memcached vs GridGain In-Memory Data Fabric

Struggling to choose between memcached and GridGain In-Memory Data Fabric? Both products offer unique advantages, making it a tough decision.

memcached is a Network & Admin solution with tags like caching, memory, performance.

It boasts features such as In-memory key-value store, Distributed architecture, Simple protocol, Horizontal scalability and pros including Very fast data lookup, Reduces database load, Improves overall application performance.

On the other hand, GridGain In-Memory Data Fabric is a Development product tagged with inmemory, database, data-grid, distributed-computing.

Its standout features include In-memory data storage and processing, Distributed caching, In-memory SQL queries, In-memory compute grid, High availability through data replication, Horizontal scalability, ACID transactions, ANSI SQL support, Streaming and CEP, Machine learning and predictive analytics, and it shines with pros like Very fast performance for data-intensive workloads, Low latency for real-time applications, Scales horizontally, Supports both SQL and key-value APIs, Open source and commercially supported options available.

Feature	memcached	GridGain In-Memory Data Fabric
Overall Score	N/A	N/A
Primary Category	Network & Admin	Development

Product Overview

memcached

Description: Memcached is an open source, high-performance distributed memory object caching system. It is used to speed up dynamic web applications by alleviating database load for reading/writing frequently accessed data.

GridGain In-Memory Data Fabric

Description: GridGain In-Memory Data Fabric is an in-memory computing platform that provides in-memory speed and massive scalability for data-intensive applications. It allows organizations to process transactions and analyze data in real-time.

Key Features Comparison

memcached Features

• In-memory key-value store
• Distributed architecture
• Simple protocol
• Horizontal scalability

GridGain In-Memory Data Fabric Features

• In-memory data storage and processing
• Distributed caching
• In-memory SQL queries
• In-memory compute grid
• High availability through data replication
• Horizontal scalability
• ACID transactions
• ANSI SQL support
• Streaming and CEP
• Machine learning and predictive analytics

Pros & Cons Analysis

memcached

Pros

• Very fast data lookup
• Reduces database load
• Improves overall application performance

Cons

• Data loss on server restart
• Additional system complexity
• Requires application code changes

GridGain In-Memory Data Fabric

Pros

• Very fast performance for data-intensive workloads
• Low latency for real-time applications
• Scales horizontally
• Supports both SQL and key-value APIs
• Open source and commercially supported options available

Cons

• Can require large amounts of RAM to store data in-memory
• Not ideal for storing large amounts of infrequently accessed data
• Complexity of distributed system configuration and management

Pricing Comparison

memcached

• Open Source

GridGain In-Memory Data Fabric

• Open Source
• Freemium
• Subscription-Based