Pivotal GemFire vs Infinispan

Struggling to choose between Pivotal GemFire and Infinispan? Both products offer unique advantages, making it a tough decision.

Pivotal GemFire is a Development solution with tags like inmemory, data-management, caching, distributed-systems.

It boasts features such as In-memory data management platform, Real-time, consistent access to data-intensive applications, Distributed data cache and event notification system, Powers high-performance applications, Scalable and highly available, Supports various data models (key-value, SQL, etc.), Provides advanced querying and analytics capabilities, Integrates with various data sources and frameworks and pros including Improved application performance and responsiveness, Reduced database load and latency, Highly scalable and fault-tolerant architecture, Supports a wide range of data models and use cases, Robust security and data management features, Integrates well with other Pivotal and Spring ecosystem tools.

On the other hand, Infinispan is a Development product tagged with caching, distributed-cache, inmemory-data-grid.

Its standout features include Distributed in-memory key/value data store, Supports transactions, Data partitioning, Data replication, Persistence to disk or database, Querying and indexing, Caching for databases, Clustering and high availability, and it shines with pros like Very fast data access, Scalable and elastic, Fault tolerant, Supports many data structures, Integrates with many frameworks/platforms, Open source with large community.

Feature	Pivotal GemFire	Infinispan
Overall Score	N/A	N/A
Primary Category	Development	Development

Product Overview

Pivotal GemFire

Description: Pivotal GemFire is an in-memory data management platform that provides real-time, consistent access to data-intensive applications. It is a distributed data cache and event notification system used to power high performance applications.

Infinispan

Description: Infinispan is an open source in-memory data grid and distributed cache. It is used to store and retrieve data with microsecond response times, while providing data reliability and availability.

Key Features Comparison

Pivotal GemFire Features

• In-memory data management platform
• Real-time, consistent access to data-intensive applications
• Distributed data cache and event notification system
• Powers high-performance applications
• Scalable and highly available
• Supports various data models (key-value, SQL, etc.)
• Provides advanced querying and analytics capabilities
• Integrates with various data sources and frameworks

Infinispan Features

• Distributed in-memory key/value data store
• Supports transactions
• Data partitioning
• Data replication
• Persistence to disk or database
• Querying and indexing
• Caching for databases
• Clustering and high availability

Pros & Cons Analysis

Pivotal GemFire

Pros

• Improved application performance and responsiveness
• Reduced database load and latency
• Highly scalable and fault-tolerant architecture
• Supports a wide range of data models and use cases
• Robust security and data management features
• Integrates well with other Pivotal and Spring ecosystem tools

Cons

• Complexity of setup and configuration
• Steep learning curve for developers
• Potential vendor lock-in with Pivotal ecosystem
• Higher costs compared to some open-source alternatives
• Limited community support and ecosystem compared to popular open-source options

Infinispan

Pros

• Very fast data access
• Scalable and elastic
• Fault tolerant
• Supports many data structures
• Integrates with many frameworks/platforms
• Open source with large community

Cons

• Complex to configure and operate
• Not ideal for durable long-term storage
• Can be resource intensive
• Not as fully featured as some proprietary options

Pricing Comparison

Pivotal GemFire

• Subscription-Based

Infinispan

• Open Source