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DBMS > EsgynDB vs. JanusGraph vs. Microsoft Azure AI Search vs. OpenMLDB vs. PostgreSQL

System Properties Comparison EsgynDB vs. JanusGraph vs. Microsoft Azure AI Search vs. OpenMLDB vs. PostgreSQL

Editorial information provided by DB-Engines
NameEsgynDB  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonOpenMLDB  Xexclude from comparisonPostgreSQL  Xexclude from comparison
DescriptionEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionA Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017Search-as-a-service for web and mobile app developmentAn open-source machine learning database that provides a feature platform for training and inferenceWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQL
Primary database modelRelational DBMSGraph DBMSSearch engineTime Series DBMSRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.
Secondary database modelsVector DBMSRelational DBMSDocument store
Graph DBMS infowith Apache Age
Spatial DBMS
Vector DBMS infowith pgvector extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.16
Rank#329  Overall
#146  Relational DBMS
Score1.94
Rank#129  Overall
#12  Graph DBMS
Score5.59
Rank#63  Overall
#7  Search engines
Score0.02
Rank#367  Overall
#37  Time Series DBMS
Score645.54
Rank#4  Overall
#4  Relational DBMS
Websitewww.esgyn.cnjanusgraph.orgazure.microsoft.com/­en-us/­services/­searchopenmldb.aiwww.postgresql.org
Technical documentationdocs.janusgraph.orglearn.microsoft.com/­en-us/­azure/­searchopenmldb.ai/­docs/­zh/­mainwww.postgresql.org/­docs
DeveloperEsgynLinux Foundation; originally developed as Titan by AureliusMicrosoft4 Paradigm Inc.PostgreSQL Global Development Group infowww.postgresql.org/­developer
Initial release20152017201520201989 info1989: Postgres, 1996: PostgreSQL
Current release0.6.3, February 2023V12024-2 February 202416.3, May 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercialOpen SourceOpen Source infoBSD
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++, JavaJavaC++, Java, ScalaC
Server operating systemsLinuxLinux
OS X
Unix
Windows
hostedLinuxFreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Data schemeyesyesyesFixed schemayes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nonononoyes infospecific XML-type available, but no XML query functionality.
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLyesnonoyesyes infostandard with numerous extensions
APIs and other access methodsADO.NET
JDBC
ODBC
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
RESTful HTTP APIJDBC
SQLAlchemy
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesAll languages supporting JDBC/ODBC/ADO.NetClojure
Java
Python
C#
Java
JavaScript
Python
C++
Go
Java
Python
Scala
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresJava Stored Proceduresyesnonouser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.
Triggersnoyesnonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)Sharding infoImplicit feature of the cloud servicehorizontal partitioningpartitioning by range, list and (since PostgreSQL 11) by hash
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication between multi datacentersyesyes infoImplicit feature of the cloud serviceSource-replica replicationSource-replica replication infoother methods possible by using 3rd party extensions
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes infovia Faunus, a graph analytics enginenono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyes infoRelationships in graphsnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardUser authentification and security via Rexster Graph Serveryes infousing Azure authenticationfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
EsgynDBJanusGraph infosuccessor of TitanMicrosoft Azure AI SearchOpenMLDBPostgreSQL
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