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DBMS > GreptimeDB vs. ITTIA vs. Microsoft Azure AI Search vs. PostgreSQL

System Properties Comparison GreptimeDB vs. ITTIA vs. Microsoft Azure AI Search vs. PostgreSQL

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Editorial information provided by DB-Engines
NameGreptimeDB  Xexclude from comparisonITTIA  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonPostgreSQL  Xexclude from comparison
DescriptionAn open source Time Series DBMS built for increased scalability, high performance and efficiencyEdge Time Series DBMS with Real-Time Stream ProcessingSearch-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 modelTime Series DBMSTime Series 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 modelsRelational DBMSVector 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
Score0.09
Rank#343  Overall
#31  Time Series DBMS
Score0.36
Rank#272  Overall
#22  Time Series DBMS
Score5.75
Rank#58  Overall
#7  Search engines
Score644.36
Rank#4  Overall
#4  Relational DBMS
Websitegreptime.comwww.ittia.comazure.microsoft.com/­en-us/­services/­searchwww.postgresql.org
Technical documentationdocs.greptime.comlearn.microsoft.com/­en-us/­azure/­searchwww.postgresql.org/­docs
DeveloperGreptime Inc.ITTIA L.L.C.MicrosoftPostgreSQL Global Development Group infowww.postgresql.org/­developer
Initial release2022200720151989 info1989: Postgres, 1996: PostgreSQL
Current release8.7V116.4, August 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercialOpen Source infoBSD
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
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 languageRustC and C++C
Server operating systemsAndroid
Docker
FreeBSD
Linux
macOS
Windows
Linux
Windows
hostedFreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Data schemeschema-free, schema definition possibleFixed schemayesyes
Typing infopredefined data types such as float or dateyesFloat/Blob/Integer/String/Unicode/Date/Time/Timestamp/Intervalyesyes
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.nononoyes infospecific XML-type available, but no XML query functionality.
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyesyesnoyes infostandard with numerous extensions
APIs and other access methodsgRPC
HTTP API
JDBC
JDBC
ODBC
RESTful HTTP API
WebSocket
RESTful HTTP APIADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesC++
Erlang
Go
Java
JavaScript
C
C++
JavaScript (Node.js)
Python
C#
Java
JavaScript
Python
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresPythonyesnouser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoImplicit feature of the cloud servicepartitioning by range, list and (since PostgreSQL 11) by hash
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes 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 methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnoACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlSimple rights management via user accountsDatabase file passwordsyes infousing Azure authenticationfine grained access rights according to SQL-standard
More information provided by the system vendor
GreptimeDBITTIAMicrosoft Azure AI SearchPostgreSQL
Specific characteristicsGreptimeDB is a SQL & Python-enabled timeseries database system built from scratch...
» more
Competitive advantages- Inherits advantages of Rust, such as excellent performance, memory safe, resource...
» more
Typical application scenariosFor IoT industries, GreptimeDB can seamless integrate with message queues and other...
» more
Key customersGreptime's clients span multiple sectors including IoT, connected vehicles, and energy...
» more
Market metricsGreptimeDB has garnered global recognition by topping GitHub trends following its...
» more
Licensing and pricing modelsGreptimeDB: open source, distributed, cloud-native TSDB; supports Hybrid Time-series...
» more

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More resources
GreptimeDBITTIAMicrosoft Azure AI SearchPostgreSQL
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