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DBMS > EDB Postgres vs. Microsoft Azure AI Search vs. Microsoft Azure Data Explorer vs. Sphinx vs. VictoriaMetrics

System Properties Comparison EDB Postgres vs. Microsoft Azure AI Search vs. Microsoft Azure Data Explorer vs. Sphinx vs. VictoriaMetrics

Editorial information provided by DB-Engines
NameEDB Postgres  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonMicrosoft Azure Data Explorer  Xexclude from comparisonSphinx  Xexclude from comparisonVictoriaMetrics  Xexclude from comparison
DescriptionThe EDB Postgres Platform is an enterprise-class data management platform based on the open source database PostgreSQL with flexible deployment options and Oracle compatibility features, complemented by tool kits for management, integration, and migration.Search-as-a-service for web and mobile app developmentFully managed big data interactive analytics platformOpen source search engine for searching in data from different sources, e.g. relational databasesA fast, cost-effective and scalable Time Series DBMS and monitoring solution
Primary database modelRelational DBMSSearch engineRelational DBMS infocolumn orientedSearch engineTime Series DBMS
Secondary database modelsDocument store
Spatial DBMS
Vector DBMSDocument store infoIf a column is of type dynamic docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-types/­dynamic then it's possible to add arbitrary JSON documents in this cell
Event Store infothis is the general usage pattern at Microsoft. Billing, Logs, Telemetry events are stored in ADX and the state of an individual entity is defined by the arg_max(timestamps)
Spatial DBMS
Search engine infosupport for complex search expressions docs.microsoft.com/­en-us/­azure/­kusto/­query/­parseoperator FTS, Geospatial docs.microsoft.com/­en-us/­azure/­kusto/­query/­geo-point-to-geohash-function distributed search -> ADX acts as a distributed search engine
Time Series DBMS infosee docs.microsoft.com/­en-us/­azure/­data-explorer/­time-series-analysis
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.90
Rank#135  Overall
#63  Relational DBMS
Score5.59
Rank#63  Overall
#7  Search engines
Score4.38
Rank#77  Overall
#41  Relational DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Score1.32
Rank#162  Overall
#14  Time Series DBMS
Websitewww.enterprisedb.comazure.microsoft.com/­en-us/­services/­searchazure.microsoft.com/­services/­data-explorersphinxsearch.comvictoriametrics.com
Technical documentationwww.enterprisedb.com/­docslearn.microsoft.com/­en-us/­azure/­searchdocs.microsoft.com/­en-us/­azure/­data-explorersphinxsearch.com/­docsdocs.victoriametrics.com
github.com/­VictoriaMetrics/­VictoriaMetrics/­wiki
DeveloperEnterpriseDBMicrosoftMicrosoftSphinx Technologies Inc.VictoriaMetrics
Initial release20052015201920012018
Current release14, December 2021V1cloud service with continuous releases3.5.1, February 2023v1.91, May 2023
License infoCommercial or Open Sourcecommercial infoBSD for PostgreSQL-componentscommercialcommercialOpen Source infoGPL version 2, commercial licence availableOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenoyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC++Go
Server operating systemsLinux
Windows
hostedhostedFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
FreeBSD
Linux
macOS
OpenBSD
Data schemeyesyesFixed schema with schema-less datatypes (dynamic)yes
Typing infopredefined data types such as float or dateyesyesyes infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-typesno
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.yes infospecific XML-type available, but no XML query functionality.noyesno
Secondary indexesyesyesall fields are automatically indexedyes infofull-text index on all search fields
SQL infoSupport of SQLyes infostandard with numerous extensionsnoKusto Query Language (KQL), SQL subsetSQL-like query language (SphinxQL)no
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
RESTful HTTP APIMicrosoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
Proprietary protocolGraphite protocol
InfluxDB Line Protocol
OpenTSDB
Prometheus Query API
Prometheus Remote Read/Write
Supported programming languages.Net
C
C++
Delphi
Java
Perl
PHP
Python
Tcl
C#
Java
JavaScript
Python
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.noYes, possible languages: KQL, Python, Rnono
Triggersyesnoyes infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicynono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning infoby hash, list or rangeSharding infoImplicit feature of the cloud serviceSharding infoImplicit feature of the cloud serviceSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyes infoImplicit feature of the cloud serviceyes infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.noneSynchronous replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoSpark connector (open source): github.com/­Azure/­azure-kusto-sparknono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Eventual Consistency
Foreign keys infoReferential integrityyesnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnononono
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoThe original contents of fields are not stored in the Sphinx index.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nononono
User concepts infoAccess controlfine grained access rights according to SQL-standardyes infousing Azure authenticationAzure Active Directory Authenticationno

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More resources
EDB PostgresMicrosoft Azure AI SearchMicrosoft Azure Data ExplorerSphinxVictoriaMetrics
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