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DBMS > gStore vs. Lovefield vs. RavenDB vs. SiriDB vs. Solr

System Properties Comparison gStore vs. Lovefield vs. RavenDB vs. SiriDB vs. Solr

Editorial information provided by DB-Engines
NamegStore  Xexclude from comparisonLovefield  Xexclude from comparisonRavenDB  Xexclude from comparisonSiriDB  Xexclude from comparisonSolr  Xexclude from comparison
DescriptionA native Graph DBMS to store and maintain very large RDF datasets.Embeddable relational database for web apps written in pure JavaScriptOpen Source Operational and Transactional Enterprise NoSQL Document DatabaseOpen Source Time Series DBMSA widely used distributed, scalable search engine based on Apache Lucene
Primary database modelGraph DBMS
RDF store
Relational DBMSDocument storeTime Series DBMSSearch engine
Secondary database modelsGraph DBMS
Spatial DBMS
Time Series DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.14
Rank#342  Overall
#34  Graph DBMS
#16  RDF stores
Score0.33
Rank#286  Overall
#131  Relational DBMS
Score2.84
Rank#101  Overall
#18  Document stores
Score0.07
Rank#378  Overall
#42  Time Series DBMS
Score41.02
Rank#24  Overall
#3  Search engines
Websiteen.gstore.cngoogle.github.io/­lovefieldravendb.netsiridb.comsolr.apache.org
Technical documentationen.gstore.cn/­#/­enDocsgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mdravendb.net/­docsdocs.siridb.comsolr.apache.org/­resources.html
DeveloperGoogleHibernating RhinosCesbitApache Software Foundation
Initial release20162014201020172006
Current release1.2, November 20232.1.12, February 20175.4, July 20229.6.1, May 2024
License infoCommercial or Open SourceOpen Source infoBSDOpen Source infoApache 2.0Open Source infoAGPL version 3, commercial license availableOpen Source infoMIT LicenseOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++JavaScriptC#CJava
Server operating systemsLinuxserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariLinux
macOS
Raspberry Pi
Windows
LinuxAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeschema-free and OWL/RDFS-schema supportyesschema-freeyesyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or dateyesyesnoyes infoNumeric datayes infosupports customizable data types and automatic typing
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.nononoyes
Secondary indexesyesyesyesyes infoAll search fields are automatically indexed
SQL infoSupport of SQLnoSQL-like query language infovia JavaScript builder patternSQL-like query language (RQL)noSolr Parallel SQL Interface
APIs and other access methodsHTTP API
SPARQL 1.1
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
HTTP APIJava API
RESTful HTTP/JSON API
Supported programming languagesC++
Java
JavaScript (Node.js)
PHP
Python
JavaScript.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
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
Server-side scripts infoStored proceduresyesnoyesnoJava plugins
TriggersUsing read-only observersyesnoyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replicationyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemDefault ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.Eventual Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDACID, Cluster-wide transaction availablenooptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infousing MemoryDByesyes
User concepts infoAccess controlUsers, roles and permissions, Role-Based Access Control (RBAC) supportednoAuthorization levels configured per client per databasesimple rights management via user accountsyes

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More resources
gStoreLovefieldRavenDBSiriDBSolr
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