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DBMS > GridGain vs. MongoDB vs. Sphinx vs. STSdb vs. TerminusDB

System Properties Comparison GridGain vs. MongoDB vs. Sphinx vs. STSdb vs. TerminusDB

Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonMongoDB  Xexclude from comparisonSphinx  Xexclude from comparisonSTSdb  Xexclude from comparisonTerminusDB infoformer name was DataChemist  Xexclude from comparison
DescriptionGridGain is an in-memory computing platform, built on Apache IgniteOne 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 databasesKey-Value Store with special method for indexing infooptimized for high performance using a special indexing methodScalable Graph Database platform making enterprise data available by exploiting inferred entities and relationships
Primary database modelKey-value store
Relational DBMS
Document storeSearch engineKey-value storeGraph 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
Document store
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.27
Rank#122  Overall
#25  Key-value stores
#60  Relational DBMS
Score489.64
Rank#5  Overall
#1  Document stores
Score6.76
Rank#63  Overall
#8  Search engines
Score0.02
Rank#347  Overall
#53  Key-value stores
Score0.14
Rank#305  Overall
#26  Graph DBMS
Websitewww.gridgain.comwww.mongodb.comsphinxsearch.comgithub.com/­STSSoft/­STSdb4terminusdb.com
Technical documentationwww.gridgain.com/­docs/­latestdocs.mongodb.com/­manualsphinxsearch.com/­docsterminusdb.github.io/­terminusdb/­#
DeveloperGridGain Systems, Inc.MongoDB, IncSphinx Technologies Inc.STS Soft SCDataChemist Ltd.
Initial release20072009200120112018
Current releaseGridGain 8.5.16.0.1, August 20223.4.1, July 20214.0.8, September 201510.0.21, March 2022
License infoCommercial or Open SourcecommercialOpen 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 infoGPLv2, commercial license availableOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenono infoMongoDB available as DBaaS (MongoDB Atlas)nonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, C++, .NetC++C++C#Prolog, Rust
Server operating systemsLinux
OS X
Solaris
Windows
Linux
OS X
Solaris
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
WindowsLinux
Data schemeyesschema-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.yesyesyes
Typing infopredefined data types such as float or dateyesyes infostring, integer, double, decimal, boolean, date, object_id, geospatialnoyes infoprimitive types and user defined types (classes)yes
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.yesno
Secondary indexesyesyesyes infofull-text index on all search fieldsno
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLRead-only SQL queries via the MongoDB Connector for BISQL-like query language (SphinxQL)noSQL-like query language (WOQL)
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
proprietary protocol using JSONProprietary protocol.NET Client APIOWL
RESTful HTTP API
WOQL (Web Object Query Language)
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
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
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++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
C#
Java
JavaScript
Python
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)JavaScriptnonoyes
Triggersyes (cache interceptors and events)yes infoin MongoDB Atlas onlynonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding 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 infoPartitioning is done manually, search queries against distributed index is supportednoneGraph Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)Multi-Source deployments with MongoDB Atlas Global Clusters
Source-replica replication
nonenoneJournaling Streams
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)yesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Foreign keys infoReferential integritynono infotypically not used, however similar functionality with DBRef possiblenonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDMulti-document ACID Transactions with snapshot isolationnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes infooptional, enabled by defaultyes infoThe original contents of fields are not stored in the Sphinx index.yesyes infoin-memory journaling
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoIn-memory storage engine introduced with MongoDB version 3.2
User concepts infoAccess controlSecurity Hooks for custom implementationsAccess rights for users and rolesnonoRole-based access control
More information provided by the system vendor
GridGainMongoDBSphinxSTSdbTerminusDB infoformer name was DataChemist
Specific characteristicsMongoDB’s application data platform provides developers a unified interface to power...
» more
Competitive advantagesThe MongoDB platform can be used by developers building transactional, operational,...
» 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 metrics200+ million downloads, over 1.5M Atlas database clusters under management handling...
» more
Licensing and pricing modelsMongoDB database server: Server-Side Public License (SSPL) . Commercial licenses...
» more

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More resources
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