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DBMS > DataFS vs. GridGain vs. Quasardb vs. Solr vs. TinkerGraph

System Properties Comparison DataFS vs. GridGain vs. Quasardb vs. Solr vs. TinkerGraph

Editorial information provided by DB-Engines
NameDataFS  Xexclude from comparisonGridGain  Xexclude from comparisonQuasardb  Xexclude from comparisonSolr  Xexclude from comparisonTinkerGraph  Xexclude from comparison
DescriptionAll data is stored inside objects which are linked by so-called link attributes. Objects consist of classes which can be extended and de-extended at runtime. Graphs can be defined with a struct.GridGain is an in-memory computing platform, built on Apache IgniteDistributed, high-performance timeseries databaseA widely used distributed, scalable search engine based on Apache LuceneA lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 API
Primary database modelObject oriented DBMSKey-value store
Relational DBMS
Time Series DBMSSearch engineGraph DBMS
Secondary database modelsGraph DBMSSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.06
Rank#354  Overall
#15  Object oriented DBMS
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Score42.91
Rank#24  Overall
#3  Search engines
Score0.08
Rank#348  Overall
#35  Graph DBMS
Websitenewdatabase.comwww.gridgain.comquasar.aisolr.apache.orgtinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlin
Technical documentationdev.mobiland.com/­Overview.xspwww.gridgain.com/­docs/­index.htmldoc.quasar.ai/­mastersolr.apache.org/­resources.html
DeveloperMobiland AGGridGain Systems, Inc.quasardbApache Software Foundation
Initial release20182007200920062009
Current release1.1.263, October 2022GridGain 8.5.13.14.1, January 20249.6.0, April 2024
License infoCommercial or Open Sourcecommercialcommercialcommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoApache Version 2Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, C++, .NetC++JavaJava
Server operating systemsWindowsLinux
OS X
Solaris
Windows
BSD
Linux
OS X
Windows
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeClasses, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)yesschema-freeyes infoDynamic Fields enables on-the-fly addition of new fieldsschema-free
Typing infopredefined data types such as float or dateyesyesyes infointeger and binaryyes infosupports customizable data types and automatic typingyes
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.noyesnoyesno
Secondary indexesnoyesyes infowith tagsyes infoAll search fields are automatically indexedno
SQL infoSupport of SQLnoANSI-99 for query and DML statements, subset of DDLSQL-like query languageSolr Parallel SQL Interfaceno
APIs and other access methods.NET Client API
Proprietary client DLL
WinRT client
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
HTTP APIJava API
RESTful HTTP/JSON API
TinkerPop 3
Supported programming languages.Net
C
C#
C++
VB.Net
C#
C++
Java
PHP
Python
Ruby
Scala
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Groovy
Java
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)noJava pluginsno
Triggersno, except callback-events from server when changes happenedyes (cache interceptors and events)noyes infoUser configurable commands triggered on index changesno
Partitioning methods infoMethods for storing different data on different nodesProprietary Sharding systemShardingSharding infoconsistent hashingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)Source-replica replication with selectable replication factoryesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)with Hadoop integrationspark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistencynone
Foreign keys infoReferential integrityyesnononoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDoptimistic lockingno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesno
Durability infoSupport for making data persistentyesyesyes infoby using LevelDByesoptional
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infoTransient modeyesyes
User concepts infoAccess controlWindows-ProfileSecurity Hooks for custom implementationsCryptographically strong user authentication and audit trailyesno

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More resources
DataFSGridGainQuasardbSolrTinkerGraph
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