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DBMS > EsgynDB vs. Hypertable vs. Microsoft Azure AI Search vs. PostgreSQL vs. Tkrzw

System Properties Comparison EsgynDB vs. Hypertable vs. Microsoft Azure AI Search vs. PostgreSQL vs. Tkrzw

Editorial information provided by DB-Engines
NameEsgynDB  Xexclude from comparisonHypertable  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonPostgreSQL  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionAn open source BigTable implementation based on distributed file systems such as HadoopSearch-as-a-service for web and mobile app developmentWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQLA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet
Primary database modelRelational DBMSWide column storeSearch engineRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.Key-value store
Secondary database modelsVector 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
Score5.59
Rank#63  Overall
#7  Search engines
Score645.54
Rank#4  Overall
#4  Relational DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
Websitewww.esgyn.cnazure.microsoft.com/­en-us/­services/­searchwww.postgresql.orgdbmx.net/­tkrzw
Technical documentationlearn.microsoft.com/­en-us/­azure/­searchwww.postgresql.org/­docs
DeveloperEsgynHypertable Inc.MicrosoftPostgreSQL Global Development Group infowww.postgresql.org/­developerMikio Hirabayashi
Initial release2015200920151989 info1989: Postgres, 1996: PostgreSQL2020
Current release0.9.8.11, March 2016V116.3, May 20240.9.3, August 2020
License infoCommercial or Open SourcecommercialOpen Source infoGNU version 3. Commercial license availablecommercialOpen Source infoBSDOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++, JavaC++CC++
Server operating systemsLinuxLinux
OS X
Windows infoan inofficial Windows port is available
hostedFreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Linux
macOS
Data schemeyesschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesnoyesyesno
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.nonoyes infospecific XML-type available, but no XML query functionality.no
Secondary indexesyesrestricted infoonly exact value or prefix value scansyesyes
SQL infoSupport of SQLyesnonoyes infostandard with numerous extensionsno
APIs and other access methodsADO.NET
JDBC
ODBC
C++ API
Thrift
RESTful HTTP APIADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesAll languages supporting JDBC/ODBC/ADO.NetC++
Java
Perl
PHP
Python
Ruby
C#
Java
JavaScript
Python
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresJava Stored Proceduresnonouser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.no
Triggersnononoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoImplicit feature of the cloud servicepartitioning by range, list and (since PostgreSQL 11) by hashnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication between multi datacentersselectable replication factor on file system levelyes infoImplicit feature of the cloud serviceSource-replica replication infoother methods possible by using 3rd party extensionsnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nononoyes infousing specific database classes
User concepts infoAccess controlfine grained access rights according to SQL-standardnoyes infousing Azure authenticationfine grained access rights according to SQL-standardno

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EsgynDBHypertableMicrosoft Azure AI SearchPostgreSQLTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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