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What is Apache Kafka?

Apache Kafka® is a powerful, open-source solution tailored for distributed streaming applications. It supports the expansion of production clusters to include up to a thousand brokers, enabling the management of trillions of messages each day and overseeing petabytes of data spread over hundreds of thousands of partitions. The architecture offers the capability to effortlessly scale storage and processing resources according to demand. Clusters can be extended across multiple availability zones or interconnected across various geographical locations, ensuring resilience and flexibility. Users can manipulate streams of events through diverse operations such as joins, aggregations, filters, and transformations, all while benefiting from event-time and exactly-once processing assurances. Kafka also includes a Connect interface that facilitates seamless integration with a wide array of event sources and sinks, including but not limited to Postgres, JMS, Elasticsearch, and AWS S3. Furthermore, it allows for the reading, writing, and processing of event streams using numerous programming languages, catering to a broad spectrum of development requirements. This adaptability, combined with its scalability, solidifies Kafka's position as a premier choice for organizations aiming to leverage real-time data streams efficiently. With its extensive ecosystem and community support, Kafka continues to evolve, addressing the needs of modern data-driven enterprises.

What is Amazon MQ?

Amazon MQ is a managed message broker service in the cloud, specifically tailored for Apache ActiveMQ, which streamlines the setup and management of message brokers. It allows for smooth communication and data sharing between diverse software systems that may run on various platforms and employ different programming languages. By taking care of the provisioning, configuration, and continuous upkeep of ActiveMQ, Amazon MQ significantly reduces the operational workload for users. The service integrates seamlessly with existing applications by utilizing commonly accepted APIs and messaging protocols, including JMS, NMS, AMQP, STOMP, MQTT, and WebSocket. This commitment to industry standards generally facilitates an easy transition to AWS without needing significant changes to current messaging code. Users can quickly provision their message broker through a few clicks in the Amazon MQ Console, gaining access to version updates and ensuring they always use the latest version supported by Amazon MQ. Once the broker is set up, applications are primed to efficiently produce and consume messages as necessary, fostering a strong messaging environment. The combination of user-friendliness and high efficiency makes Amazon MQ an attractive option for organizations aiming to bolster their messaging capabilities in the cloud. Moreover, the flexibility and reliability of the service empower businesses to focus more on innovation and less on infrastructure management.

Media

Media

Integrations Supported

New Relic
Baidu Palo
Cerberus Testing
DataSet
Datasaur
E-MapReduce
Edge Delta
Foundational
Heroic
Intel Tiber AI Studio
Lyftrondata
MatchX
Nucleon Database Master
ObserveNow
PeerDB
RudderStack
Salesforce Data Cloud
Speedb
TiMi
Vert.x

Integrations Supported

New Relic
Baidu Palo
Cerberus Testing
DataSet
Datasaur
E-MapReduce
Edge Delta
Foundational
Heroic
Intel Tiber AI Studio
Lyftrondata
MatchX
Nucleon Database Master
ObserveNow
PeerDB
RudderStack
Salesforce Data Cloud
Speedb
TiMi
Vert.x

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

The Apache Software Foundation

Date Founded

1999

Company Location

United States

Company Website

kafka.apache.org

Company Facts

Organization Name

Amazon

Date Founded

1994

Company Location

United States

Company Website

aws.amazon.com/amazon-mq/

Categories and Features

iPaaS

AI / Machine Learning
Cloud Data Integration
Dashboard
Data Quality Control
Data Security
Drag & Drop
Embedded iPaaS
Integration Management
Pre-Built Connectors
White Label
Workflow Management

Message Queue

Asynchronous Communications Protocol
Data Error Reduction
Message Encryption
On-Premise Installation
Roles / Permissions
Storage / Retrieval / Deletion
System Decoupling

Categories and Features

Message Queue

Asynchronous Communications Protocol
Data Error Reduction
Message Encryption
On-Premise Installation
Roles / Permissions
Storage / Retrieval / Deletion
System Decoupling

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