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Description

Amazon Managed Streaming for Apache Kafka (Amazon MSK) simplifies the process of creating and operating applications that leverage Apache Kafka for handling streaming data. As an open-source framework, Apache Kafka enables the construction of real-time data pipelines and applications. Utilizing Amazon MSK allows you to harness the native APIs of Apache Kafka for various tasks, such as populating data lakes, facilitating data exchange between databases, and fueling machine learning and analytical solutions. However, managing Apache Kafka clusters independently can be quite complex, requiring tasks like server provisioning, manual configuration, and handling server failures. Additionally, you must orchestrate updates and patches, design the cluster to ensure high availability, secure and durably store data, establish monitoring systems, and strategically plan for scaling to accommodate fluctuating workloads. By utilizing Amazon MSK, you can alleviate many of these burdens and focus more on developing your applications rather than managing the underlying infrastructure.

Description

Apache Kafka® is a robust, open-source platform designed for distributed streaming. It can scale production environments to accommodate up to a thousand brokers, handling trillions of messages daily and managing petabytes of data with hundreds of thousands of partitions. The system allows for elastic growth and reduction of both storage and processing capabilities. Furthermore, it enables efficient cluster expansion across availability zones or facilitates the interconnection of distinct clusters across various geographic locations. Users can process event streams through features such as joins, aggregations, filters, transformations, and more, all while utilizing event-time and exactly-once processing guarantees. Kafka's built-in Connect interface seamlessly integrates with a wide range of event sources and sinks, including Postgres, JMS, Elasticsearch, AWS S3, among others. Additionally, developers can read, write, and manipulate event streams using a diverse selection of programming languages, enhancing the platform's versatility and accessibility. This extensive support for various integrations and programming environments makes Kafka a powerful tool for modern data architectures.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

5X Yes 
Lenses Yes 
New Relic Yes 
Onehouse Yes 
Tenzir Yes 
Waterstream Yes 
kPow Yes 
5GSoftware No 
Azure Spring Apps No 
Causal No 
Elastic Observability No 
FairCom DB No 
Flowls No 
Netdata No 
Oracle AI Data Platform (AIDP) No 
Pathway No 
PeerDB No 
Precisely Connect No 
Splunk SOAR No 
Streamkap No 

Integrations

5X Yes 
Lenses Yes 
New Relic Yes 
Onehouse Yes 
Tenzir Yes 
Waterstream Yes 
kPow Yes 
5GSoftware Yes 
Azure Spring Apps Yes 
Causal Yes 
Elastic Observability Yes 
FairCom DB Yes 
Flowls Yes 
Netdata Yes 
Oracle AI Data Platform (AIDP) Yes 
Pathway Yes 
PeerDB Yes 
Precisely Connect Yes 
Splunk SOAR Yes 
Streamkap Yes 

Pricing Details

$0.0543 per hour
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support No 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Amazon

Founded

1994

Country

United States

Website

aws.amazon.com/msk/

Vendor Details

Company Name

The Apache Software Foundation

Founded

1999

Country

United States

Website

kafka.apache.org

Product Features

Streaming Analytics

Data Enrichment No 
Data Wrangling / Data Prep No 
Multiple Data Source Support No 
Process Automation No 
Real-time Analysis / Reporting No 
Visualization Dashboards No 

Product Features

iPaaS

AI / Machine Learning No 
Cloud Data Integration No 
Dashboard No 
Data Quality Control No 
Data Security No 
Drag & Drop No 
Embedded iPaaS No 
Integration Management No 
Pre-Built Connectors No 
White Label No 
Workflow Management No 

Message Queue

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

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