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memcached VS Datahike

Compare memcached VS Datahike and see what are their differences

memcached logo memcached

High-performance, distributed memory object caching system

Datahike logo Datahike

A durable datalog database adaptable for distribution.
  • memcached Landing page
    Landing page //
    2023-07-23
  • Datahike Landing page
    Landing page //
    2023-08-22

memcached videos

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

Datahike videos

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Category Popularity

0-100% (relative to memcached and Datahike)
Databases
70 70%
30% 30
NoSQL Databases
71 71%
29% 29
Key-Value Database
100 100%
0% 0
Relational Databases
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare memcached and Datahike

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...
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...
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...

Datahike Reviews

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Social recommendations and mentions

Based on our record, memcached should be more popular than Datahike. It has been mentiond 30 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.

memcached mentions (30)

  • How to Setup a Project That Can Host Up to 1000 Users for Free
    One of the most effective ways to improve the application’s performance is caching regularly accessed data. There are two leading key-value stores: Memcached and Redis. I prefer using Memcached Cloud add-on for caching because it was originally intended for it and is easier to set up, and using Redis only for background jobs. - Source: dev.to / 22 days ago
  • Consistent Hashing: An Overview and Implementation in Golang
    Distributed caching Consistent hashing is a popular technique for distributed caching systems like Memcached and Dynamo. In these systems, the caches are distributed across many servers. When a cache miss occurs, consistent hashing is used to determine which server contains the required data. This allows the overall cache to scale to handle more requests. - Source: dev.to / about 2 months ago
  • How to choose the right type of database
    Memcached: A simple, open-source, distributed memory object caching system primarily used for caching strings. Best suited for lightweight, non-persistent caching needs. - Source: dev.to / 4 months ago
  • A Developer's Journal: Simplifying the Twelve-Factor App
    Stores session state in a session store like Memcached or Redis. - Source: dev.to / 7 months ago
  • Django Caching 101: Understanding the Basics and Beyond
    Django supports using Memcached as a cache backend. Memcached is a high-performance, distributed memory caching system that can be used to store cached data across multiple servers. - Source: dev.to / 11 months ago
View more

Datahike mentions (4)

  • The Ten Rules of Schema Growth
    Datahike [0] provides similar functionality to datomic and is open source. It lacks some features however that Datomic does have [1]. [0]: https://github.com/replikativ/datahike. - Source: Hacker News / 8 months ago
  • Is Datomic right for my use case?
    You can also consider other durable Datalog options like datahike or datalevin which can work either as lib (SQLite style) or in a client-server setup; if you want to play with bi-temporality XTDB is a rock solid option with very good support and documentation. Source: 12 months ago
  • Max Datom: Interactive Datomic Tutorial
    Oh really interesting. I didn't know about that. I was actually going threw the old Mendat code base and was considering using that. I would really like a pure Rust version of Datomic for embed use cases. There is all also Datahike, that is going in that direction too. It is maintained and actively developed. https://github.com/replikativ/datahike. - Source: Hacker News / about 2 years ago
  • Show HN: Matrix-CRDT – real-time collaborative apps using Matrix as backend
    Having an Datomic like store backed by something like this. https://github.com/replikativ/datahike Is an Open Source variant of Datomic. Lambdaforge wants to eventually have this work with CRDTs. Using the Matrix ecosystem for this is quite interesting as it solves many problems for you already. - Source: Hacker News / over 2 years ago

What are some alternatives?

When comparing memcached and Datahike, you can also consider the following products

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

Datomic - The fully transactional, cloud-ready, distributed database

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

Oracle TimesTen - TimesTen is an in-memory, relational database management system with persistence and...

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

Valentina Server - Valentina Server is 3 in 1: Valentina DB Server / SQLite Server / Report Server