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DBMS > AnzoGraph DB vs. EventStoreDB vs. MarkLogic vs. Microsoft Azure Table Storage vs. TinkerGraph

System Properties Comparison AnzoGraph DB vs. EventStoreDB vs. MarkLogic vs. Microsoft Azure Table Storage vs. TinkerGraph

Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonEventStoreDB  Xexclude from comparisonMarkLogic  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonTinkerGraph  Xexclude from comparison
DescriptionScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationIndustrial-strength, open-source database solution built from the ground up for event sourcing.Operational and transactional Enterprise NoSQL databaseA Wide Column Store for rapid development using massive semi-structured datasetsA lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 API
Primary database modelGraph DBMS
RDF store
Event StoreDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Wide column storeGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.23
Rank#307  Overall
#24  Graph DBMS
#13  RDF stores
Score1.10
Rank#179  Overall
#1  Event Stores
Score5.92
Rank#58  Overall
#10  Document stores
#1  Native XML DBMS
#1  RDF stores
#6  Search engines
Score4.48
Rank#75  Overall
#6  Wide column stores
Score0.08
Rank#348  Overall
#35  Graph DBMS
Websitecambridgesemantics.com/­anzographwww.eventstore.comwww.marklogic.comazure.microsoft.com/­en-us/­services/­storage/­tablestinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlin
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmdevelopers.eventstore.comdocs.marklogic.com
DeveloperCambridge SemanticsEvent Store LimitedMarkLogic Corp.Microsoft
Initial release20182012200120122009
Current release2.3, January 202121.2, February 202111.0, December 2022
License infoCommercial or Open Sourcecommercial infofree trial version availableOpen Sourcecommercial inforestricted free version is availablecommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++Java
Server operating systemsLinuxLinux
Windows
Linux
OS X
Windows
hosted
Data schemeSchema-free and OWL/RDFS-schema supportschema-free infoSchema can be enforcedschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyes
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.noyesnono
Secondary indexesnoyesnono
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.yes infoSQL92nono
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
Java API
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
RESTful HTTP APITinkerPop 3
Supported programming languagesC++
Java
Python
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Groovy
Java
Server-side scripts infoStored proceduresuser defined functions and aggregatesyes infovia XQuery or JavaScriptnono
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingShardingSharding infoImplicit feature of the cloud servicenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-Clusteryesyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.none
MapReduce infoOffers an API for user-defined Map/Reduce methodsKerberos/HDFS data loadingyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in MPP-ClusterImmediate ConsistencyImmediate Consistencynone
Foreign keys infoReferential integrityno infonot needed in graphsnonoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infocan act as a resource manager in an XA/JTA transactionoptimistic lockingno
Concurrency infoSupport for concurrent manipulation of datayesyesyesno
Durability infoSupport for making data persistentyesyesyesoptional
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes, with Range Indexesnoyes
User concepts infoAccess controlAccess rights for users and rolesRole-based access control at the document and subdocument levelsAccess rights based on private key authentication or shared access signaturesno

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More resources
AnzoGraph DBEventStoreDBMarkLogicMicrosoft Azure Table StorageTinkerGraph
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