STRIIM FOR AMAZON WEB SERVICES

Continuously Move Real-Time Data into AWS

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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.

WHY STRIIM FOR AMAZON WEB SERVICES

Striim for Amazon Web Services

Striim offers real-time collection, preparation, and delivery of unstructured, semi-structured, and structured data into multiple different Amazon environments.

For major databases, including Oracle, SQL Server, HPE NonStop, MySQL, Amazon RDS for Oracle, Amazon RDS for MySQL, it offers non-intrusive change data capture (CDC) capabilities. Without inefficient batch cycles, Striim performs in-line data transformation, including denormalization, and enrichments using SQL-based language before loading the data in real time.

In addition to enabling zero downtime database migration to AWS, Striim can validate the data migration to AWS, including the AWS Data Migration solution, to avoid data loss or divergence.

The Striim platform can also be deployed in the AWS environment with a BYOL model to implement various use cases beyond integration to AWS services. These use cases include real-time data integration for enterprise databases, Apache Kafka, Apache Hadoop, Apache Cassandra, and other cloud environments.

Striim’s wizard-based, drag-and-drop design interface speeds deployment and time to market for new solutions.

CONTINUOUS, REAL-TIME
CONTINUOUS, REAL-TIME
Feed data continuously, in the right format into AWS
EASY TO USE
EASY TO USE
Easily build and modify streaming data pipelines using a SQL-based language
ENTERPRISE GRADE
ENTERPRISE GRADE
Supports high-volumes of data with built-in security, reliability
Use Cases

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 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

 

Striim for Amazon Web Services


Easily offload high-value workloads to AWS by continuously loading real-time data from operational systems


Pre-process your enterprise data through filter, transform, enrich and join operators in real time as it is being delivered into AWS


Enable bi-directional data synchronization between your cloud and on-prem environments

See how streaming data integration can work for you.

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