Product

Streaming Data Integration for Cloud

The StriimTM 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.

An End-to-End Platform

Product

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
Continuous Processing
All ingestion and processing is continuous as the data is generated
Sub-second Latency
Sub-second Latency
Captures, processes, and delivers data and resulting insights in milliseconds.
Log-based CDC
Log-based CDC
Non-intrusive, minimal impact ingestion for relational databases
Real-Time Monitoring with Validation
Real-Time Monitoring with Validation
Offers visibility into the health of the data pipelines and verifies data delivery
In-Memory Computing (IMC)
In-Memory Computing (IMC)
Uses IMC for high-speed message infrastructure, data grid, event stream processing, and visualization
Flexible Time Windows
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.

Product


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.

Product


Robust and Scalable
Built by the makers of GoldenGate Software to support mission-critical environments


Secure 

Built-in authentication, authorization, protection, and encryption


Reliable

Fault tolerant with checkpointing and rollback. E1P with time window management

User Interface Walkthrough

See how streaming data integration can work for you.

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