GridGain
About GridGain
GridGain provides a platform for ultra-low latency applications. The platform uses in-memory computing to deliver fast query times.
Used for
- Processing streaming data and executing business rules, AI/ML models, or optimizations for real-time decision making
- Consolidating data from systems of record into a unified hub
- Providing low-latency storage for real-time AI/ML workloads
- Running AI and analytics on live operational data in real time
Who it is for
- Used in capital markets for cross-asset risk and analytics.
- Used by an airline as a real-time data hub.
From GridGain's own website, read 2026-10-23. How we build listings.
How to evaluate Database Platforms
This is how the CIOPages Research Team evaluates this category. It is not an assessment of GridGain. It comes from our Enterprise Database Platforms buyer guide.
25%
Data Model & Query Fit
Match of the engine to the workload: relational integrity and joins, document/JSON flexibility, key-value latency; transaction isolation levels and ACID guarantees; SQL standard coverage and dialect quirks; secondary indexes, full-text and vector (pgvector / Atlas Search) support; foreign keys and referential integrity where you need them
20%
Consistency, Scale & HA
Single-primary vs. multi-writer; synchronous vs. async replication and resulting RPO; read-replica and sharding story; horizontal write scale and global/multi-region behavior (strong vs. eventual consistency); failover time, achievable RTO, and how partitions are handled under load
20%
Operability & Managed-Service Experience
Quality of the managed offering (RDS/Aurora, Azure SQL, Cloud SQL/AlloyDB) vs. self-managed burden; in-place and major-version upgrade path; backup/PITR, observability, and connection pooling; autoscaling and serverless options; day-2 toil — vacuum/compaction, index bloat, rebalancing — and the depth of the DBA skills it demands
15%
Licensing & Portability
License class and its real constraints: OSI open source (PostgreSQL, MySQL, Valkey, Redis 8 AGPL) vs. source-available (MongoDB SSPL, CockroachDB enterprise/BSL) vs. proprietary (Oracle, SQL Server); cloud lock-in of proprietary engines (Aurora, Spanner, DynamoDB); wire-protocol and SQL-dialect compatibility that preserves an exit; audit exposure on proprietary metrics
12%
Security & Compliance
Encryption at rest and in transit, TLS enforcement, and key management (BYOK/HSM); row- and column-level security and fine-grained RBAC; field-level / queryable encryption for sensitive data; audit logging; data-residency controls and certifications (SOC 2, ISO 27001, HIPAA, PCI, FedRAMP) on the managed service
8%
Ecosystem & Talent
Driver and ORM maturity across your languages; migration and CDC tooling (logical replication, Debezium, DMS); breadth of extensions and integrations; size and hireability of the talent pool; quality of docs and the support path — first-party vendor vs. third-party (EDB, Percona, Crunchy) for open engines
Other Database Platforms Vendors
View allCIOPages put this listing together from public sources. It’s information, not an endorsement. How we build listings. Work here? Claim this listing or .
Quick Facts
www.gridgain.comCategoryData & Analytics
SubcategoryDatabase Platforms
We publish a detail only when we can point at the page it came from. Know when GridGain was founded or where it is based? Send it to us, free.