STRIIM FOR GOOGLE CLOUD SQL

Continuous, Real-Time Data Integration

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Real-time data pipelines for Google Cloud SQL

Available as a PaaS solution on the Google Cloud, Striim enables low-impact, real-time data ingestion from a wide range of on-premises and cloud-based system to Google Cloud SQL for MySQL and Google Cloud SQL for PostgreSQL.  Striim processes data-in-motion and delivers with sub-second latency. Striim supports enterprise databases, data warehouses, log files, messaging systems, sensors, NoSQL, and Hadoop solutions as sources.

GCP customers can use Striim to migrate their databases without downtime or data loss, and to offload their operational workloads to GCP with data available at the right time and in the right format.

WHY STRIIM FOR GOOGLE CLOUD SQL

Striim for Google Cloud SQL

Striim offers a secure, reliable, and scalable service for real-time ingestion, processing, and delivery of structured, semi-structured, and unstructured data into Google Cloud SQL databases. Striim ingests from database sources, including Oracle, SQL Server, HPE NonStop, PostgreSQL, and MySQL, Amazon RDS, and MongoDB, using non-intrusive, low-impact change data capture. Striim also supports major data warehouses,  such as Oracle Exadata and Teradata, and cloud solutions such as Salesforce, Amazon S3 as a source.

While the data is streaming, Striim filters, aggregates, transforms, masks, and enriches in-flight data using SQL-based continuous queries and UI-based operators before delivering to Cloud SQL. As a result, Cloud SQL contains up-to-date data in a consumable form for downstream users. With a template-based, drag-and-drop UI, Striim also enables fast time to deployment.

 

CONTINUOUS, REAL-TIME
CONTINUOUS, REAL-TIME
Stream data continuously and in the right format into Cloud SQL for MySQL and Cloud SQL for PostgreSQL
BROAD RANGE OF DATA SOURCES
BROAD RANGE OF DATA SOURCES
Ingest data from databases, data warehouses, log files, messaging, sensors, Hadoop, and NoSQL
EASY TO USE
EASY TO USE
Rapidly build and modify real-time data pipelines using a wizards-based UI and a SQL-based language
Use Case: Cloud Operational Reporting

STREAMING INTEGRATION TO CLOUD SQL FOR REPORTING

  • Run operational reporting in Cloud SQL by automating real-time data ingestion 
  • Report on transactional data without any impact on source databases
  • Integrate partial data sets for reporting avoiding batch inefficiencies
  • Process data-in-motion before delivery to Cloud SQL to store the data in the right format for operational decision making
  • Speed time-to-deployment via Striim’s wizards-based, drag-and-drop UI
  • Continuously monitor your data pipelines with real-time alerts

 

Striim for Google Cloud SQL


Real-Time Data Integration from Heterogeneous Databases Using Low-Impact CDC


In-Flight Filtering, Transformation, Masking, and Enrichment Before Delivery


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

See how streaming data integration can work for you.

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