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What is Pravega?

Contemporary distributed messaging systems like Kafka and Pulsar have set a solid foundation for a Pub/Sub model that meets the requirements of today's data-intensive applications. Pravega enhances this prevalent programming paradigm by delivering a cloud-native streaming architecture that extends its utility across a range of scenarios. It includes features that guarantee durability, consistency, and elasticity of streams, along with built-in support for long-term data retention. Pravega effectively tackles the architectural hurdles faced by earlier systems such as Kafka and Pulsar, including the automatic scaling of partitions while ensuring high performance, even with numerous partitions. Furthermore, Pravega broadens the scope of applications it can accommodate by skillfully handling both minor events typically found in IoT contexts and larger data sets pertinent to video processing and analytics. In addition to offering stream abstractions, Pravega enables efficient replication of application states and the management of key-value pair storage, making it a highly adaptable solution for developers. This adaptability not only allows users to construct intricate and robust data architectures but also encourages innovation by catering to unique requirements across various domains. Ultimately, Pravega positions itself as a forward-thinking option in the evolving landscape of data streaming technologies.

What is Azure Event Hubs?

Event Hubs is a comprehensive managed service designed for the ingestion of real-time data, prioritizing ease of use, dependability, and the ability to scale. It facilitates the streaming of millions of events each second from various sources, enabling the development of agile data pipelines that respond instantly to business challenges. During emergencies, its geo-disaster recovery and geo-replication features ensure continuous data processing. The service integrates seamlessly with other Azure solutions, providing valuable insights for users. Furthermore, existing Apache Kafka clients can connect to Event Hubs without altering their code, allowing a streamlined Kafka experience free from the complexities of cluster management. Users benefit from both real-time data ingestion and microbatching within a single stream, allowing them to focus on deriving insights rather than on infrastructure upkeep. By leveraging Event Hubs, organizations can build robust real-time big data pipelines, swiftly addressing business challenges and maintaining agility in an ever-evolving landscape. This adaptability is crucial for businesses aiming to thrive in today's competitive market.

Media

Media

Integrations Supported

5X
Abstract Security
Apache Kafka
Ascend
Azure Marketplace
Cogent DataHub
EMnify
Edge Delta
EmailSuccess
Evvox
LOGIQ
New Relic
Observo AI
Onum
PeerDB
PubSub+ Platform
Pulsar
Rocket Data Replicate & Sync
Samza
Sclera

Integrations Supported

5X
Abstract Security
Apache Kafka
Ascend
Azure Marketplace
Cogent DataHub
EMnify
Edge Delta
EmailSuccess
Evvox
LOGIQ
New Relic
Observo AI
Onum
PeerDB
PubSub+ Platform
Pulsar
Rocket Data Replicate & Sync
Samza
Sclera

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

$0.03 per hour
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Pravega

Date Founded

2017

Company Location

United States

Company Website

pravega.io

Company Facts

Organization Name

Microsoft

Date Founded

1975

Company Location

United States

Company Website

azure.microsoft.com/en-us/services/event-hubs/

Categories and Features

Cloud Storage

Access Control
Archiving & Retention
Backup
Data Migration
Data Synchronization
Encryption
File Sharing
Version Control

Categories and Features

Streaming Analytics

Data Enrichment
Data Wrangling / Data Prep
Multiple Data Source Support
Process Automation
Real-time Analysis / Reporting
Visualization Dashboards

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