Build High-Performance Apps with Ignite

Replace multiple database, cache, and compute systems with one distributed platform. Store data in memory across multiple nodes, query with SQL, and execute code where data lives, all with ACID transactions and automatic failover.

Handle millions of operations per second while your application scales from one to hundreds of nodes. Apache Ignite provides open source foundation; GridGan adds additional capabilities, including advanced enterprise security, multi-region replication, columnar-based analytics, and more.

In-Memory Storage Distributed SQL ACID Transactions Horizontal Scaling
New to Ignite? Start with our getting started guide.
For Apache Ignite 3 or GridGain 9
Get Started

What is Ignite?

Apache Ignite 3 is a high-velocity distributed database that consolidates what you'd typically need separate systems for - transactions, analytics, and compute. It's built around flexible schemas and durable memory-centric storage with Raft consensus and MVCC transactions, so you get strong consistency without the operational complexity of managing multiple data technologies.

The GridGain Advantage
Distributed ACID Transactions with In-Memory Speed
Maintain full transactional integrity across distributed data with throughput measured in millions of operations per second
Hybrid Transactional-Analytical Processing (HTAP)
Run operational workloads and complex analytics on the same live data with no ETL or data movement required
Unified Compute and Data Platform
Execute code where your data lives with distributed computing fabric that eliminates data movement and network bottlenecks
Real-World Application Tutorials
Build production-ready applications with step-by-step tutorials featuring real-time data, distributed processing, and complete source code
Creating a distributed table with Ignite Java
                                
// Connect to the cluster
IgniteClient client = IgniteClient.builder()
.addresses("127.0.0.1:10800")
.build();

// Create a table
String createTableSql = "CREATE TABLE IF NOT EXISTS Person ("
+ "id INT PRIMARY KEY,"
+ "name VARCHAR,"
+ "age INT"
+ ")";
client.sql().execute(null, createTableSql);

// Insert data
String insertSql = "INSERT INTO Person (id, name, age) VALUES (?, ?, ?)";
client.sql().execute(null, insertSql, 1, "John Doe", 30);
client.sql().execute(null, insertSql, 2, "Jane Smith", 28);

// Query data
client.sql().execute(null, "SELECT * FROM Person WHERE age > ?", 25)
.forEachRemaining(row -> {
System.out.println("ID: " + row.intValue("id") +
", Name: " + row.stringValue("name") +
", Age: " + row.intValue("age"));
});

// Close the client
client.close();
                                
                                
                                
                                
                            
See it in action in under 5 minutes How-to Guide Arrow icon

Learning Paths

Clear paths from beginner to expert for every role

Beginner Path

Getting started with the basics

  1. Install & Configure

    Set up your first GridGain node

  2. Create Tables & Schemas

    Learn the new schema-first approach

  3. Storing & Retrieving Data

    CRUD operations with key-value interface

  4. Querying with SQL

    Using SQL with distributed datasets

Intermediate Path

Building production-ready applications

  1. Distributed Transactions

    ACID transactions across the cluster

  2. Compute Grid

    Executing tasks on the cluster

  3. Performance Optimization

    Tuning for improved throughput

  4. Integration Patterns

    Connecting with external systems

Advanced Path

Mastering enterprise-scale deployments

  1. High Availability Architectures

    Designing for zero downtime

  2. Advanced Performance Tuning

    Memory, storage & network optimization

  3. Multi-Region Deployments

    Cross-datacenter replication strategies

  4. Security & Compliance

    Enterprise security implementations

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