STRIIM FOR AZURE DATABASE FOR MYSQL

Real-Time Data Pipelines from On-Premises and Cloud

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Move real-time data to Azure Database for MySQL

Striim simplifies building real-time data pipelines from a wide variety of on-premises sources, including enterprise databases, log files, messaging systems, sensors, NoSQL and Hadoop solutions into Azure Database for MySQL.

When ingesting real-time data from databases (including Oracle, SQL Server, HPE NonStop, MySQL, PostgreSQL, MongoDB, Amazon RDS for Oracle, Amazon RDS for MySQL), Striim uses non-intrusive, low-impact change data capture. Before loading Azure Database for MySQL with sub-second latency, Striim processes the data-in-flight so downstream operations, such as reporting, analytical, and transactional systems, receive the data in the right format and with full context.

 

WHY STRIIM FOR AZURE DATABASE SERVICES FOR MYSQL

Striim for Azure Database for MySQL

Striim’s software platform is built from ground up for high-volume, high-velocity data environments and mission-critical applications. Running in the cloud, on-premises, or in a hybrid topology, Striim offers a secure, scalable and reliable service for real-time data ingestion, stream processing, and delivery to Azure Database for MySQL.

To raise productivity, minimize latency, and reduce on-premises ETL efforts, Striim enables filtering, transformation, aggregation, masking, and enrichment for data in motion. Striim allows moving partial data sets for reporting use cases and helps avoid batch movement inefficiencies.

With Striim, Azure customers can set up automated, real-time data pipelines to Azure Database for MySQL within minutes and run their business applications as well as for operational data stores and data marts on Azure.

 

FOR HYBRID AND MULTI CLOUD
FOR HYBRID AND MULTI CLOUD
Build real-time data pipelines from on-premises and other cloud systems
CONTINUOUS, REAL-TIME
CONTINUOUS, REAL-TIME
Data flows continuously and in the right format into Azure Database for MySQL
EASY TO USE
EASY TO USE
Rapidly build and modify streaming data pipelines using a SQL-based language
Use Case

Zero Downtime Migration with Real-Time Data Pipelines

  • Continuously stream on-premises and cloud data to Azure Database services for seamless switchover for migration
  • Use a phased transition by running the old on-prem and new Azure database in parallel
  • Extend the testing of the new environment to minimize migration risks
  • Avoid data loss by using built-in database consistency verification
  • Get alerts instantaneously when databases diverge

 

 

 

Striim for Azure Database for MySQL


Real-Time Data Loading from On-Premises and Cloud-Based Sources


Filtering, Transformation, Aggregation, Masking, and Enrichment on Data In Motion


Built-In Security, Delivery Validation, HA, Scalability, and Reliability for Mission-Critical Applications

See how streaming data integration can work for you.

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