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DBMS > MongoDB vs. Sphinx vs. Splice Machine

System Properties Comparison MongoDB vs. Sphinx vs. Splice Machine

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Editorial information provided by DB-Engines
NameMongoDB  Xexclude from comparisonSphinx  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionOne of the most popular document stores available both as a fully managed cloud service and for deployment on self-managed infrastructureOpen source search engine for searching in data from different sources, e.g. relational databasesOpen-Source SQL RDBMS powered by Spark and Hadoop
Primary database modelDocument storeSearch engineRelational DBMS
Secondary database modelsSearch engine infointegrated Lucene index, currently in MongoDB Atlas only.
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score412.09
Rank#5  Overall
#1  Document stores
Score7.39
Rank#47  Overall
#5  Search engines
Score0.68
Rank#179  Overall
#91  Relational DBMS
Websitewww.mongodb.comsphinxsearch.comwww.splicemachine.com
Technical documentationdocs.mongodb.com/­manualsphinxsearch.com/­docsdoc.splicemachine.com
DeveloperMongoDB, IncSphinx Technologies Inc.John Leach
Initial release200920012014
Current release4.2, August 20193.1.1, October 20182.0
License infoCommercial or Open SourceOpen 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 infoGPL version 2, commercial licence availableOpen Source infoextended commercial Enterprise edition available
Cloud-based only infoOnly available as a cloud serviceno infoMongoDB available as DBaaS (MongoDB Atlas)nono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
MongoDB Atlas: Deploy a fully managed cloud database on-demand and ready for use in minutes. Available on AWS, Azure, and GCP.
Implementation languageC++C++Java
Server operating systemsLinux
OS X
Solaris
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
OS X
Solaris
Windows
Data schemeschema-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.yesyes
Typing infopredefined data types such as float or dateyes infostring, integer, double, decimal, boolean, date, object_id, geospatialnoyes
Secondary indexesyesyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLRead-only SQL queries via the MongoDB Connector for BISQL-like query language (SphinxQL)yes
APIs and other access methodsproprietary protocol using JSONProprietary protocolJDBC
ODBC
Supported programming languagesActionscript infoinofficial driver
C
C#
C++
Clojure infoinofficial driver
ColdFusion infoinofficial driver
D infoinofficial driver
Dart infoinofficial driver
Delphi infoinofficial driver
Erlang
Go
Groovy infoinofficial driver
Haskell
Java
JavaScript
Lisp infoinofficial driver
Lua infoinofficial driver
MatLab infoinofficial driver
Perl
PHP
PowerShell infoinofficial driver
Prolog infoinofficial driver
Python
R infoinofficial driver
Ruby
Scala
Smalltalk infoinofficial driver
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Java
JRuby
Scala
Server-side scripts infoStored proceduresJavaScriptnoyes infoJava
Triggersyes infoin MongoDB Atlas onlynoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infopartitioned by hashed, ranged, or zoned sharding keysSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-slave replicationnoneMaster-master replication
Master-slave replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono infouses HBase instead
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Immediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataMulti-document ACID Transactions with snapshot isolationnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes infooptionalyes infoThe original contents of fields are not stored in the Sphinx index.yes
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
User concepts infoAccess controlAccess rights for users and rolesnoAccess rights for users, groups and roles according to SQL-standard
More information provided by the system vendor
MongoDBSphinxSplice Machine
Specific characteristicsMongoDB is the leading modern, general purpose data platform, designed to unleash...
» more
Competitive advantagesThe MongoDB Data Platform can be used by developers building OLTP and analytical...
» more
Typical application scenariosInternet of Things and Time Series (Bosch, Jaguar Land Rover) Mobile (The Weather...
» more
Key customersADP, Adobe, Amadeus, AstraZeneca, Auto Trader, Barclays, BBVA, Bosch, Cisco, CERN,...
» more
Market metrics70 million downloads (growing at more than 30 thousand downloads per day). 15,000+...
» more
Licensing and pricing modelsMongoDB database server: Server-Side Public License (SSPL) . Commercial licenses...
» more
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