The Unified Real-Time Platform
GridGain combines stream processing, a distributed in-memory data grid, and colocated compute to deliver data processing and analytics at massive scale and ultra-low latencies.

The Unified Real-Time Platform

GridGain combines stream processing, a distributed
in-memory data grid, and colocated compute to deliver data processing and analytics at massive scale and ultra-low latencies.

JPMorgan Chase
Ing
UPS
American Airlines
UBS
Essilor
American Express
3M
Motorola
Barclays
HP
FICO
Agilent Technologies
CMA CGM
Auto Zone
Ring Central
SS&C Advent
United Healthcare
Citigroup
BNP Paribas
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What Is GridGain?

GridGain is a Unified Real-Time Data Platform by the original creators of Apache Ignite. It enables a simplified and optimized data architecture for enterprises that require extreme speed, massive scale, and high availability from their data ecosystem.

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Memory-First
Flexible memory-first / disk-second architecture minimizes disk I/O to provide ultra-low latencies across transactional, streaming and analytical processing
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Colocated Compute
All computing is colocated and processed in the same memory space as the data, eliminating any overhead of data movement over the network
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Distributed
All workload is distributed across a horizontally scalable cluster on-premises or in the cloud, providing high availability, scalability and strong data consistency
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Cloud-Agnostic
Run GridGain on any public cloud infrastructure with support for multi-cloud, hybrid-cloud and inter-cloud deployments

Top Use Cases

REAL-TIME RISK MANAGEMENT
Execute advanced mathematical models against streaming data from multiple sources
SMART DECISIONING
Process streaming data and execute business rules, AI/ML models, or optimizations to enable decision making in real time
REAL-TIME TRANSACTIONAL ANALYTICS
Execute complex analytical workloads combining data in-motion and data at-rest with transactional context
LOW LATENCY 360° VIEW
Consolidate data from various systems of record into a low-latency data hub capable of manipulating and curating the data for target applications or audiences
HIGH-PERFORMANCE OLTP
Deliver a highly scalable, durable, and reliable online transactional processing (OLTP) for low-latency, high-throughput applications

Why Leading Companies Choose GridGain

GridGain’s unique ability to seamlessly combine streaming data in-motion and historical data at-rest with compute functionality enables enterprises to handle complex analytical and transactional data workloads at unmatched speed and scale.
  • Combine real-time and historical data
  • Handle streaming, batch, and transactional workloads
  • Support both data storage and real-time processing and analytics
  • Perform complex calculations
  • Handle large, disparate compute workloads
  • Horizontally scale on-demand
  • Run AI/ML models
  • Enable and accelerate continuous training of ML models with the latest transactional data
  • Deploy the newly trained model for the next incoming transaction in real time
  • Provide data access at ultra-low latencies
  • Enable in-application analytics on real-time data
  • Achieve low latencies for both data processing and analytics using live data

A Simplified Non-Intrusive Data Architecture

for Real-Time Transactions, Stream Processing, and Complex Analytical Workloads

GridGain optimizes your data ecosystem while providing architectural simplicity by supporting transactional, stream, and analytical processing across data silos.

The platform delivers ultra-low latencies with horizontal scalability, strong security, and disk-based durability, and does so across disparate, diverse, and distributed data sources.

Enterprise Applications
Computing & Processing
AI & Machine Learning
BI & Reporting
Data Pipelines
UNIFIED REAL-TIME DATA PLATFORM

Transaction

Processing

Advanced

Analytics

AI / ML

Operations

Data

Hub

System

of Record

Stream

Processing

RDBMS
No SQL
Streaming & CDC
Data Lakes
Cloud
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Awards and recognition →