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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.

Description

Oversee and protect the entire data lifecycle from the Edge to AI across any cloud platform or data center. Functions seamlessly within all leading public cloud services as well as private clouds, providing a uniform public cloud experience universally. Unifies data management and analytical processes throughout the data lifecycle, enabling access to data from any location. Ensures the implementation of security measures, regulatory compliance, migration strategies, and metadata management in every environment. With a focus on open source, adaptable integrations, and compatibility with various data storage and computing systems, it enhances the accessibility of self-service analytics. This enables users to engage in integrated, multifunctional analytics on well-managed and protected business data, while ensuring a consistent experience across on-premises, hybrid, and multi-cloud settings. Benefit from standardized data security, governance, lineage tracking, and control, all while delivering the robust and user-friendly cloud analytics solutions that business users need, effectively reducing the reliance on unauthorized IT solutions. Additionally, these capabilities foster a collaborative environment where data-driven decision-making is streamlined and more efficient.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Acceldata Yes 
Ataccama ONE Yes 
BigBI Yes 
Cleo Integration Cloud Yes 
GigaSpaces Yes 
IBM InfoSphere Information Server Yes 
IBM watsonx.data Yes 
IRI DarkShield Yes 
IRI Voracity Yes 
Lenses Yes 
Precisely Connect Yes 
Querona Yes 
Wallaroo.AI Yes 
witboost Yes 
Cloudera Data Visualization No 
Data Virtuality No 
Elestio Yes 
IBM Db2 Big SQL No 
IRI DMaaS No 
Pandora FMS Yes 

Integrations

Acceldata Yes 
Ataccama ONE Yes 
BigBI Yes 
Cleo Integration Cloud Yes 
GigaSpaces Yes 
IBM InfoSphere Information Server Yes 
IBM watsonx.data Yes 
IRI DarkShield Yes 
IRI Voracity Yes 
Lenses Yes 
Precisely Connect Yes 
Querona Yes 
Wallaroo.AI Yes 
witboost Yes 
Cloudera Data Visualization Yes 
Data Virtuality Yes 
Elestio No 
IBM Db2 Big SQL Yes 
IRI DMaaS Yes 
Pandora FMS No 

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 No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook 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 

Customer Support

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

Customer Support

Business Hours Yes 
Live Rep (24/7) Yes 
Online Support Yes 

Types of Training

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

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person Yes 

Vendor Details

Company Name

The Apache Software Foundation

Founded

1999

Country

United States

Website

kafka.apache.org

Vendor Details

Company Name

Cloudera

Founded

2008

Country

United States

Website

www.cloudera.com

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 

Product Features

Big Data

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

Business Intelligence

Ad Hoc Reports No 
Benchmarking No 
Budgeting & Forecasting No 
Dashboard No 
Data Analysis Yes 
Key Performance Indicators No 
Natural Language Generation (NLG) No 
Performance Metrics No 
Predictive Analytics Yes 
Profitability Analysis No 
Strategic Planning No 
Trend / Problem Indicators No 
Visual Analytics No 

Data Management

Customer Data No 
Data Analysis No 
Data Capture No 
Data Integration No 
Data Migration No 
Data Quality Control No 
Data Security No 
Information Governance No 
Master Data Management No 
Match & Merge No 

Data Science

Access Control No 
Advanced Modeling No 
Audit Logs No 
Data Discovery No 
Data Ingestion No 
Data Preparation No 
Data Visualization No 
Model Deployment No 
Reports No 

Data Warehouse

Ad hoc Query No 
Analytics No 
Data Integration No 
Data Migration No 
Data Quality Control No 
ETL - Extract / Transfer / Load No 
In-Memory Processing No 
Match & Merge No 

Machine Learning

Deep Learning No 
ML Algorithm Library No 
Model Training No 
Natural Language Processing (NLP) No 
Predictive Modeling No 
Statistical / Mathematical Tools No 
Templates No 
Visualization No 

Alternatives

Alternatives

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Amazon EMR

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