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DBMS > AllegroGraph vs. Lovefield vs. Solr vs. Vitess

System Properties Comparison AllegroGraph vs. Lovefield vs. Solr vs. Vitess

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Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonLovefield  Xexclude from comparisonSolr  Xexclude from comparisonVitess  Xexclude from comparison
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSEmbeddable relational database for web apps written in pure JavaScriptA widely used distributed, scalable search engine based on Apache LuceneScalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Vector DBMS
Relational DBMSSearch engineRelational DBMS
Secondary database modelsSpatial DBMSSpatial DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.13
Rank#179  Overall
#30  Document stores
#17  Graph DBMS
#7  RDF stores
#7  Vector DBMS
Score0.33
Rank#286  Overall
#131  Relational DBMS
Score41.02
Rank#24  Overall
#3  Search engines
Score0.88
Rank#203  Overall
#95  Relational DBMS
Websiteallegrograph.comgoogle.github.io/­lovefieldsolr.apache.orgvitess.io
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmlgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mdsolr.apache.org/­resources.htmlvitess.io/­docs
DeveloperFranz Inc.GoogleApache Software FoundationThe Linux Foundation, PlanetScale
Initial release2004201420062013
Current release8.0, December 20232.1.12, February 20179.6.1, May 202415.0.2, December 2022
License infoCommercial or Open Sourcecommercial infoLimited community edition freeOpen Source infoApache 2.0Open Source infoApache Version 2Open Source infoApache Version 2.0, commercial licenses available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScriptJavaGo
Server operating systemsLinux
OS X
Windows
server-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)Docker
Linux
macOS
Data schemeyes infoRDF schemasyesyes infoDynamic Fields enables on-the-fly addition of new fieldsyes
Typing infopredefined data types such as float or dateyesyesyes 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.no infobulk load of XML files possiblenoyes
Secondary indexesyesyesyes infoAll search fields are automatically indexedyes
SQL infoSupport of SQLSPARQL is used as query languageSQL-like query language infovia JavaScript builder patternSolr Parallel SQL Interfaceyes infowith proprietary extensions
APIs and other access methodsRESTful HTTP API
SPARQL
Java API
RESTful HTTP/JSON API
ADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
JavaScript.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresyes infoJavaScript or Common LispnoJava pluginsyes infoproprietary syntax
TriggersyesUsing read-only observersyes infoUser configurable commands triggered on index changesyes
Partitioning methods infoMethods for storing different data on different nodeswith FederationnoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
noneyesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationEventual ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integritynoyesnoyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDoptimistic lockingACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infotable locks or row locks depending on storage engine
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.noyes infousing MemoryDByesyes
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationnoyesUsers with fine-grained authorization concept infono user groups or roles
More information provided by the system vendor
AllegroGraphLovefieldSolrVitess
Specific characteristicsKnowledge Graph Platform Leader FedShard - Designed for Entity-Event Knowledge Graph...
» more
Competitive advantagesAllegroGraph is uniquely suited to support adhoc queries through SPARQL, Prolog and...
» more
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