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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
Ascend
Azure Marketplace
Cogent DataHub
EMnify
Edge Delta
Evvox
MongoDB
New Relic
Onum
Oracle Fusion Cloud ERP
PeerDB
Presto
PyTorch
Rocket Data Replicate & Sync
SAP ERP
Sclera
Snowflake
TensorFlow
TriggerMesh

Integrations Supported

Apache Spark
Ascend
Azure Marketplace
Cogent DataHub
EMnify
Edge Delta
Evvox
MongoDB
New Relic
Onum
Oracle Fusion Cloud ERP
PeerDB
Presto
PyTorch
Rocket Data Replicate & Sync
SAP ERP
Sclera
Snowflake
TensorFlow
TriggerMesh

API Availability

Has API

API Availability

Has API

Pricing Information

Free
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

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

Backup and Recovery
Creation / Development
Data Migration
Data Replication
Data Search
Data Security
Database Conversion
Mobile Access
Monitoring
NOSQL
Performance Analysis
Queries
Relational Interface
Virtualization

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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