CLOUD INTEGRATION AND ANALYTICS

Boost Your Hybrid Cloud Solution with Up-to-Date Data

AUTOMATE REAL-TIME DATA PIPELINES

While cloud environments bring agility and cost savings, working in hybrid cloud environments creates new data siloes for IT teams to overcome. Striim enables fully-connected hybrid cloud environments via continuous real-time data feed and processing between on-premise data sources and cloud environments. With Striim you store only the data you need in the format you need, and gain immediate insights from high-velocity data via built-in stream analytics.

  • Migrate your data to the cloud without interrupting business operations
  • Become a connected and responsive business by ensuring that your data in the cloud is consistent with on-premises systems
  • Move data in real time between cloud environments and back to on-premises systems
  • Enhance your cloud-based analytics solutions with real-time data for operational insights
  • Filter, aggregate, transform, and enrich your data-in-motion before delivering to cloud to optimize cloud storage
  • Run streaming analytics in the cloud to gain critical insights immediately from IoT and other high-velocity data

Quicklinks

WHY STRIIM FOR HYBRID CLOUD INTEGRATION AND ANALYTICS

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 minimized risk, Striim feeds real-time data with full-context – ready for rich analytics – 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 the Azure Cloud, AWS, or Google Cloud as a subscription-based service allowing a flexible data management architecture.

EASILY SET UP REAL-TIME DATA PIPELINES
Extend your data center to cloud via simplified real-time data synchronization from on-premises data sources to cloud.
MAKE CLOUD-BASED ANALYTICS RICHER AND EASIER
Work with pre-processed, enriched, up-to-date data to gain operational insights faster and with greater meaning.
MAXIMIZE THE VALUE OF HIGH-VELOCITY DATA
Capture the perishable insights before storing your data in the cloud, and act on urgent insights automatically.
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.


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

END-TO-END REAL-TIME DATA INTEGRATION AND ANALYTICS

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 visualization and alerts via interactive dashboards.


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


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


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

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