GridGain and Oracle Coherence Feature Comparison
Compare GridGain In-Memory Data Fabric and Oracle Coherence across SQL, transactions, streaming, memory options, integrations, and enterprise features for in-memory computing applications.
- Compare open-source Apache Ignite vs proprietary Coherence architectures
- Review SQL support, including distributed joins and JDBC/ODBC drivers
- Understand ACID transactions and performance considerations at scale
- Evaluate off-heap memory and off-heap index support
- See in-memory streaming and sliding window capabilities side-by-side
- Assess integrations, security, management, and cloud deployment support
About this comparison
This white paper provides a feature comparison of GridGain In-Memory Data Fabric and Oracle Coherence for in-memory computing applications. It highlights differences in how each solution approaches caching, transactions, and querying in distributed clusters.
You’ll learn how GridGain (built on Apache Ignite) is positioned to accelerate and scale data-intensive applications without ripping and replacing existing databases, including claims of dramatically faster queries and the ability to scale by adding nodes.
The comparison calls out key product differences such as SQL (ANSI-99) support with distributed joins, ACID transaction support and throughput guidance, and in-memory streaming with sliding windows, along with memory formats (on-heap/off-heap), indexing, integrations, and operational features.
GridGain supports complete SQL (ANSI-99) syntax, including distributed SQL JOINs… Oracle Coherence does not support SQL.
GridGain and Oracle Coherence Feature Comparison
Feature comparison of GridGain vs Oracle Coherence covering SQL (ANSI-99), distributed joins, ACID transactions, off-heap memory, streaming, integrations, and enterprise capabilities.
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