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What is HStreamDB?

A streaming database is purpose-built to efficiently process, store, ingest, and analyze substantial volumes of incoming data streams. This sophisticated data architecture combines messaging, stream processing, and storage capabilities to facilitate real-time data value extraction. It adeptly manages the continuous influx of vast data generated from various sources, including IoT device sensors. Dedicated distributed storage clusters securely retain data streams, capable of handling millions of individual streams effortlessly. By subscribing to specific topics in HStreamDB, users can engage with data streams in real-time at speeds that rival Kafka's performance. Additionally, the system supports the long-term storage of data streams, allowing users to revisit and analyze them at any time as needed. Utilizing a familiar SQL syntax, users can process these streams based on event-time, much like querying data in a conventional relational database. This powerful functionality allows for seamless filtering, transformation, aggregation, and even joining of multiple streams, significantly enhancing the overall data analysis process. With these integrated features, organizations can effectively harness their data, leading to informed decision-making and timely responses to emerging situations. By leveraging such robust tools, businesses can stay competitive in an increasingly data-driven landscape.

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

Apache Spark
Elastic Cloud
MongoDB
Oracle Fusion Cloud ERP
PyTorch
Snowflake
TensorFlow

Integrations Supported

5X
Abstract Security
Azure Marketplace
Cogent DataHub
Edge Delta
LOGIQ
New Relic
Observo AI
Onum
PubSub+ Platform
Rocket Data Replicate & Sync
Samza
Sclera

API Availability

API Availability

Pricing Information

Free
Free Version

Pricing Information

$0.03 per hour

Supported Platforms

Windows
Mac
Linux

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

EMQ

Date Founded

2013

Company Location

United States

Company Website

hstream.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

Database

Not specified

Categories and Features

Data Pipeline

Not specified

Event Brokers

Not specified

Streaming Analytics

Not specified

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