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DBMS > EsgynDB vs. GreptimeDB vs. MariaDB vs. Microsoft Azure AI Search vs. PostgreSQL

System Properties Comparison EsgynDB vs. GreptimeDB vs. MariaDB vs. Microsoft Azure AI Search vs. PostgreSQL

Editorial information provided by DB-Engines
NameEsgynDB  Xexclude from comparisonGreptimeDB  Xexclude from comparisonMariaDB  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonPostgreSQL  Xexclude from comparison
DescriptionEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionAn open source Time Series DBMS built for increased scalability, high performance and efficiencyMySQL application compatible open source RDBMS, enhanced with high availability, security, interoperability and performance capabilities. MariaDB ColumnStore provides a column-oriented storage engine and MariaDB Xpand supports distributed SQL.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 modelRelational DBMSTime Series 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 modelsDocument store
Graph DBMS infowith OQGraph storage engine
Spatial DBMS
Vector 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
Score0.06
Rank#352  Overall
#33  Time Series DBMS
Score93.21
Rank#13  Overall
#9  Relational DBMS
Score5.59
Rank#63  Overall
#7  Search engines
Score645.54
Rank#4  Overall
#4  Relational DBMS
Websitewww.esgyn.cngreptime.commariadb.com infoSite of MariaDB Corporation
mariadb.org infoSite of MariaDB Foundation
azure.microsoft.com/­en-us/­services/­searchwww.postgresql.org
Technical documentationdocs.greptime.commariadb.com/­kb/­en/­librarylearn.microsoft.com/­en-us/­azure/­searchwww.postgresql.org/­docs
DeveloperEsgynGreptime Inc.MariaDB Corporation Ab (MariaDB Enterprise),
MariaDB Foundation (community MariaDB Server) infoThe lead developer Monty Widenius is the original author of MySQL
MicrosoftPostgreSQL Global Development Group infowww.postgresql.org/­developer
Initial release201520222009 infoFork of MySQL, which was first released in 199520151989 info1989: Postgres, 1996: PostgreSQL
Current release11.3.2, February 2024V116.3, May 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoGPL version 2, commercial enterprise subscription availablecommercialOpen Source infoBSD
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
STACKIT MariaDB offers MariaDB in a fully managed version in enterprise grade, 100% GDPR-compliant.
  • Aiven for PostgreSQL: Fully managed PostgreSQL for developers with 70+ extensions and flexible orchestration tools.
  • PostgreSQL Flex @ STACKIT offers managed PostgreSQL Instances with adjustable CPU, RAM, storage amount and speed and several extensions available, in enterprise grade to perfectly match all application requirements. All 100% GDPR-compliant.
Implementation languageC++, JavaRustC and C++C
Server operating systemsLinuxAndroid
Docker
FreeBSD
Linux
macOS
Windows
FreeBSD
Linux
Solaris
Windows infoColumnStore storage engine not available on Windows
hostedFreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Data schemeyesschema-free, schema definition possibleyes infoDynamic columns are supportedyesyes
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.nonoyesnoyes infospecific XML-type available, but no XML query functionality.
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLyesyesyes infowith proprietary extensionsnoyes infostandard with numerous extensions
APIs and other access methodsADO.NET
JDBC
ODBC
gRPC
HTTP API
JDBC
ADO.NET
JDBC
ODBC
Proprietary native API
RESTful HTTP APIADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesAll languages supporting JDBC/ODBC/ADO.NetC++
Erlang
Go
Java
JavaScript
Ada
C
C#
C++
D
Eiffel
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C#
Java
JavaScript
Python
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresJava Stored ProceduresPythonyes infoPL/SQL compatibility added with version 10.3nouser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.
Triggersnoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingseveral options for horizontal partitioning and ShardingSharding infoImplicit feature of the cloud servicepartitioning by range, list and (since PostgreSQL 11) by hash
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication between multi datacentersMulti-source replication
Source-replica replication
yes 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 methodsyesnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyes infonot for MyISAM storage enginenoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infonot for MyISAM storage enginenoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infonot for in-memory storage engineyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infowith MEMORY storage enginenono
User concepts infoAccess controlfine grained access rights according to SQL-standardSimple rights management via user accountsfine grained access rights according to SQL-standardyes infousing Azure authenticationfine grained access rights according to SQL-standard
More information provided by the system vendor
EsgynDBGreptimeDBMariaDBMicrosoft Azure AI SearchPostgreSQL
Specific characteristicsGreptimeDB is a SQL & Python-enabled timeseries database system built from scratch...
» more
MariaDB is the most powerful open source relational database – modern SQL and JSON...
» more
Competitive advantages- Inherits advantages of Rust, such as excellent performance, memory safe, resource...
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MariaDB Servers have many features unavailable in other open source relational databases....
» more
Typical application scenariosFor IoT industries, GreptimeDB can seamless integrate with message queues and other...
» more
Web, SaaS and Cloud operational applications that require high availability, scalability...
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Key customersGreptime's clients span multiple sectors including IoT, connected vehicles, and energy...
» more
Deutsche Bank, DBS Bank, Nasdaq, Red Hat, ServiceNow, Verizon and Walgreens Featured...
» more
Market metricsGreptimeDB has garnered global recognition by topping GitHub trends following its...
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MariaDB is the default database in the LAMP stack supplied by Red Hat and SUSE Linux,...
» more
Licensing and pricing modelsGreptimeDB: open source, distributed, cloud-native TSDB; supports Hybrid Time-series...
» more
MariaDB plc subscriptions cover our free, open source database, Community Server,...
» more

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EsgynDBGreptimeDBMariaDBMicrosoft Azure AI SearchPostgreSQL
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