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.
Memory-First
Flexible memory-first /
disk-second architecture
minimizes disk I/O to
provide ultra-low latencies
across transactional,
streaming and analytical
processing
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
Distributed
All workload is distributed
across a horizontally scalable
cluster
on-premises or in the cloud,
providing high availability,
scalability and strong data
consistency
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 WorkloadsGridGain 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