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GridGain In-Memory Data Fabric VS memcached

Compare GridGain In-Memory Data Fabric VS memcached and see what are their differences

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GridGain In-Memory Data Fabric logo GridGain In-Memory Data Fabric

TheGridGain In-Memory Computing Platform is a comprehensive solution provides speed and scale for data intensive applications across any data store

memcached logo memcached

High-performance, distributed memory object caching system
  • GridGain In-Memory Data Fabric Landing page
    Landing page //
    2023-05-09
  • memcached Landing page
    Landing page //
    2023-07-23

GridGain In-Memory Data Fabric features and specs

  • High Performance
    GridGain offers in-memory computing which significantly speeds up data processing by storing the data in RAM instead of traditional disk-based storage. This leads to faster data access and transaction times.
  • Scalability
    GridGain is designed to scale horizontally, meaning you can add more nodes to the system to handle increasing loads without a loss in performance.
  • Compatibility
    GridGain supports a wide range of data sources, including SQL, NoSQL, and Hadoop. It can be smoothly integrated into existing data architecture.
  • Distributed Computing
    GridGain offers built-in support for distributed computing, enabling tasks to be distributed across multiple nodes for parallel execution, thus enhancing processing efficiency.
  • Fault Tolerance
    GridGain comes with robust fault-tolerance mechanisms, including data replication and backup options, ensuring high availability and data integrity.
  • Advanced Analytics
    GridGain supports real-time analytics and complex event processing, making it suitable for intelligent data-driven decision-making.
  • Developer Tools
    GridGain provides a rich set of APIs and developer tools that simplify application development and monitoring.

Possible disadvantages of GridGain In-Memory Data Fabric

  • Cost
    The enterprise version of GridGain can be expensive, especially for small to mid-sized organizations.
  • Complexity
    Setting up and managing a GridGain cluster can be complex and may require specialized knowledge and skills, potentially leading to a steep learning curve.
  • Memory Dependency
    Since GridGain relies heavily on in-memory storage, it requires substantial RAM. Organizations with limited memory resources may find it challenging to implement.
  • Network Latency
    In a distributed setup, network latency can become an issue, particularly if the nodes are geographically dispersed.
  • Partial SQL Support
    While GridGain supports SQL, it may not offer full compliance with all SQL features. This could be limiting for applications that rely heavily on advanced SQL functionalities.
  • Vendor Lock-In
    Relying on a specialized in-memory data fabric like GridGain may lead to vendor lock-in, making it difficult to switch to other solutions in the future.

memcached features and specs

  • High Performance
    Memcached is incredibly fast and efficient at caching data in memory, enabling quick data retrieval and reducing the load on databases. Its in-memory nature significantly reduces latency.
  • Scalability
    Memcached can be easily scaled horizontally by adding more nodes to the caching cluster. This allows it to handle increased loads and large datasets without performance degradation.
  • Simplicity
    Memcached has a simple design and API, making it easy to implement and use. Developers can quickly integrate it into their applications without a steep learning curve.
  • Open Source
    Memcached is free and open-source software, which means it can be used and modified without any licensing fees. This makes it a cost-effective solution for caching.
  • Language Agnostic
    Memcached supports multiple programming languages through various client libraries, making it versatile and suitable for use in diverse tech stacks.

Possible disadvantages of memcached

  • Data Volatility
    Memcached stores data in RAM, so all cached data is lost if the server is restarted or crashes. This makes it unsuitable for storing critical or persistent data.
  • Limited Data Types
    Memcached primarily supports simple key-value pairs. It lacks the rich data types and more complex structures supported by some other caching solutions like Redis.
  • No Persistence
    Memcached does not offer any data persistence features. It cannot save data to disk, so all information is ephemeral and will be lost on system reset.
  • Size Limitation
    Memcached has a memory limit for each instance, thus, large-scale applications may need to manage multiple instances and ensure data is properly distributed.
  • Security
    Memcached does not provide built-in security features such as authentication or encryption. This can be a concern in environments where data privacy and security are critical.

GridGain In-Memory Data Fabric videos

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Deploying the GridGain In-Memory Data Fabric

memcached videos

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Course Preview: Using Memcached and Varnish to Speed Up Your Linux Web App

Category Popularity

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User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare GridGain In-Memory Data Fabric and memcached

GridGain In-Memory Data Fabric Reviews

We have no reviews of GridGain In-Memory Data Fabric yet.
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memcached Reviews

Redis vs. KeyDB vs. Dragonfly vs. Skytable | Hacker News
Quick ask: I don’t see “some” of the other offering out there like MemCached… what was the criteria used to select these? I don’t see any source of how the test where run, specs of the systems, how the DB where set up, etc. Would be very valuable to have in order to attempt to re-validate these test on our own platform. I also came back and saw some of your updates...
Source: news.ycombinator.com
Memcached vs Redis - More Different Than You Would Expect
So knowing how the difference between Redis and memcached in-memory usage, lets see what this means. Memcached slabs once assigned never change their size. This means it is possible to poison your memcached cluster and really waste memory. If you load your empty memcached cluster with lots of 1 MB items, then all of the slabs will be allocated to that size. Adding a 80 KB...
Source: engineering.kablamo.com.au
Redis vs. Memcached: In-Memory Data Storage Systems
Memcached itself does not support distributed mode. You can only achieve the distributed storage of Memcached on the client side through distributed algorithms such as Consistent Hash. The figure below demonstrates the distributed storage implementation schema of Memcached. Before the client side sends data to the Memcached cluster, it first calculates the target node of the...
Source: medium.com
Why Redis beats Memcached for caching
Both Memcached and Redis are mature and hugely popular open source projects. Memcached was originally developed by Brad Fitzpatrick in 2003 for the LiveJournal website. Since then, Memcached has been rewritten in C (the original implementation was in Perl) and put in the public domain, where it has become a cornerstone of modern Web applications. Current development of...
Source: www.infoworld.com

Social recommendations and mentions

Based on our record, memcached seems to be more popular. It has been mentiond 36 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

GridGain In-Memory Data Fabric mentions (0)

We have not tracked any mentions of GridGain In-Memory Data Fabric yet. Tracking of GridGain In-Memory Data Fabric recommendations started around Mar 2021.

memcached mentions (36)

  • MySQL Performance Tuning Techniques
    Memcached can help when lightning-fast performance is needed. These tools store frequently accessed data, such as session details, API responses, or product prices, in RAM. This reduces the laid on your primary database, so you can deliver microsecond response times. - Source: dev.to / 2 months ago
  • 10 Best Practices for API Rate Limiting in 2025
    In-memory tools like Redis or Memcached for fast Data retrieval. - Source: dev.to / 3 months ago
  • Outgrowing Postgres: Handling increased user concurrency
    A caching layer using popular in-memory databases like Redis or Memcached can go a long way in addressing Postgres connection overload issues by being able to handle a much larger concurrent request load. Adding a cache lets you serve frequent reads from memory instead, taking pressure off Postgres. - Source: dev.to / 3 months ago
  • API Caching: Techniques for Better Performance
    Memcached — Free and well-known for its simplicity, Memcached is a distributed and powerful memory object caching system. It uses key-value pairs to store small data chunks from database calls, API calls, and page rendering. It is available on Windows. Strings are the only supported data type. Its client-server architecture distributes the cache logic, with half of the logic implemented on the server and the other... - Source: dev.to / 7 months ago
  • story of upgrading rails 5.x to 7.x
    The app depends on several packages to run, so I need to install them locally too. I used a combination of brew and orbstack / docker for installing packages. Some dependencies for this project are redis, mongodb and memcache. - Source: dev.to / 9 months ago
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What are some alternatives?

When comparing GridGain In-Memory Data Fabric and memcached, you can also consider the following products

Pentaho - Pentaho is a Business Intelligence software company that offers Pentaho Business Analytics, a suite...

Redis - Redis is an open source in-memory data structure project implementing a distributed, in-memory key-value database with optional durability.

JasperReports - JasperReports Server is a stand-alone and embeddable reporting server.

MongoDB - MongoDB (from "humongous") is a scalable, high-performance NoSQL database.

Sisense - The BI & Dashboard Software to handle multiple, large data sets.

Aerospike - Aerospike is a high-performing NoSQL database supporting high transaction volumes with low latency.

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