In-Memory. REDEFINED.
Digital Transformation Has Never Been So Simple
What We Do
The fastest, most scalable distributed caching tier on any operational data source, to accelerate your digital applications and fuel real-time reporting and BI.
A distributed in-memory operational data store, with unparalleled low-latency, high-performance & scale that aggregates and offloads from multiple systems of record.
An in-memory Translytical platform that unifies streaming, real-time transactional (ACID compliant) and analytical processing for instant insights and closed loop decision making.
The Numbers Speak for Themselves
30x
faster than your existing database6x
faster than other in-memory alternatives400x
faster than your data lakes100s
of concurrent analysts
What You Can Achieve
Extreme Performance
Unparalleled speed, high-throughput transactional processing to accelerate applications, BI and analytics; fueled by distributed in-memory speed, colocation of business logic and data, secondary indexing and server-side aggregations.
AI-Driven Autonomous Scaling
Autonomous scaling for transactional and analytical workloads handles unplanned peak events without performance degradation or downtime; optimizing resource allocation to avoid overprovisioning on-premise and on the cloud.
True Cloud Native
Cloud, hybrid and multicloud deployments with out-of-the-box, fully agnostic management functionality. Supports automatic installation and provisioning, self-recovery, auto-scaling and more.
No-Code Database Integration
One-Click database integration for faster time-to-market and ongoing data integration to radically reduce development overhead by automatically scanning the source schema and metadata and mapping them to the GigaSpaces data model.
Real-Time Analytics & Operational BI
Fastest reporting engine that slices and dices operational data with in-memory aggregations and filtering for real-time BI on fresh data and accelerated batch reporting at high concurrency.
Business Policy-Driven Data Tiering
Unique business-driven caching based on the app’s business policy for full control over which data is saved in cache and when to evict to SSD or disk for SLA-driven optimization of cost and performance.
Use Case Highlights
