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DBMS > NSDb vs. OushuDB vs. Spark SQL vs. XTDB

System Properties Comparison NSDb vs. OushuDB vs. Spark SQL vs. XTDB

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Editorial information provided by DB-Engines
NameNSDb  Xexclude from comparisonOushuDB  Xexclude from comparisonSpark SQL  Xexclude from comparisonXTDB infoformerly named Crux  Xexclude from comparison
DescriptionScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesA data warehouse powered by Apache HAWQ supporting descriptive analysis and advanced machine learningSpark SQL is a component on top of 'Spark Core' for structured data processingA general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelTime Series DBMSRelational DBMSRelational DBMSDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score0.04
Rank#363  Overall
#154  Relational DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score0.11
Rank#343  Overall
#46  Document stores
Websitensdb.iowww.oushu.com/­product/­oushuDBspark.apache.org/­sqlgithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationnsdb.io/­Architecturewww.oushu.com/­documentationspark.apache.org/­docs/­latest/­sql-programming-guide.htmlwww.xtdb.com/­docs
DeveloperOushuApache Software FoundationJuxt Ltd.
Initial release201720142019
Current release4.0.1, August 20203.5.0 ( 2.13), September 20231.19, September 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoApache 2.0Open Source infoMIT License
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, ScalaScalaClojure
Server operating systemsLinux
macOS
LinuxLinux
OS X
Windows
All OS with a Java 8 (and higher) VM
Linux
Data schemeyesyesschema-free
Typing infopredefined data types such as float or dateyes: int, bigint, decimal, stringyesyesyes, extensible-data-notation format
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.nonono
Secondary indexesall fields are automatically indexedyesnoyes
SQL infoSupport of SQLSQL-like query languageFull-featured ANSI SQL supportSQL-like DML and DDL statementslimited SQL, making use of Apache Calcite
APIs and other access methodsgRPC
HTTP REST
WebSocket
JDBC
ODBC
JDBC
ODBC
HTTP REST
JDBC
Supported programming languagesJava
Scala
C
C++
Java
Python
R
Scala
Clojure
Java
Server-side scripts infoStored proceduresnoyesnono
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingyesyes, utilizing Spark Corenone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoHadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentUsing Apache Luceneyesyesyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlKerberos, SSL and role based accessno

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More resources
NSDbOushuDBSpark SQLXTDB infoformerly named Crux
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