In-memory Data Grid

High-speed distributed cache.

Distributed in-memory data grid for ultra-low latency data access. Near-cache, compute grid, and distributed data structures across clusters.

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K1K2K3K4K5K6< 100 μs

< 100 μs

Latency

Petabytes

Scale

Active-active

HA

In-place

Compute

Memory-speed data.

Distributed in-memory data grid with compute.

Sub-100μs reads

Data partitioned across memory of cluster nodes. Near-cache for client-side caching.

Distributed structures

Maps, queues, sets, locks, and atomics distributed across the cluster.

Active-active

Multi-region active-active with conflict-free replicated types.

Compute grid

Execute code co-located with data for minimal latency.

SQL queries

SQL queries on distributed in-memory data with indexes.

Persistence

Async write-behind to any persistent store for durability.

Getting started

Launch your first instance in three steps. CLI, console, or API — your choice.

Terminal
ur db datagrid create my-grid \
  --nodes=6 --memory=64GB

Data grid patterns.

Sessions and distributed computing.

Session management

Distributed session storage with sub-millisecond access.

View tutorial

Suggested configuration

HA · Near-cache · TTL

Estimate your costs

Create detailed configurations to see exactly how much your architecture will cost. Pay for what you use, down to the second.

Configuration 1

Estimated: $333.33/mo

Data Grid

Node Resources

Data & Backups

Plan & Commitment

Config 1 cost$333.33

Cost details

$333.33

Distributed in-memory computing. Hazelcast/Apache Ignite compatible.

Configuration 1
$333.33
1× Database Node(s)$316.00
Persistent Storage$15.00
Automated Backups$2.33
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Works seamlessly with

Compute
VPC
Monitoring
IAM
Logging
Databases

Frequently asked questions

Memory-speed data.

Distributed in-memory data grid with compute capabilities.

Create grid View docs