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DBMS > InterSystems Caché vs. Microsoft Azure Data Explorer vs. ObjectBox vs. PostgreSQL

System Properties Comparison InterSystems Caché vs. Microsoft Azure Data Explorer vs. ObjectBox vs. PostgreSQL

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Editorial information provided by DB-Engines
NameInterSystems Caché  Xexclude from comparisonMicrosoft Azure Data Explorer  Xexclude from comparisonObjectBox  Xexclude from comparisonPostgreSQL  Xexclude from comparison
Caché is a deprecated database engine which is substituted with InterSystems IRIS. It therefore is removed from the DB-Engines Ranking.
DescriptionA multi-model DBMS and application serverFully managed big data interactive analytics platformLightweight, fast on-device database for IoT, Mobile and Embedded devices, persisting and synchronising objects and vectorsWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQL
Primary database modelKey-value store
Object oriented DBMS
Relational DBMS
Relational DBMS infocolumn orientedObject oriented DBMS
Vector DBMS
Relational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.
Secondary database modelsDocument storeDocument 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
Time Series 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
Score3.28
Rank#83  Overall
#45  Relational DBMS
Score1.08
Rank#179  Overall
#6  Object oriented DBMS
#9  Vector DBMS
Score644.36
Rank#4  Overall
#4  Relational DBMS
Websitewww.intersystems.com/­products/­cacheazure.microsoft.com/­services/­data-explorergithub.com/­objectbox
objectbox.io
www.postgresql.org
Technical documentationdocs.intersystems.comdocs.microsoft.com/­en-us/­azure/­data-explorerdocs.objectbox.iowww.postgresql.org/­docs
DeveloperInterSystemsMicrosoftObjectBox LimitedPostgreSQL Global Development Group infowww.postgresql.org/­developer
Initial release1997201920171989 info1989: Postgres, 1996: PostgreSQL
Current release2018.1.4, May 2020cloud service with continuous releases4.0 (May 2024)16.4, August 2024
License infoCommercial or Open SourcecommercialcommercialBindings are released under Apache 2.0 infoApache License 2.0Open Source infoBSD
Cloud-based only infoOnly available as a cloud servicenoyesnono
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 languageC and C++C
Server operating systemsAIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
hostedAndroid
Any POSIX system
Docker
iOS
Linux
macOS
QNX
Windows
FreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Data schemedepending on used data modelFixed schema with schema-less datatypes (dynamic)yesyes
Typing infopredefined data types such as float or dateyesyes infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-typesyes, plus "flex" map-like typesyes
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.yesyesnoyes infospecific XML-type available, but no XML query functionality.
Secondary indexesyesall fields are automatically indexedyesyes
SQL infoSupport of SQLyesKusto Query Language (KQL), SQL subsetnoyes infostandard with numerous extensions
APIs and other access methods.NET Client API
JDBC
ODBC
RESTful HTTP API
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
Proprietary native APIADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesC#
C++
Java
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
C
C++
Dart (Flutter)
Go
Java
Kotlin
Python
Swift
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresyesYes, possible languages: KQL, Python, Rnouser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.
Triggersyesyes infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicynoyes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoImplicit feature of the cloud servicenonepartitioning by range, list and (since PostgreSQL 11) by hash
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Data sync between devices allowing occasional connected databases to work completely offlineSource-replica replication infoother methods possible by using 3rd party extensions
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoSpark connector (open source): github.com/­Azure/­azure-kusto-sparknono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.yesnonono
User concepts infoAccess controlAccess rights for users, groups and rolesAzure Active Directory Authenticationyesfine grained access rights according to SQL-standard
More information provided by the system vendor
InterSystems CachéMicrosoft Azure Data ExplorerObjectBoxPostgreSQL
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