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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
Harness the capabilities of both private and public clouds through a unique hybrid data platform tailored for contemporary data architectures, enabling data access from any location.
Cloudera stands out as a hybrid data platform that offers unparalleled flexibility, allowing users to choose any cloud, any analytics solution, and any type of data. It streamlines data management and analytics, ensuring optimal performance, scalability, and security for data accessibility from anywhere. By leveraging Cloudera, organizations can benefit from the strengths of both private and public clouds, leading to quicker value realization and enhanced control over IT resources.
Moreover, Cloudera empowers users to securely transfer data, applications, and individuals in both directions between their data center and various cloud environments, irrespective of the data's physical location. This bi-directional capability not only enhances operational efficiency but also fosters a more adaptable and responsive data strategy.
API Access
Has API
No
API Access
Has API
No
Integrations
Azure Marketplace
Yes
Querona
Yes
APERIO DataWise
Yes
Amazon MSK
Yes
Arroyo
Yes
BDB Platform
Yes
Causal
Yes
DoubleCloud
Yes
Everyware Software Framework (ESF)
Yes
Inferyx
Yes
Integrations
Azure Marketplace
Yes
Querona
Yes
APERIO DataWise
No
Amazon MSK
No
Arroyo
No
BDB Platform
No
Causal
No
DoubleCloud
No
Everyware Software Framework (ESF)
No
Inferyx
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
Yes
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
Yes
Mac
Yes
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)
No
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/products/cloudera-data-platform.html
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
Data Analysis
Data Discovery
Yes
Data Visualization
Yes
High Volume Processing
No
Predictive Analytics
No
Regression Analysis
No
Sentiment Analysis
No
Statistical Modeling
No
Text Analytics
No
Data Management
Customer Data
Yes
Data Analysis
No
Data Capture
Yes
Data Integration
No
Data Migration
No
Data Quality Control
No
Data Security
No
Information Governance
No
Master Data Management
No
Match & Merge
No
Data Management Platforms (DMP)
Ad Network Integration
No
Analytics / ROI Tracking
No
Audience Targeting
Yes
Behavioral Analytics
No
CRM
No
Campaign Management
Yes
Competitive Analysis
No
Customer Journey Mapping
Yes
Data Capture / Transfer
Yes
Data Classification
No
Data Visualization
Yes
