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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
Google Cloud's Eventarc is a comprehensive, managed solution that empowers developers to establish event-driven architectures by channeling events from multiple sources to designated endpoints. It captures events generated within a system and forwards them to chosen destinations, promoting the development of loosely connected services that respond aptly to changes in state. Supporting events from a range of Google Cloud services, bespoke applications, and external SaaS providers, Eventarc offers significant versatility in designing event-driven applications. Developers have the capability to set up triggers that direct events to various endpoints, such as Cloud Run services, which enhances the responsiveness and scalability of application structures. Furthermore, Eventarc guarantees secure event transmission by incorporating Identity and Access Management (IAM), which facilitates meticulous access control over the processes of event ingestion and handling. This robust security feature ensures that only authorized users can manage events, thereby maintaining the integrity and confidentiality of the data involved.
API Access
Has API
No
API Access
Has API
Yes
Integrations
3forge
Yes
Acryl Data
Yes
Altinity
Yes
DoubleCloud
Yes
IronCore Labs
Yes
Last9
Yes
Lenses
Yes
Lightbits
Yes
Parasoft
Yes
Rawcubes
Yes
Integrations
3forge
No
Acryl Data
No
Altinity
No
DoubleCloud
No
IronCore Labs
No
Last9
No
Lenses
No
Lightbits
No
Parasoft
No
Rawcubes
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
No
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)
No
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
Founded
1998
Country
United States
Website
cloud.google.com/eventarc/docs
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