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DBMS > AnzoGraph DB vs. OrigoDB vs. Solr vs. TerarkDB vs. VelocityDB

System Properties Comparison AnzoGraph DB vs. OrigoDB vs. Solr vs. TerarkDB vs. VelocityDB

Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonOrigoDB  Xexclude from comparisonSolr  Xexclude from comparisonTerarkDB  Xexclude from comparisonVelocityDB  Xexclude from comparison
DescriptionScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationA fully ACID in-memory object graph databaseA widely used distributed, scalable search engine based on Apache LuceneA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDBA .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)
Primary database modelGraph DBMS
RDF store
Document store
Object oriented DBMS
Search engineKey-value storeGraph DBMS
Object oriented DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.29
Rank#303  Overall
#25  Graph DBMS
#14  RDF stores
Score0.06
Rank#380  Overall
#50  Document stores
#18  Object oriented DBMS
Score41.02
Rank#24  Overall
#3  Search engines
Score0.08
Rank#367  Overall
#56  Key-value stores
Score0.11
Rank#354  Overall
#37  Graph DBMS
#15  Object oriented DBMS
Websitecambridgesemantics.com/­anzographorigodb.comsolr.apache.orggithub.com/­bytedance/­terarkdbvelocitydb.com
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmorigodb.com/­docssolr.apache.org/­resources.htmlbytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKcvelocitydb.com/­UserGuide
DeveloperCambridge SemanticsRobert Friberg et alApache Software FoundationByteDance, originally TerarkVelocityDB Inc
Initial release20182009 infounder the name LiveDB200620162011
Current release2.3, January 20219.6.1, May 20247.x
License infoCommercial or Open Sourcecommercial infofree trial version availableOpen SourceOpen Source infoApache Version 2commercial inforestricted open source version availablecommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC#JavaC++C#
Server operating systemsLinuxLinux
Windows
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)Any that supports .NET
Data schemeSchema-free and OWL/RDFS-schema supportyesyes infoDynamic Fields enables on-the-fly addition of new fieldsschema-freeyes
Typing infopredefined data types such as float or dateUser defined using .NET types and collectionsyes infosupports customizable data types and automatic typingnoyes
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.nono infocan be achieved using .NETyesnono
Secondary indexesnoyesyes infoAll search fields are automatically indexednoyes
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.noSolr Parallel SQL Interfacenono
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
.NET Client API
HTTP API
LINQ
Java API
RESTful HTTP/JSON API
C++ API
Java API
.Net
Supported programming languagesC++
Java
Python
.Net.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
C++
Java
.Net
Server-side scripts infoStored proceduresuser defined functions and aggregatesyesJava pluginsnono
Triggersnoyes infoDomain Eventsyes infoUser configurable commands triggered on index changesnoCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardinghorizontal partitioning infoclient side managed; servers are not synchronizedShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-ClusterSource-replica replicationyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsKerberos/HDFS data loadingnospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in MPP-ClusterEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infonot needed in graphsdepending on modelnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDoptimistic lockingnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes infoWrite ahead logyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesyesyes
User concepts infoAccess controlAccess rights for users and rolesRole based authorizationyesnoBased on Windows Authentication

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More resources
AnzoGraph DBOrigoDBSolrTerarkDBVelocityDB
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