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DBMS > Ingres vs. Microsoft Azure Search vs. NSDb vs. SAP Adaptive Server vs. Spark SQL

System Properties Comparison Ingres vs. Microsoft Azure Search vs. NSDb vs. SAP Adaptive Server vs. Spark SQL

Editorial information provided by DB-Engines
NameIngres  Xexclude from comparisonMicrosoft Azure Search  Xexclude from comparisonNSDb  Xexclude from comparisonSAP Adaptive Server infoformer name: Sybase ASE  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionWell established RDBMSSearch-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 modelRelational DBMSSearch engineTime Series DBMSRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMS infowith Boeing's Spatial Query Server
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score6.19
Rank#70  Overall
#38  Relational DBMS
Score7.75
Rank#58  Overall
#7  Search engines
Score0.00
Rank#357  Overall
#33  Time Series DBMS
Score44.82
Rank#25  Overall
#17  Relational DBMS
Score23.72
Rank#35  Overall
#21  Relational DBMS
Websitewww.actian.com/­data-management/­ingres-sql-rdbmsazure.microsoft.com/­en-us/­services/­searchnsdb.iowww.sap.com/­products/­sybase-ase.htmlspark.apache.org/­sql
Technical documentationdocs.actian.com/­ingresdocs.microsoft.com/­en-us/­azure/­searchnsdb.io/­Architecturehelp.sap.com/­viewer/­product/­SAP_ASEspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperActian CorporationMicrosoftSAP, SybaseApache Software Foundation
Initial release1974 infooriginally developed at University Berkely in early 1970s2015201719872014
Current release11.0, April 2017V116.03.3.0, June 2022
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 languageCJava, ScalaC and C++Scala
Server operating systemsAIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
hostedLinux
macOS
AIX
HP-UX
Linux
Solaris
Unix
Windows
Linux
OS X
Windows
Data schemeyesyesyesyes
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.no infobut tools for importing/exporting data from/to XML-files availablenononono
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
proprietary protocol (OpenAPI)
RESTful HTTP APIgRPC
HTTP REST
WebSocket
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
JDBC
ODBC
Supported programming languages.Net
C#
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 nodeshorizontal partitioning infoIngres Star to access multiple databases simultaneouslySharding infoImplicit feature of the cloud serviceShardinghorizontal partitioningyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesIngres Replicatoryes 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 datayes infoMVCCyesyesyesyes
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.nonono
User concepts infoAccess controlfine grained access rights according to SQL-standardyes infousing Azure authenticationfine grained access rights according to SQL-standardno

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More resources
IngresMicrosoft Azure SearchNSDbSAP Adaptive Server infoformer name: Sybase ASESpark SQL
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