HYBRID CLOUD INTEGRATION

Enable Real-Time Integration from On-Premises to Cloud and Back

CONTINUOUS DATA MOVEMENT AND PROCESSING FOR HYBRID CLOUD

While cloud environments bring agility and cost savings, working in hybrid cloud and multi-cloud environments creates new data siloes for IT teams to overcome. Striim enables fully-connected hybrid cloud environments via continuous real-time data movement and processing across on-prem data sources and a wide variety of cloud services on Microsoft Azure, AWS and Google Cloud platforms. With in-memory stream processing, Striim allows you to store only the data you need in the format you need. 

  • Offload operational workloads to cloud by moving data in real time and in the desired format
  • Easily adopt a multi-cloud architecture by seamlessly moving data across different cloud service providers: Azure, AWS, and Google Cloud
  • Filter, aggregate, transform, and enrich your data-in-motion before delivering to the cloud in order to optimize cloud storage
  • Migrate your data to the cloud without interrupting business operations
  • Minimize risk of cloud migrations with real-time, built-in cloud migration monitoring to avoid data divergence or data loss
  • Stream data in real time between cloud environments and back to on-premises systems

Quicklinks

WHY STRIIM FOR HYBRID CLOUD INTEGRATION

Hybrid Cloud Integration

Striim automates and simplifies streaming data pipelines for cloud environments. With its non-intrusive change data capture feature, it extracts real-time data without slowing down source transactional databases. In addition to enabling cloud migration with zero database downtime and zero data loss with real-time cloud migration monitoring, Striim feeds real-time data with full-context – ready for rich analytics on the cloud – by performing filtering, transformation, aggregation, and enrichment on data-in-motion.

Striim delivers real-time data to Microsoft Azure, Amazon, and Google Cloud. It can run on-premises or in Azure, AWS, and/or Google Cloud as a subscription-based service allowing a flexible data management architecture.

SET UP REAL-TIME DATA PIPELINES
SET UP REAL-TIME DATA PIPELINES
Easily extend your data center to cloud via simplified real-time data synchronization
GAIN OPERATIONAL VALUE
GAIN OPERATIONAL VALUE
Gain timely operational insights from cloud-based analytics using real-time data delivered in a consumable format
USE AN ENTERPRISE-GRADE SOLUTION
USE AN ENTERPRISE-GRADE SOLUTION
Move high-volume data to cloud with built-in delivery validation and monitor data pipeline health in real time
Customer Use Cases

A EUROPEAN COURIER EXPRESS PARCEL COMPANY

This leading courier company in Europe embarked on its cloud journey with the help of Striim. The company is moving its data warehousing and analytics solutions to the cloud, and uses Striim to move real-time data from transactional systems running on Oracle databases to Google BigQuery to enable cloud-based analytics. Google BigQuery serves as the operational data store supporting real-time reporting and ad-hoc queries. The company plans to use real-time transactional data for fleet optimization and real-time shipment status notifications to customers.

Hybrid Cloud Integration


Moved the operational data store (ODS) to the cloud by ensuring up-to-date transactional data is available in the cloud


Eliminated the performance impact of running ad-hoc queries on the production OLTP systems


Supports analytics users with timely data in a flexible and future-ready, cloud-based ODS and data warehouse solution

How Striim Works

STREAMING DATA INTEGRATION SIMPLIFIED

Striim continuously ingests real-time data from heterogeneous sources including transactional databases via non-intrusive CDC, log files, messaging systems, and IoT sensors. It performs filtering, transformation, aggregation, enrichment, and analytics on data-in-motion before delivering to cloud and other targets. Striim also offers real-time data pipeline monitoring and alerts via interactive dashboards.

Hybrid Cloud Integration


Real-Time Data Integration from Heterogeneous Data Sources to Cloud Environments and Other Targets


In-Flight Data Filtering, Aggregation, Transformation, Enrichment Before Delivery


SQL-Like Language, and Drag and Drop UI, to Easily Build and Modify Streaming Data Pipelines

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