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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 Informatica Data Engineering Streaming?

Informatica's AI-enhanced Data Engineering Streaming revolutionizes the way data engineers can ingest, process, and analyze real-time streaming data, providing critical insights. The platform's sophisticated serverless deployment feature and built-in metering dashboard considerably alleviate the administrative workload. With the automation capabilities powered by CLAIRE®, users are able to quickly create intelligent data pipelines that incorporate functionalities such as automatic change data capture (CDC). This innovative solution supports the ingestion of a vast array of databases, millions of files, and countless streaming events. It proficiently manages these resources for both real-time data replication and streaming analytics, guaranteeing a continuous flow of information. Furthermore, it assists in discovering and cataloging all data assets across an organization, allowing users to intelligently prepare trustworthy data for advanced analytics and AI/ML projects. By optimizing these operations, organizations can tap into the full value of their data assets more efficiently than ever before, leading to enhanced decision-making capabilities and competitive advantages. This comprehensive approach to data management is transforming the landscape of data engineering and analytics.

Media

Media

Integrations Supported

Apache Spark
Azure Databricks
Elastic Cloud
MongoDB
Oracle Fusion Cloud ERP
Presto
PyTorch
SAP ERP
Snowflake
TensorFlow

Integrations Supported

Apache Spark
Azure Databricks
Elastic Cloud
MongoDB
Oracle Fusion Cloud ERP
Presto
PyTorch
SAP ERP
Snowflake
TensorFlow

API Availability

Has API

API Availability

Has API

Pricing Information

Free
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
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

Informatica

Company Location

United States

Company Website

www.informatica.com/products/big-data/big-data-streaming.html

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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