Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Average Ratings 1 Rating

Total
ease
features
design
support

Description

Amazon EMR stands as the leading cloud-based big data solution for handling extensive datasets through popular open-source frameworks like Apache Spark, Apache Hive, Apache HBase, Apache Flink, Apache Hudi, and Presto. This platform enables you to conduct Petabyte-scale analyses at a cost that is less than half of traditional on-premises systems and delivers performance more than three times faster than typical Apache Spark operations. For short-duration tasks, you have the flexibility to quickly launch and terminate clusters, incurring charges only for the seconds the instances are active. In contrast, for extended workloads, you can establish highly available clusters that automatically adapt to fluctuating demand. Additionally, if you already utilize open-source technologies like Apache Spark and Apache Hive on-premises, you can seamlessly operate EMR clusters on AWS Outposts. Furthermore, you can leverage open-source machine learning libraries such as Apache Spark MLlib, TensorFlow, and Apache MXNet for data analysis. Integrating with Amazon SageMaker Studio allows for efficient large-scale model training, comprehensive analysis, and detailed reporting, enhancing your data processing capabilities even further. This robust infrastructure is ideal for organizations seeking to maximize efficiency while minimizing costs in their data operations.

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

Ataccama ONE Yes 
Feast Yes 
Lyftrondata Yes 
New Relic Yes 
Tecton Yes 
AWS Step Functions Yes 
Circonus IRONdb No 
Edge Delta No 
FairCom EDGE No 
IBM watsonx.data No 
IRI DarkShield No 
LogMan.io No 
Okera Yes 
QuestDB No 
Sirius No 
The GlobalSolutions No 
Unravel Yes 
Vert.x No 
WarpStream No 
Xitoring No 

Integrations

Ataccama ONE Yes 
Feast Yes 
Lyftrondata Yes 
New Relic Yes 
Tecton Yes 
AWS Step Functions No 
Circonus IRONdb Yes 
Edge Delta Yes 
FairCom EDGE Yes 
IBM watsonx.data Yes 
IRI DarkShield Yes 
LogMan.io Yes 
Okera No 
QuestDB Yes 
Sirius Yes 
The GlobalSolutions Yes 
Unravel No 
Vert.x Yes 
WarpStream Yes 
Xitoring Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises Yes 
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 No 
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/emr/

Vendor Details

Company Name

The Apache Software Foundation

Founded

1999

Country

United States

Website

kafka.apache.org

Product Features

Big Data

Collaboration No 
Data Blends No 
Data Cleansing No 
Data Mining No 
Data Visualization No 
Data Warehousing No 
High Volume Processing No 
No-Code Sandbox No 
Predictive Analytics No 
Templates 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 

Alternatives

Alternatives

AWS Glue Reviews

AWS Glue

Amazon
E-MapReduce Reviews

E-MapReduce

Alibaba
Apache Spark Reviews

Apache Spark

Apache Software Foundation