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DBMS > GridGain vs. Lovefield vs. RethinkDB vs. Stardog

System Properties Comparison GridGain vs. Lovefield vs. RethinkDB vs. Stardog

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Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonLovefield  Xexclude from comparisonRethinkDB  Xexclude from comparisonStardog  Xexclude from comparison
DescriptionGridGain is an in-memory computing platform, built on Apache IgniteEmbeddable relational database for web apps written in pure JavaScriptDBMS for the Web with a mechanism to push updated query results to applications in realtime.Enterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualization
Primary database modelKey-value store
Relational DBMS
Relational DBMSDocument storeGraph DBMS
RDF store
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.55
Rank#150  Overall
#26  Key-value stores
#70  Relational DBMS
Score0.33
Rank#286  Overall
#131  Relational DBMS
Score2.66
Rank#107  Overall
#20  Document stores
Score2.07
Rank#122  Overall
#11  Graph DBMS
#6  RDF stores
Websitewww.gridgain.comgoogle.github.io/­lovefieldrethinkdb.comwww.stardog.com
Technical documentationwww.gridgain.com/­docs/­index.htmlgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mdrethinkdb.com/­docsdocs.stardog.com
DeveloperGridGain Systems, Inc.GoogleThe Linux Foundation infosince July 2017Stardog-Union
Initial release2007201420092010
Current releaseGridGain 8.5.12.1.12, February 20172.4.1, August 20207.3.0, May 2020
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoApache Version 2commercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/students
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, C++, .NetJavaScriptC++Java
Server operating systemsLinux
OS X
Solaris
Windows
server-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariLinux
OS X
Windows
Linux
macOS
Windows
Data schemeyesyesschema-freeschema-free and OWL/RDFS-schema support
Typing infopredefined data types such as float or dateyesyesyes infostring, binary, float, bool, date, geometryyes
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.yesnonono infoImport/export of XML data possible
Secondary indexesyesyesyesyes infosupports real-time indexing in full-text and geospatial
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLSQL-like query language infovia JavaScript builder patternnoYes, compatible with all major SQL variants through dedicated BI/SQL Server
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
GraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
JavaScriptC infocommunity-supported driver
C# infocommunity-supported driver
C++ infocommunity-supported driver
Clojure infocommunity-supported driver
Dart infocommunity-supported driver
Erlang infocommunity-supported driver
Go infocommunity-supported driver
Haskell infocommunity-supported driver
Java infoofficial driver
JavaScript (Node.js) infoofficial driver
Lisp infocommunity-supported driver
Lua infocommunity-supported driver
Objective-C infocommunity-supported driver
Perl infocommunity-supported driver
PHP infocommunity-supported driver
Python infoofficial driver
Ruby infoofficial driver
Scala infocommunity-supported driver
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)nouser defined functions and aggregates, HTTP Server extensions in Java
Triggersyes (cache interceptors and events)Using read-only observersClient-side triggers through changefeedsyes infovia event handlers
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding inforange basednone
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)noneSource-replica replicationMulti-source replication in HA-Cluster
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)noyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency in HA-Cluster
Foreign keys infoReferential integritynoyesnoyes inforelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDAtomic single-document operationsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMVCC basedyes
Durability infoSupport for making data persistentyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infousing MemoryDBnoyes
User concepts infoAccess controlSecurity Hooks for custom implementationsnoyes infousers and table-level permissionsAccess rights for users and roles

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GridGainLovefieldRethinkDBStardog
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