Real-time risk management by executing advanced mathematical models against streaming data. In-memory computing delivers millisecond query times for lightning-fast performance. Horizontal scale-out allows seamless cluster growth without downtime or limits.
Enterprises requiring mission-critical, high-speed compute for transactional, analytical, and AI/ML workloads.
Organizations needing scalable, secure, and highly available in-memory data platforms for real-time applications.
Know the limitations
A working Apache Ignite cluster alone lacks features like zero-downtime operations, enterprise security, and high availability needed for mission-critical production use.
Operationalizing Apache Ignite requires additional capabilities such as snapshots, point-in-time recovery, and professional support which GridGain provides.
What you can do
Real-time risk management by executing advanced mathematical models against streaming data.
Smart decisioning by processing streaming data and executing business rules, AI/ML models, or optimizations in real time.
Low-latency data hub consolidates data from systems of record into a unified hub for applications and audiences.
Accelerate AI/ML workloads by providing low-latency storage for real-time AI/ML including feature stores, prediction caches, model repositories, and vector search.
Features
In-memory computing delivers millisecond query times for lightning-fast performance.
Horizontal scale-out allows seamless cluster growth without downtime or limits.
Flexible data access via SQL, transactions-based key-value, or compute APIs.
Enterprise reliability with built-in failover, encryption, and role-based access control (RBAC) for 24/7 uptime.
Real-time analytics to run AI and analytics on live operational data.
Integrations
Not confirmed yet.
Platforms & data export
Not confirmed yet.
gridgain pricing
No plans recorded yet.
THE COST FOR YOUR TEAM
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Published plan prices for your team size and usage. Results update as you type. Taxes, currency conversion and unlisted add-ons are excluded, and anything the source did not state is called out rather than guessed.
Known monthly subtotal
$0/month
1 of 1 tools could not be priced with these inputs, so this is not the full cost.
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