Continuously move reAl-time data into AWS
Striim for Amazon Web Services
Striim moves real-time data from virtually any data source, including enterprise databases via log-based change data capture (CDC)
Stream Data into AWS Cloud from Databases,
Kafka, and more
Striim moves real-time data from virtually any data source, including enterprise databases via log-based change data capture (CDC), other cloud environments, log files, messaging systems, sensors, and Hadoop data into AWS. AWS customers can rapidly build real-time data pipelines to Amazon Redshift, Amazon S3, Amazon RDS for Oracle, Amazon RDS for SQL Server, Amazon RDS for MySQL, Amazon Aurora, and Amazon Kinesis services to enable up-to-date data for critical workloads in the cloud.
With real-time data synchronization capabilities, Striim also helps companies move data from legacy databases to AWS RDS or Aurora databases with zero downtime and zero data loss, and enables an immediate switchover to the AWS environment.
Visit the AWS Marketplace to get a Striim subscription and to view BYOL offerings.
By continuously delivering real-time data to Google Cloud, Striim helps businesses migrate their data to Google Cloud without downtime or data loss, and seamlessly offload operational and analytics workloads to cloud.
Real-Time Data for Operational Workloads
Run operational workloads in RDS for Oracle, RDS for MySQL, RDS for SQL Server, Aurora MySQL by delivering data from on-prem and other cloud solutions in real time
Continuously ingest real-time data from Amazon RDS for Oracle and Amazon RDS for MySQL to distribute their data to the rest of the enterprise
Use cloud-based analytics in Amazon Redshift for operational use cases by continuously loading real-time, pre-processed data
Move real-time data bi-directionally between cloud-based storages by ingesting from, and delivering to, Amazon S3
- Connect Amazon Kinesis with enterprise databases, other messaging systems, log files, Hadoop solutions, and sensors in real time