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  1. Stackups
  2. Application & Data
  3. Databases
  4. Databases
  5. CockroachDB vs Memcached

CockroachDB vs Memcached

OverviewComparisonAlternatives

Overview

Memcached
Memcached
Stacks7.9K
Followers5.7K
Votes473
GitHub Stars14.0K
Forks3.3K
CockroachDB
CockroachDB
Stacks216
Followers341
Votes0

CockroachDB vs Memcached: What are the differences?

Introduction

Here we will discuss the key differences between CockroachDB and Memcached.

  1. Scalability: CockroachDB is designed to be a scalable, distributed SQL database that can handle large volumes of data across multiple machines and clusters. It provides horizontal scalability by automatically sharding data and distributing it across nodes. On the other hand, Memcached is an in-memory key-value store primarily used for caching data. It does not provide built-in mechanisms for scaling out data across multiple nodes or clusters.

  2. Data Persistence: CockroachDB offers durable and consistent data persistence by automatically replicating data across different nodes. It uses a distributed consensus protocol to ensure replication and fault tolerance. In contrast, Memcached does not provide built-in support for data persistence. It stores data solely in memory and relies on the application to handle any persistence requirements.

  3. Data Model: CockroachDB is a SQL database that supports complex data models, including structured, semi-structured, and unstructured data. It provides ACID transaction support and allows for complex queries using SQL. Memcached, on the other hand, is a simple key-value store that only supports basic operations such as get, set, and delete. It does not support complex data structures or querying capabilities.

  4. Memory Usage: CockroachDB replicates data across nodes and stores it on disk, which requires more memory compared to Memcached, which stores data solely in memory. Therefore, CockroachDB generally requires more memory resources compared to Memcached.

  5. Cache Capabilities: While CockroachDB does have some caching mechanisms, its primary focus is on data persistence and strong consistency. On the other hand, Memcached is specifically designed for caching data in memory, which makes it more efficient in serving high volumes of read-intensive workloads.

  6. Deployment and Use Case: CockroachDB is commonly used as a general-purpose database in applications that require distributed, highly available, and scalable data storage. It is suitable for use cases where strong consistency and SQL querying capabilities are essential. Memcached, on the other hand, is primarily used as a caching layer to improve the performance of web applications by reducing the load on database servers.

In summary, CockroachDB is a scalable, distributed SQL database with strong consistency and complex query support, while Memcached is an in-memory key-value store primarily used for caching data, with a focus on high read performance and simplicity.

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Detailed Comparison

Memcached
Memcached
CockroachDB
CockroachDB

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.

CockroachDB is distributed SQL database that can be deployed in serverless, dedicated, or on-prem. Elastic scale, multi-active availability for resilience, and low latency performance.

-
sql; high availability; fast; acid;
Statistics
GitHub Stars
14.0K
GitHub Stars
-
GitHub Forks
3.3K
GitHub Forks
-
Stacks
7.9K
Stacks
216
Followers
5.7K
Followers
341
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, CockroachDB?

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.

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