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DBMS > JaguarDB vs. Microsoft Azure AI Search vs. NSDb vs. Spark SQL vs. TerarkDB

System Properties Comparison JaguarDB vs. Microsoft Azure AI Search vs. NSDb vs. Spark SQL vs. TerarkDB

Editorial information provided by DB-Engines
NameJaguarDB  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonNSDb  Xexclude from comparisonSpark SQL  Xexclude from comparisonTerarkDB  Xexclude from comparison
DescriptionPerformant, highly scalable DBMS for AI and IoT applicationsSearch-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 processingA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDB
Primary database modelKey-value store
Vector DBMS
Search engineTime Series DBMSRelational DBMSKey-value store
Secondary database modelsVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.06
Rank#381  Overall
#59  Key-value stores
#14  Vector DBMS
Score5.52
Rank#59  Overall
#6  Search engines
Score0.08
Rank#369  Overall
#40  Time Series DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Score0.08
Rank#367  Overall
#56  Key-value stores
Websitewww.jaguardb.comazure.microsoft.com/­en-us/­services/­searchnsdb.iospark.apache.org/­sqlgithub.com/­bytedance/­terarkdb
Technical documentationwww.jaguardb.com/­support.htmllearn.microsoft.com/­en-us/­azure/­searchnsdb.io/­Architecturespark.apache.org/­docs/­latest/­sql-programming-guide.htmlbytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
DeveloperDataJaguar, Inc.MicrosoftApache Software FoundationByteDance, originally Terark
Initial release20152015201720142016
Current release3.3 July 2023V13.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoGPL V3.0commercialOpen Source infoApache Version 2.0Open Source infoApache 2.0commercial inforestricted open source version available
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 languageC++ infothe server part. Clients available in other languagesJava, ScalaScalaC++
Server operating systemsLinuxhostedLinux
macOS
Linux
OS X
Windows
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyes: int, bigint, decimal, stringyesno
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 indexesyesyesall fields are automatically indexednono
SQL infoSupport of SQLA subset of ANSI SQL is implemented infobut no views, foreign keys, triggersnoSQL-like query languageSQL-like DML and DDL statementsno
APIs and other access methodsJDBC
ODBC
RESTful HTTP APIgRPC
HTTP REST
WebSocket
JDBC
ODBC
C++ API
Java API
Supported programming languagesC
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
C#
Java
JavaScript
Python
Java
Scala
Java
Python
R
Scala
C++
Java
Server-side scripts infoStored proceduresnonononono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoImplicit feature of the cloud serviceShardingyes, utilizing Spark Corenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyes infoImplicit feature of the cloud servicenonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonononono
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.nononoyes
User concepts infoAccess controlrights management via user accountsyes infousing Azure authenticationnono

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More resources
JaguarDBMicrosoft Azure AI SearchNSDbSpark SQLTerarkDB
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