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H2 Database Engine VS memcached

Compare H2 Database Engine VS memcached and see what are their differences

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H2 Database Engine logo H2 Database Engine

H2 is a relational database management system written in Java.

memcached logo memcached

High-performance, distributed memory object caching system
  • H2 Database Engine Landing page
    Landing page //
    2018-09-30
  • memcached Landing page
    Landing page //
    2023-07-23

H2 Database Engine videos

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memcached videos

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

Category Popularity

0-100% (relative to H2 Database Engine and memcached)

H2 Database Engine

memcached

NoSQL Databases
15 15%
NoSQL Databases
85% 85
Databases
14 14%
Databases
86% 86
Relational Databases
100 100%
Relational Databases
0% 0
Key-Value Database
5 5%
Key-Value Database
95% 95

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare H2 Database Engine and memcached

H2 Database Engine Reviews

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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 a lot more popular than H2 Database Engine. While we know about 28 links to memcached, we've tracked only 2 mentions of H2 Database Engine. 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.

H2 Database Engine mentions (2)

  • Help with databases
    Not sure of your use case, maybe you could use an embedded database (ie h2). Source: over 2 years ago
  • How to mock a database connection in Java?
    There are in-memory databases such as H2 which you can use for testing that is just a library you import. However, syntax can vary between databases. So it's only really appropriate if you're also using something like Hibernate which abstracts away a lot of the differences. Source: over 2 years ago

memcached mentions (28)

  • 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 / 2 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 / 5 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 / 10 months ago
  • Node.js server-side authentication: Tokens vs. JWT
    In server-side authentication, the session state is stored on the server-side, which can be scaled horizontally across multiple servers using tools like Redis or Memcached. - Source: dev.to / 10 months ago
  • How Instagram handles data?
    The main components are sharding and caching. The storage is done with MySQL. The cache is done by memcached. Source: 12 months ago
View more

What are some alternatives?

When comparing H2 Database Engine and memcached, 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.

Amazon RDS - Easy to manage relational databases optimized for total cost of ownership.

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

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

PostgreSQL - PostgreSQL is a powerful, open source object-relational database system.

TeamDesk - Online Database Software. TeamDesk is a web-based database aimed to facilitate working with data, organize and store information you are using in your routine work, create an easily accessible data source for your team.

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