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DBMS > Memcached vs. MongoDB vs. QuestDB

System Properties Comparison Memcached vs. MongoDB vs. QuestDB

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Editorial information provided by DB-Engines
NameMemcached  Xexclude from comparisonMongoDB  Xexclude from comparisonQuestDB  Xexclude from comparison
DescriptionIn-memory key-value store, originally intended for cachingOne of the most popular document stores available both as a fully managed cloud service and for deployment on self-managed infrastructureA high performance open source SQL database for time series data
Primary database modelKey-value storeDocument storeTime Series DBMS
Secondary database modelsSpatial DBMS
Search engine infointegrated Lucene index, currently in MongoDB Atlas only.
Time Series DBMS infoTime Series Collections introduced in Release 5.0
Vector DBMS infocurrently available in the MongoDB Atlas cloud service only
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score16.99
Rank#32  Overall
#4  Key-value stores
Score400.93
Rank#5  Overall
#1  Document stores
Score2.91
Rank#92  Overall
#6  Time Series DBMS
Websitewww.memcached.orgwww.mongodb.comquestdb.io
Technical documentationgithub.com/­memcached/­memcached/­wikiwww.mongodb.com/­docs/­manualquestdb.io/­docs
DeveloperDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournalMongoDB, IncQuestDB Technology Inc
Initial release200320092014
Current release1.6.29, June 20247.0.5, January 2024
License infoCommercial or Open SourceOpen Source infoBSD licenseOpen Source infoMongoDB Inc.'s Server Side Public License v1. Prior versions were published under GNU AGPL v3.0. Commercial licenses are also available.Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenono infoMongoDB available as DBaaS (MongoDB Atlas)no
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCC++Java (Zero-GC), C++, Rust
Server operating systemsFreeBSD
Linux
OS X
Unix
Windows
Linux
OS X
Solaris
Windows
Linux
macOS
Windows
Data schemeschema-freeschema-free infoAlthough schema-free, documents of the same collection often follow the same structure. Optionally impose all or part of a schema by defining a JSON schema.yes infoschema-free via InfluxDB Line Protocol
Typing infopredefined data types such as float or datenoyes infostring, integer, double, decimal, boolean, date, object_id, geospatialyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.no
Secondary indexesnoyesno
SQL infoSupport of SQLnoRead-only SQL queries via the MongoDB Atlas SQL InterfaceSQL with time-series extensions
APIs and other access methodsProprietary protocolGraphQL
HTTP REST
Prisma
proprietary protocol using JSON
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
Supported programming languages.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
Actionscript infounofficial driver
C
C#
C++
Clojure infounofficial driver
ColdFusion infounofficial driver
D infounofficial driver
Dart infounofficial driver
Delphi infounofficial driver
Erlang
Go
Groovy infounofficial driver
Haskell
Java
JavaScript
Kotlin
Lisp infounofficial driver
Lua infounofficial driver
MatLab infounofficial driver
Perl
PHP
PowerShell infounofficial driver
Prolog infounofficial driver
Python
R infounofficial driver
Ruby
Rust
Scala
Smalltalk infounofficial driver
Swift
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
Server-side scripts infoStored proceduresnoJavaScriptno
Triggersnoyes infoin MongoDB Atlas onlyno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoPartitioned by hashed, ranged, or zoned sharding keys. Live resharding allows users to change their shard keys as an online operation with zero downtime.horizontal partitioning (by timestamps)
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoRepcached, a Memcached patch, provides this functionallityMulti-Source deployments with MongoDB Atlas Global Clusters
Source-replica replication
Source-replica replication with eventual consistency
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infocan be individually decided for each read operation
Immediate Consistency infodefault behaviour
Immediate Consistency
Foreign keys infoReferential integritynono infotypically not used, however similar functionality with DBRef possibleno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoMulti-document ACID Transactions with snapshot isolationACID for single-table writes
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentnoyes infooptional, enabled by defaultyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoIn-memory storage engine introduced with MongoDB version 3.2yes infothrough memory mapped files
User concepts infoAccess controlyes infousing SASL (Simple Authentication and Security Layer) protocolAccess rights for users and roles
More information provided by the system vendor
MemcachedMongoDBQuestDB
Specific characteristicsMongoDB provides an integrated suite of cloud database and data services to accelerate...
» more
Competitive advantagesBuilt around the flexible document data model and unified API, MongoDB is a developer...
» more
Typical application scenariosAI-enriched intelligent apps (Continental, Telefonica, Iron Mountain) Internet of...
» more
Key customersADP, Adobe, Amadeus, AstraZeneca, Auto Trader, Barclays, BBVA, Bosch, Cisco, CERN,...
» more
Market metricsHundreds of millions downloads, over 150,000+ Atlas clusters provisioned every month...
» more
Licensing and pricing modelsMongoDB database server: Server-Side Public License (SSPL) . Commercial licenses...
» more
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