQ

#Data Integration #Web Service Automation #Stream Processing 1 social mentions

20

tray.io

#Web Service Automation #Automation #Data Integration 15 social mentions

21

StreamSets

#DevOps Tools #Continuous Integration And Delivery #Developer Tools 2 social mentions

22

HVR

#Monitoring Tools #Web Service Automation #MySQL Tools

24

Apache Airflow

#Workflow #Workflow Automation #Data Pipelines 65 social mentions

25

NServiceBus

#Data Integration #ETL #Web Service Automation