StackShareStackShare
Follow on
StackShare

Discover and share technology stacks from companies around the world.

Follow on

© 2025 StackShare. All rights reserved.

Product

  • Stacks
  • Tools
  • Feed

Company

  • About
  • Contact

Legal

  • Privacy Policy
  • Terms of Service
  1. Stackups
  2. Application & Data
  3. Databases
  4. Databases
  5. Memcached vs NuoDB

Memcached vs NuoDB

OverviewComparisonAlternatives

Overview

Memcached
Memcached
Stacks7.9K
Followers5.7K
Votes473
GitHub Stars14.0K
Forks3.3K
NuoDB
NuoDB
Stacks9
Followers25
Votes0

Memcached vs NuoDB: What are the differences?

Introduction: In the world of databases and caching systems, Memcached and NuoDB are two popular choices. Below are the key differences between Memcached and NuoDB.

  1. Architecture: Memcached is a distributed memory caching system that stores data in memory for faster access, acting as a key-value store. On the other hand, NuoDB is a distributed SQL database designed to scale-out elastically and guarantee ACID properties across multiple nodes. While Memcached is primarily used for caching data to improve performance, NuoDB is designed to store and manage structured data in a distributed environment.

  2. Consistency: Memcached focuses on speed and scalability, sacrificing consistency in favor of performance. It uses a loose form of consistency known as eventual consistency, where data updates may take time to propagate across all nodes. In contrast, NuoDB ensures strong consistency by using a distributed commit protocol that guarantees the execution and order of transactions across the database in a consistent manner.

  3. Data Storage: Memcached stores data in memory only and does not provide persistence mechanisms out of the box. Data is lost upon server restarts or crashes unless backed up externally. In contrast, NuoDB can store data both in memory and on disk, ensuring data durability and fault tolerance through replication and persistence mechanisms.

  4. Query Language: Memcached does not support querying or any form of SQL-like operations as it is a simple key-value store. In contrast, NuoDB supports standard SQL queries and transactions, providing a familiar interface for developers and enabling complex data retrieval and manipulation operations.

  5. Scaling: Memcached scales horizontally by adding more servers to the pool, distributing the workload and data across multiple nodes. However, it relies on client-side sharding and may require application-level logic to manage data distribution. NuoDB, on the other hand, scales both vertically and horizontally by adding more compute or storage nodes, automatically distributing data and workload without the need for manual sharding.

  6. Consensus Protocol: Memcached does not employ a consensus protocol for coordination between nodes, making it susceptible to data inconsistencies in case of network partitions. NuoDB, on the other hand, uses a distributed consensus protocol like Paxos or Raft to ensure coordination and agreement among nodes, maintaining data integrity and consistency even in the presence of network failures.

In Summary, Memcached focuses on speed and caching performance with eventual consistency, while NuoDB prioritizes ACID compliance, strong consistency, and distributed SQL capabilities for scalable and reliable data storage.

Share your Stack

Help developers discover the tools you use. Get visibility for your team's tech choices and contribute to the community's knowledge.

View Docs
CLI (Node.js)
or
Manual

Detailed Comparison

Memcached
Memcached
NuoDB
NuoDB

Memcached is an in-memory key-value store for small chunks of arbitrary data (strings, objects) from results of database calls, API calls, or page rendering.

NuoDB’s continuously available, ACID-compliant, SQL database delivers on-demand capacity on commodity hardware across multiple data centers.

Statistics
GitHub Stars
14.0K
GitHub Stars
-
GitHub Forks
3.3K
GitHub Forks
-
Stacks
7.9K
Stacks
9
Followers
5.7K
Followers
25
Votes
473
Votes
0
Pros & Cons
Pros
  • 139
    Fast object cache
  • 129
    High-performance
  • 91
    Stable
  • 65
    Mature
  • 33
    Distributed caching system
Cons
  • 2
    Only caches simple types
No community feedback yet

What are some alternatives to Memcached, NuoDB?

MongoDB

MongoDB

MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.

MySQL

MySQL

The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.

PostgreSQL

PostgreSQL

PostgreSQL is an advanced object-relational database management system that supports an extended subset of the SQL standard, including transactions, foreign keys, subqueries, triggers, user-defined types and functions.

Microsoft SQL Server

Microsoft SQL Server

Microsoft® SQL Server is a database management and analysis system for e-commerce, line-of-business, and data warehousing solutions.

SQLite

SQLite

SQLite is an embedded SQL database engine. Unlike most other SQL databases, SQLite does not have a separate server process. SQLite reads and writes directly to ordinary disk files. A complete SQL database with multiple tables, indices, triggers, and views, is contained in a single disk file.

Cassandra

Cassandra

Partitioning means that Cassandra can distribute your data across multiple machines in an application-transparent matter. Cassandra will automatically repartition as machines are added and removed from the cluster. Row store means that like relational databases, Cassandra organizes data by rows and columns. The Cassandra Query Language (CQL) is a close relative of SQL.

MariaDB

MariaDB

Started by core members of the original MySQL team, MariaDB actively works with outside developers to deliver the most featureful, stable, and sanely licensed open SQL server in the industry. MariaDB is designed as a drop-in replacement of MySQL(R) with more features, new storage engines, fewer bugs, and better performance.

RethinkDB

RethinkDB

RethinkDB is built to store JSON documents, and scale to multiple machines with very little effort. It has a pleasant query language that supports really useful queries like table joins and group by, and is easy to setup and learn.

ArangoDB

ArangoDB

A distributed free and open-source database with a flexible data model for documents, graphs, and key-values. Build high performance applications using a convenient SQL-like query language or JavaScript extensions.

InfluxDB

InfluxDB

InfluxDB is a scalable datastore for metrics, events, and real-time analytics. It has a built-in HTTP API so you don't have to write any server side code to get up and running. InfluxDB is designed to be scalable, simple to install and manage, and fast to get data in and out.

Related Comparisons

Bootstrap
Materialize

Bootstrap vs Materialize

Laravel
Django

Django vs Laravel vs Node.js

Bootstrap
Foundation

Bootstrap vs Foundation vs Material UI

Node.js
Spring Boot

Node.js vs Spring-Boot

Liquibase
Flyway

Flyway vs Liquibase