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DBMS > InterSystems Caché vs. Microsoft Azure AI Search vs. NSDb vs. SAP Adaptive Server vs. Spark SQL

System Properties Comparison InterSystems Caché vs. Microsoft Azure AI Search vs. NSDb vs. SAP Adaptive Server vs. Spark SQL

Editorial information provided by DB-Engines
NameInterSystems Caché  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonNSDb  Xexclude from comparisonSAP Adaptive Server infoformer name: Sybase ASE  Xexclude from comparisonSpark SQL  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 serverSearch-as-a-service for web and mobile app developmentScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesThe SAP (Sybase) Adaptive Server Enterprise (ASE) is an enterprise-class RDBMSSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelKey-value store
Object oriented DBMS
Relational DBMS
Search engineTime Series DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument storeVector DBMSSpatial DBMS infowith Boeing's Spatial Query Server
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.59
Rank#63  Overall
#7  Search engines
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score36.31
Rank#25  Overall
#17  Relational DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Websitewww.intersystems.com/­products/­cacheazure.microsoft.com/­en-us/­services/­searchnsdb.iowww.sap.com/­products/­technology-platform/­sybase-ase.htmlspark.apache.org/­sql
Technical documentationdocs.intersystems.comlearn.microsoft.com/­en-us/­azure/­searchnsdb.io/­Architecturehelp.sap.com/­docs/­SAP_ASEspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperInterSystemsMicrosoftSAP, SybaseApache Software Foundation
Initial release19972015201719872014
Current release2018.1.4, May 2020V116.03.5.0 ( 2.13), September 2023
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2.0commercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, ScalaC and C++Scala
Server operating systemsAIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
hostedLinux
macOS
AIX
HP-UX
Linux
Solaris
Unix
Windows
Linux
OS X
Windows
Data schemedepending on used data modelyesyesyes
Typing infopredefined data types such as float or dateyesyesyes: int, bigint, decimal, stringyesyes
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.yesnononono
Secondary indexesyesyesall fields are automatically indexedyesno
SQL infoSupport of SQLyesnoSQL-like query languageyesSQL-like DML and DDL statements
APIs and other access methods.NET Client API
JDBC
ODBC
RESTful HTTP API
RESTful HTTP APIgRPC
HTTP REST
WebSocket
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
JDBC
ODBC
Supported programming languagesC#
C++
Java
C#
Java
JavaScript
Python
Java
Scala
C
C++
Cobol
Java
Java
Perl
PHP
Python
Java
Python
R
Scala
Server-side scripts infoStored proceduresyesnonoJava and Transact-SQLno
Triggersyesnoyesno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoImplicit feature of the cloud serviceShardinghorizontal partitioningyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes infoImplicit feature of the cloud serviceMulti-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesUsing Apache Luceneyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlAccess rights for users, groups and rolesyes infousing Azure authenticationfine grained access rights according to SQL-standardno

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More resources
InterSystems CachéMicrosoft Azure AI SearchNSDbSAP Adaptive Server infoformer name: Sybase ASESpark SQL
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