GridGain — Extreme Speed and Scale for Data-Intensive Apps

Process enterprise-wide data in milliseconds

Trusted by Industry Leaders

What Is GridGain?

Memory-First and Distributed

High-performance storage architecture minimizes disk I/O to provide ultra-low read/write latencies. All workload is distributed across a horizontally scalable cluster providing high availability and massive scalability.

Accelerated Compute Workloads

All computing is colocated and processed in the same memory space as the data, eliminating any overhead of data movement over the network. Deploy and execute compute workloads right on GridGain. Colocate storage. Minimize network I/O. Enable real-time analytics.

Data and Transaction Integrity

Durable and strong data consistency. Transaction processing. Fully ACID-compliant disk-based storage.

Non-Intrusive

Easily connects to existing applications and data stores without rip and replace. Multi-model and multi-language support including ANSI-2016 SQL and full ACID compliance.

Problems We Solve

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.

Low-Latency Data Hub

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-volume event processing

Deliver highly scalable, durable, and reliable transactional and stream processing for low-latency, high-throughput applications.

Modernizing legacy systems

Make your traditional databases and mainframes first-class citizens of your modern data ecosystem. Reduce costs by scaling horizontally on-prem and to the cloud.

Accelerating AI applications

Take RAG applications from prototype to production. Streamline data architecture for GenAI. Enterprise-ready GenAI and RAG. Traditional ML. Vector store and feature store. Low-latency data hub for AI. Integrations with common frameworks.

What GridGain Enables

Leading companies choose GridGain for its unmatched Speed and Scale

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.

Transaction Acceleration

GridGain speeds ACID-compliant transaction processing with atomicity modes, supporting optimistic and pessimistic concurrency, and various isolation levels. This allows for distributed, ultra-low latency processing, SQL transactions, and deadlock detection, ensuring data consistency and scalability in distributed environments.

Stream Processing

GridGain’s Data Streaming API allows the platform to seamlessly integrate with technologies like Apache Kafka and Spark. It supports real-time data ingestion, processing, and publishing, using features like Continuous Query and stream transformers for efficient, scalable, and fault-tolerant data handling.

Advanced Analytics

GridGain combines in-memory computing with ANSI-2016 SQL for real-time OLTP and OLAP processing. It supports hybrid transactional/analytical processing (HTAP), allowing large data volumes to be ingested and analyzed in real-time, leveraging distributed computing for ultra-low latency and massive scalability.

System of Record

GridGain can be used as a system of record by utilizing its multi-tiered storage architecture. It caches data in RAM for fast access and persists it in a built-in transactional persistent storage. This setup allows GridGain to handle large data sets, ensuring durability and data consistency.

AI/ML Data Store

GridGain provides a scalable, in-memory computing platform that supports real-time data processing. It eliminates ETL delays by allowing the training and inference of machine learning models directly on data stored in-memory. GridGain's distributed architecture also supports continuous learning, fault tolerance, and efficient execution of AI models.

Data Hub

GridGain is often used to enable a data integration hub (DIH) by acting as a high-performance, in-memory computing platform that aggregates data from multiple sources. It caches data from databases, SaaS applications, and data streams, providing a unified API layer that reduces direct API calls and supports real-time analytics.

The GridGain Advantage

A simplified non-intrusive data architecture for real-time transactions, stream processing, and 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.