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.

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.

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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