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DBMS > Alibaba Cloud Table Store vs. EsgynDB vs. FeatureBase vs. Microsoft Azure AI Search vs. PostgreSQL

System Properties Comparison Alibaba Cloud Table Store vs. EsgynDB vs. FeatureBase vs. Microsoft Azure AI Search vs. PostgreSQL

Editorial information provided by DB-Engines
NameAlibaba Cloud Table Store  Xexclude from comparisonEsgynDB  Xexclude from comparisonFeatureBase  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonPostgreSQL  Xexclude from comparison
DescriptionA fully managed Wide Column Store for large quantities of semi-structured data with real-time accessEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionReal-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.Search-as-a-service for web and mobile app developmentWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQL
Primary database modelWide column storeRelational DBMSRelational DBMSSearch engineRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.
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
Score0.26
Rank#301  Overall
#12  Wide column stores
Score0.16
Rank#329  Overall
#146  Relational DBMS
Score0.22
Rank#309  Overall
#139  Relational DBMS
Score5.59
Rank#63  Overall
#7  Search engines
Score645.54
Rank#4  Overall
#4  Relational DBMS
Websitewww.alibabacloud.com/­product/­table-storewww.esgyn.cnwww.featurebase.comazure.microsoft.com/­en-us/­services/­searchwww.postgresql.org
Technical documentationwww.alibabacloud.com/­help/­en/­tablestoredocs.featurebase.comlearn.microsoft.com/­en-us/­azure/­searchwww.postgresql.org/­docs
DeveloperAlibabaEsgynMolecula and Pilosa Open Source ContributorsMicrosoftPostgreSQL Global Development Group infowww.postgresql.org/­developer
Initial release20162015201720151989 info1989: Postgres, 1996: PostgreSQL
Current release2022, May 2022V116.3, May 2024
License infoCommercial or Open SourcecommercialcommercialcommercialcommercialOpen Source infoBSD
Cloud-based only infoOnly available as a cloud serviceyesnonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
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Implementation languageC++, JavaGoC
Server operating systemshostedLinuxLinux
macOS
hostedFreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Data schemeschema-freeyesyesyesyes
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 indexesnoyesnoyesyes
SQL infoSupport of SQLnoyesSQL queriesnoyes infostandard with numerous extensions
APIs and other access methodsHTTP APIADO.NET
JDBC
ODBC
gRPC
JDBC
Kafka Connector
ODBC
RESTful HTTP APIADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesJava
Python
All languages supporting JDBC/ODBC/ADO.NetJava
Python
C#
Java
JavaScript
Python
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresnoJava Stored Proceduresnouser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.
Triggersnonononoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceShardingShardingSharding infoImplicit feature of the cloud servicepartitioning by range, list and (since PostgreSQL 11) by hash
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceMulti-source replication between multi datacentersyesyes infoImplicit feature of the cloud serviceSource-replica replication infoother methods possible by using 3rd party extensions
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsACIDyesnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes, using Linux fsyncyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesnono
User concepts infoAccess controlAccess rights based on subaccounts and tokensfine grained access rights according to SQL-standardyes infousing Azure authenticationfine grained access rights according to SQL-standard

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More resources
Alibaba Cloud Table StoreEsgynDBFeatureBaseMicrosoft Azure AI SearchPostgreSQL
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