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DBMS > Microsoft Azure AI Search vs. NSDb vs. Spark SQL vs. TimesTen vs. Warp 10

System Properties Comparison Microsoft Azure AI Search vs. NSDb vs. Spark SQL vs. TimesTen vs. Warp 10

Editorial information provided by DB-Engines
NameMicrosoft Azure AI Search  Xexclude from comparisonNSDb  Xexclude from comparisonSpark SQL  Xexclude from comparisonTimesTen  Xexclude from comparisonWarp 10  Xexclude from comparison
DescriptionSearch-as-a-service for web and mobile app developmentScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesSpark SQL is a component on top of 'Spark Core' for structured data processingIn-Memory RDBMS compatible to OracleTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelSearch engineTime Series DBMSRelational DBMSRelational DBMSTime Series DBMS
Secondary database modelsVector DBMS
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
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score1.31
Rank#163  Overall
#74  Relational DBMS
Score0.07
Rank#349  Overall
#32  Time Series DBMS
Websiteazure.microsoft.com/­en-us/­services/­searchnsdb.iospark.apache.org/­sqlwww.oracle.com/­database/­technologies/­related/­timesten.htmlwww.warp10.io
Technical documentationlearn.microsoft.com/­en-us/­azure/­searchnsdb.io/­Architecturespark.apache.org/­docs/­latest/­sql-programming-guide.htmldocs.oracle.com/­database/­timesten-18.1www.warp10.io/­content/­02_Getting_started
DeveloperMicrosoftApache Software FoundationOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005SenX
Initial release20152017201419982015
Current releaseV13.5.0 ( 2.13), September 202311 Release 2 (11.2.2.8.0)
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoApache 2.0commercialOpen Source infoApache License 2.0
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, ScalaScalaJava
Server operating systemshostedLinux
macOS
Linux
OS X
Windows
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Linux
OS X
Windows
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyes: int, bigint, decimal, stringyesyesyes
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.nonononono
Secondary indexesyesall fields are automatically indexednoyesno
SQL infoSupport of SQLnoSQL-like query languageSQL-like DML and DDL statementsyesno
APIs and other access methodsRESTful HTTP APIgRPC
HTTP REST
WebSocket
JDBC
ODBC
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
HTTP API
Jupyter
WebSocket
Supported programming languagesC#
Java
JavaScript
Python
Java
Scala
Java
Python
R
Scala
C
C++
Java
PL/SQL
Server-side scripts infoStored proceduresnononoPL/SQLyes infoWarpScript
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceShardingyes, utilizing Spark CorenoneSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud servicenoneMulti-source replication
Source-replica replication
selectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency infobased on HBase
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesUsing Apache Luceneyesyes infoby means of logfiles and checkpointsyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesyes
User concepts infoAccess controlyes infousing Azure authenticationnofine grained access rights according to SQL-standardMandatory use of cryptographic tokens, containing fine-grained authorizations

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More resources
Microsoft Azure AI SearchNSDbSpark SQLTimesTenWarp 10
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