STRIIM FOR GOOGLE CLOUD PLATFORM

Continuous, Real-Time Data Movement

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Move data to Google Cloud Platform in real time from a wide variety of data sources

Google BigQuery

Google Cloud SQL

Running on the Google Cloud as a PaaS solution, the Striim platform offers non-intrusive, real-time data ingestion from databases (including Oracle, SQL Server, HPE NonStop, and MySQL), data warehouses (such as Oracle Exadata and Teradata), Salesforce, Amazon S3, log files, messaging systems, sensors, and Hadoop solutions to Google BigQuery, Google Cloud Spanner, Google Cloud SQL for MySQL, Google Cloud SQL for PostgreSQL, Google Cloud Pub/Sub, and Google Cloud Storage, with in-flight transformations and enrichments.

By continuously delivering real-time data to Google Cloud, Striim helps businesses migrate their systems to Google Cloud without downtime or data loss, and seamlessly offload operational and analytics workloads to cloud.

WHY STRIIM FOR GOOGLE CLOUD PLATFORM

Striim for Google Cloud Platform

 

Striim offers an enterprise-grade software platform for real-time collection, preparation, and movement of unstructured, semi-structured, and structured data into Google Cloud. For real-time data ingestion from enterprise databases, Striim uses low-impact change data capture (CDC) to avoid any modification or performance impact on source production systems. With wizards-based, drag-and-drop UI Striim simplifies setting up continuous data flow into Google Cloud.

Striim’s heterogeneous replication capability enables Google Cloud customers to seamlessly migrate to Cloud SQL from existing on-premises or cloud-based databases without database downtime or data loss.

 

 

 

CONTINUOUS, REAL-TIME
CONTINUOUS, REAL-TIME
Non-stop data flow in real-time and in the right format
NON-INTRUSIVE
NON-INTRUSIVE
Ingest real-time data without impacting sources
BUILT-IN TRANSFORMATIONS
BUILT-IN TRANSFORMATIONS
Denormalize data-in-motion to reduce latency for operational workloads
USE CASE

RUN OPERATIONAL DATA WAREHOUSE AND OFFLOAD REPORTING

  • Modernize your data integration to gain more operational value from your cloud environment
  • Set up real-time data pipelines to create an operational data store within Google BigQuery or Cloud SQL to offload operational reporting
  • Perform in-line transformations, including denormalization, using SQL-based language and a drag-and-drop UI
  • Feed real-time data to Cloud SQL to support operational applications
  • Avoid batch ETL related inefficiencies using non-intrusive CDC combined with in-flight data processing

 

Striim for Google Cloud Platform

See how streaming data integration can work for you.

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