GridGain and Terracotta Feature Comparison
Compare GridGain (built on Apache Ignite) and Software AG Terracotta BigMemory Max for IMDG and in-memory computing use cases across SQL, transactions, streaming, integrations, and operations.
- Compare ANSI-99 SQL support, including distributed joins and drivers
- Evaluate optimistic, pessimistic, and deadlock-free ACID transactions
- Review off-heap memory, tiered storage, and persistence capabilities
- Assess integration with RDBMS, NoSQL, Hadoop, Spark, and tooling
- Compare streaming, analytics, and machine/deep learning support
- Understand management, security, cloud/Kubernetes, and deployment options
About this feature comparison
This document provides a summary and detailed comparison of the GridGain in-memory computing platform and Software AG Terracotta BigMemory Max for in-memory data grid (IMDG) and broader in-memory computing use cases.
It highlights key platform differences including native ANSI-99 SQL (and how that impacts integration with SQL-based applications and tools), distributed SQL joins, and ACID transaction support (optimistic, pessimistic, and deadlock-free in GridGain vs more limited transaction capabilities in Terracotta).
The comparison also covers architectural and operational areas teams care about in production—tiered storage (on-heap/off-heap/disk), persistence and restart behavior, rebalancing, integrations (RDBMS/NoSQL/Hadoop/Spark), streaming/CEP positioning, security/audit features, cloud and container support, and monitoring/management.
GridGain supports ANSI-99 compliant SQL, including distributed SQL JOINs… Terracotta has limited query support for SQL.
GridGain and Terracotta Feature Comparison
Compare GridGain vs Terracotta BigMemory Max across ANSI-99 SQL, distributed joins, ACID transactions, tiered storage, integrations, streaming, security, and operations.
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