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DBMS > InfluxDB vs. MarkLogic vs. Memcached vs. MongoDB vs. Tarantool

System Properties Comparison InfluxDB vs. MarkLogic vs. Memcached vs. MongoDB vs. Tarantool

Editorial information provided by DB-Engines
NameInfluxDB  Xexclude from comparisonMarkLogic  Xexclude from comparisonMemcached  Xexclude from comparisonMongoDB  Xexclude from comparisonTarantool  Xexclude from comparison
DescriptionDBMS for storing time series, events and metricsOperational and transactional Enterprise NoSQL databaseIn-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 infrastructureIn-memory computing platform with a flexible data schema for efficiently building high-performance applications
Primary database modelTime Series DBMSDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Key-value storeDocument storeDocument store
Key-value store
Relational DBMS
Secondary database modelsSpatial DBMS infowith GEO packageSpatial 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
Spatial DBMS infowith Tarantool/GIS extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score26.56
Rank#28  Overall
#1  Time Series DBMS
Score6.50
Rank#56  Overall
#10  Document stores
#1  Native XML DBMS
#1  RDF stores
#5  Search engines
Score20.74
Rank#32  Overall
#4  Key-value stores
Score423.96
Rank#5  Overall
#1  Document stores
Score1.67
Rank#150  Overall
#25  Document stores
#25  Key-value stores
#69  Relational DBMS
Websitewww.influxdata.com/­products/­influxdb-overviewwww.marklogic.comwww.memcached.orgwww.mongodb.comwww.tarantool.io
Technical documentationdocs.influxdata.com/­influxdbdocs.marklogic.comgithub.com/­memcached/­memcached/­wikiwww.mongodb.com/­docs/­manualwww.tarantool.io/­en/­doc
DeveloperMarkLogic Corp.Danga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournalMongoDB, IncVK
Initial release20132001200320092008
Current release2.7.5, January 202411.0, December 20221.6.25, March 20246.0.7, June 20232.10.0, May 2022
License infoCommercial or Open SourceOpen Source infoMIT-License; commercial enterprise version availablecommercial inforestricted free version is availableOpen 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 infoBSD-2, source-available extensions (modules), commercial licenses for Tarantool Enterprise
Cloud-based only infoOnly available as a cloud servicenononono infoMongoDB available as DBaaS (MongoDB Atlas)no
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
MongoDB Atlas: Global multi-cloud database with unmatched data distribution and mobility across AWS, Azure, and Google Cloud, built-in automation for resource and workload optimization, and so much more.
Implementation languageGoC++CC++C and C++
Server operating systemsLinux
OS X infothrough Homebrew
Linux
OS X
Windows
FreeBSD
Linux
OS X
Unix
Windows
Linux
OS X
Solaris
Windows
BSD
Linux
macOS
Data schemeschema-freeschema-free infoSchema can be enforcedschema-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.Flexible data schema: relational definition for tables with ability to store json-like documents in columns
Typing infopredefined data types such as float or dateNumeric data and Stringsyesnoyes infostring, integer, double, decimal, boolean, date, object_id, geospatialstring, double, decimal, uuid, integer, blob, boolean, datetime
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.noyesno
Secondary indexesnoyesnoyesyes
SQL infoSupport of SQLSQL-like query languageyes infoSQL92noRead-only SQL queries via the MongoDB Atlas SQL InterfaceFull-featured ANSI SQL support
APIs and other access methodsHTTP API
JSON over UDP
Java API
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
Proprietary protocolGraphQL
HTTP REST
Prisma
proprietary protocol using JSON
Open binary protocol
Supported programming languages.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.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
C#
C++
Erlang
Go
Java
JavaScript
Lua
Perl
PHP
Python
Rust
Server-side scripts infoStored proceduresnoyes infovia XQuery or JavaScriptnoJavaScriptLua, C and SQL stored procedures
Triggersnoyesnoyes infoin MongoDB Atlas onlyyes, before/after data modification events, on replication events, client session events
Partitioning methods infoMethods for storing different data on different nodesSharding infoin enterprise version onlyShardingnoneSharding infoPartitioned by hashed, ranged, or zoned sharding keys. Live resharding allows users to change their shard keys as an online operation with zero downtime.Sharding, partitioned with virtual buckets by user defined affinity key. Live resharding for scale up and scale down without maintenance downtime.
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infoin enterprise version onlyyesnone infoRepcached, a Memcached patch, provides this functionallityMulti-Source deployments with MongoDB Atlas Global Clusters
Source-replica replication
Asynchronous replication with multi-master option
Configurable replication topology (full-mesh, chain, star)
Synchronous quorum replication (with Raft)
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infocan be individually decided for each read operation
Immediate Consistency infodefault behaviour
Casual consistency across sharding partitions
Eventual consistency within replicaset partition infowhen using asyncronous replication
Immediate Consistency within single instance
Sequential consistency including linearizable read within replicaset partition infowhen using Raft
Foreign keys infoReferential integritynononono infotypically not used, however similar functionality with DBRef possibleyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infocan act as a resource manager in an XA/JTA transactionnoMulti-document ACID Transactions with snapshot isolationACID, with serializable isolation and linearizable read (within partition); Configurable MVCC (within partition); No cross-shard distributed transactions
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes, cooperative multitasking
Durability infoSupport for making data persistentyesyesnoyes infooptional, enabled by defaultyes, write ahead logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoDepending on used storage engineyes, with Range Indexesyes infoIn-memory storage engine introduced with MongoDB version 3.2yes, full featured in-memory storage engine with persistence
User concepts infoAccess controlsimple rights management via user accountsRole-based access control at the document and subdocument levelsyes infousing SASL (Simple Authentication and Security Layer) protocolAccess rights for users and rolesAccess Control Lists
Mutual TLS authentication for Tarantol Enterprise
Password based authentication
Role-based access control (RBAC) and LDAP for Tarantol Enterprise
Users and Roles
More information provided by the system vendor
InfluxDBMarkLogicMemcachedMongoDBTarantool
Specific characteristicsInfluxData is the creator of InfluxDB , the open source time series database. It...
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MongoDB provides an integrated suite of cloud database and data services to accelerate...
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Competitive advantagesTime to Value InfluxDB is available in all the popular languages and frameworks,...
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Built around the flexible document data model and unified API, MongoDB is a developer...
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Typical application scenariosIoT & Sensor Monitoring Developers are witnessing the instrumentation of every available...
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AI-enriched intelligent apps (Continental, Telefonica, Iron Mountain) Internet of...
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Key customersInfluxData has more than 1,900 paying customers, including customers include MuleSoft,...
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ADP, Adobe, Amadeus, AstraZeneca, Auto Trader, Barclays, BBVA, Bosch, Cisco, CERN,...
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Market metricsFastest-growing database to drive 27,500 GitHub stars Over 750,000 daily active instances
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Hundreds of millions downloads, over 150,000+ Atlas clusters provisioned every month...
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Licensing and pricing modelsOpen source core with closed source clustering available either on-premise or on...
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MongoDB database server: Server-Side Public License (SSPL) . Commercial licenses...
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