Product

Streaming Data Integration for Cloud

The Striim^TM platform makes it easy to ingest, process, and deliver real-time data across diverse environments in the cloud or on-premise, helping you rapidly adopt a modern data architecture. With Striim you can build streaming data pipelines to cloud environments—such as Microsoft Azure, Amazon AWS, and Google Cloud Platform—as well as Kafka, Hadoop, NoSQL and relational databases (on-premises or in the cloud) with reliability, security, and scalability.

Quicklinks

Data Sheet
Striim Platform Overview
Video
Streaming Integration with Intelligence
Data Sheet
Continuous Data Movement and Processing for Hybrid Cloud
Blog Post
What's New in Striim v3.8.6
White paper
Get More Value from Apache Kafka

An End-to-End Platform

Striim’s patented software combines real-time data ingestion, stream processing, pipeline monitoring, and real-time delivery with validation in a single product. It continuously ingests a wide variety of high-volume, high-velocity data from enterprise databases –via low-impact change data capture— log files, messaging systems, Hadoop, cloud applications, and IoT devices in real time.

Striim performs in-flight data processing such as filtering, transformations, aggregations, masking, and enrichment of streaming data with reference data before delivering with sub-second latency to diverse environments, in the cloud or on-premise. Striim offers built-in pipeline monitoring and validation capabilities to trace and confirm the ingestion, processing, and delivery of streaming data.

Continuous Processing

All ingestion and processing is continuous as the data is generated

Sub-second Latency

Captures, processes, and delivers data and resulting insights in milliseconds.

Log-based CDC

Non-intrusive, minimal impact ingestion for relational databases

Real-Time Monitoring with Validation

Offers visibility into the health of the data pipelines and verifies data delivery

In-Memory Computing (IMC)

Uses IMC for high-speed message infrastructure, data grid, event stream processing, and visualization

Flexible Time Windows

Provides time-based, event-based, and session-based windowing

An Easy-to-Use Platform

You can build custom, real-time data integration and stream processing solutions in just days. With prebuilt data pipelines, out-of-the-box wizards for configuration and coding, and a drag-and-drop dashboard builder, Striim speeds time-to-deployment. Its SQL-based language makes it easy to modify the applications as business needs change.

Additionally, Striim integrates rapidly with existing data management solutions and machine learning solutions to operationalize previously-defined models via stream processing. It offers unlimited extensibility by allowing you to bring any written code into any part of the Striim platform.

Easy to Build

With an intuitive UI, wizards and SQL-based language, deliver custom apps in days

Easy to Modify

Familiar and easy-to-use to modify applications using a SQL language

Easy to Extend

Bring your existing code and easily integrate with machine learning solutions

An Enterprise-Grade Platform

Striim’s distributed, modern architecture combines highly-optimized data serialization and windowing with in-memory computing. It enables linear scale-out using a low-cost compute infrastructure to support extreme and varied data volumes and velocity. It offers end-to-end security with granular and flexible access control and in-flight data encryption. With a fault-tolerant architecture, delivery validation, and out-of-the-box exactly-once processing (E1P), it ensures no events are missed or processed twice, taking time window contents into account.