GridGain In-Memory Data Fabric vs memcached

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

GridGain In-Memory Data Fabric is a Development solution with tags like inmemory, database, data-grid, distributed-computing.

It boasts features such as 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 pros including 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.

On the other hand, memcached is a Network & Admin product tagged with caching, memory, performance.

Its standout features include In-memory key-value store, Distributed architecture, Simple protocol, Horizontal scalability, and it shines with pros like Very fast data lookup, Reduces database load, Improves overall application performance.

To help you make an informed decision, we've compiled a comprehensive comparison of these two products, delving into their features, pros, cons, pricing, and more. Get ready to explore the nuances that set them apart and determine which one is the perfect fit for your requirements.

GridGain In-Memory Data Fabric

GridGain In-Memory Data Fabric

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.

Categories:
Development In-Memory Databases
inmemory database data-grid distributed-computing

GridGain In-Memory Data Fabric Features

  1. In-memory data storage and processing
  2. Distributed caching
  3. In-memory SQL queries
  4. In-memory compute grid
  5. High availability through data replication
  6. Horizontal scalability
  7. ACID transactions
  8. ANSI SQL support
  9. Streaming and CEP
  10. Machine learning and predictive analytics

Pricing

  • Open Source
  • Freemium
  • Subscription-Based

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

memcached

memcached

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.

Categories:
Network & Admin Caching
caching memory performance

Memcached Features

  1. In-memory key-value store
  2. Distributed architecture
  3. Simple protocol
  4. Horizontal scalability

Pricing

  • Open Source

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