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What is Striim?

Data integration for hybrid cloud environments ensures efficient and dependable synchronization between your private and public cloud infrastructures. This process occurs in real-time and employs change data capture along with streaming capabilities. Striim, created by a seasoned team from GoldenGate Software, boasts extensive expertise in managing essential enterprise tasks. It can be deployed as a distributed platform within your infrastructure or hosted entirely in the cloud. The scalability of Striim can be easily modified to meet your team's requirements. It adheres to stringent security standards, including HIPAA and GDPR compliance, ensuring data protection. Designed from its inception to cater to contemporary enterprise demands, Striim effectively handles workloads whether they reside on-premise or in the cloud. Users can effortlessly create data flows between various sources and targets using a simple drag-and-drop interface. Additionally, real-time SQL queries empower you to process, enrich, and analyze streaming data seamlessly, enhancing your operational efficiency. This flexibility fosters a more responsive approach to data management across diverse platforms.

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

Amazon Web Services (AWS)
Apache Kafka
Google Cloud Platform
Google Cloud Pub/Sub
HPE Consumption Analytics
Microsoft Azure
Orchestra
PostgreSQL
Snowflake

Integrations Supported

Ascend
EMnify
Edge Delta
Evvox
New Relic
Observo AI
Onum
PeerDB
Samza
Sclera
TriggerMesh

API Availability

API Availability

Pricing Information

Pricing not provided
Free Trial Offered?

Pricing Information

$0.03 per hour

Supported Platforms

SaaS
Windows
Mac
On-Prem

Supported Platforms

SaaS

Customer Service / Support

24 Hour Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub

Company Facts

Organization Name

Striim

Date Founded

2012

Company Location

United States

Company Website

striim.com

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

Big Data

Data Blends
Data Visualization
High Volume Processing
No-Code Sandbox
Predictive Analytics

Business Intelligence

Not specified

Cloud Management

Not specified

Data Extraction

Disparate Data Collection
Email Address Extraction
IP Address Extraction
Phone Number Extraction
Pricing Extraction
Web Data Extraction

Data Integration

Not specified

Data Management

Not specified

Data Replication

Not specified

Data Visualization

Analytics
Dashboard Creation
Filtered Views
Visual Discovery

Integration

Dashboard
ETL - Extract / Transform / Load
Metadata Management
Multiple Data Sources
Web Services

Predictive Analytics

Data Blending
Demand Forecasting
For Education
For Healthcare

Streaming Analytics

Not specified

Categories and Features

Data Pipeline

Not specified

Event Brokers

Not specified

Streaming Analytics

Not specified

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