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DBMS > NSDb vs. Spark SQL vs. Transwarp StellarDB vs. XTDB

System Properties Comparison NSDb vs. Spark SQL vs. Transwarp StellarDB vs. XTDB

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Editorial information provided by DB-Engines
NameNSDb  Xexclude from comparisonSpark SQL  Xexclude from comparisonTranswarp StellarDB  Xexclude from comparisonXTDB infoformerly named Crux  Xexclude from comparison
DescriptionScalable, 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 distributed graph DBMS built for enterprise-level graph applicationsA general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelTime Series DBMSRelational DBMSGraph DBMSDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score0.00
Rank#383  Overall
#39  Graph DBMS
Score0.11
Rank#343  Overall
#46  Document stores
Websitensdb.iospark.apache.org/­sqlwww.transwarp.cn/­en/­product/­stellardbgithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationnsdb.io/­Architecturespark.apache.org/­docs/­latest/­sql-programming-guide.htmlwww.xtdb.com/­docs
DeveloperApache Software FoundationTranswarpJuxt Ltd.
Initial release201720142019
Current release3.5.0 ( 2.13), September 20231.19, September 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache 2.0commercialOpen 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
Linux
OS X
Windows
All OS with a Java 8 (and higher) VM
Linux
Data schemeyesschema-free
Typing infopredefined data types such as float or dateyes: int, bigint, decimal, stringyesyes, 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 indexednoyes
SQL infoSupport of SQLSQL-like query languageSQL-like DML and DDL statementsSQL-like query languagelimited SQL, making use of Apache Calcite
APIs and other access methodsgRPC
HTTP REST
WebSocket
JDBC
ODBC
OpenCypherHTTP REST
JDBC
Supported programming languagesJava
Scala
Java
Python
R
Scala
Clojure
Java
Server-side scripts infoStored proceduresnonono
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesShardingyes, utilizing Spark Corehorizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
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 datanonoACID
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 controlnoyes

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More resources
NSDbSpark SQLTranswarp StellarDBXTDB infoformerly named Crux
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