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DBMS > Spark SQL vs. XTDB vs. YTsaurus

System Properties Comparison Spark SQL vs. XTDB vs. YTsaurus

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Editorial information provided by DB-Engines
NameSpark SQL  Xexclude from comparisonXTDB infoformerly named Crux  Xexclude from comparisonYTsaurus  Xexclude from comparison
DescriptionSpark SQL is a component on top of 'Spark Core' for structured data processingA general purpose database with bitemporal SQL and Datalog and graph queriesYTsaurus is an open source platform for distributed storage and processing.
Primary database modelRelational DBMSDocument storeDocument store
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score18.04
Rank#33  Overall
#20  Relational DBMS
Score0.18
Rank#332  Overall
#46  Document stores
Score0.21
Rank#324  Overall
#45  Document stores
#48  Key-value stores
Websitespark.apache.org/­sqlgithub.com/­xtdb/­xtdb
www.xtdb.com
ytsaurus.tech
Technical documentationspark.apache.org/­docs/­latest/­sql-programming-guide.htmlwww.xtdb.com/­docsytsaurus.tech/­docs/­en
DeveloperApache Software FoundationJuxt Ltd.Yandex
Initial release201420192023
Current release3.5.0 ( 2.13), September 20231.19, September 2021
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoMIT LicenseOpen Source infoApache License, Version 2.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageScalaClojureC++
Server operating systemsLinux
OS X
Windows
All OS with a Java 8 (and higher) VM
Linux
Ubuntu
Data schemeyesschema-free
Typing infopredefined data types such as float or dateyesyes, extensible-data-notation formatyes
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 indexesnoyes
SQL infoSupport of SQLSQL-like DML and DDL statementslimited SQL, making use of Apache CalciteYQL, an SQL-based language, is supported
APIs and other access methodsJDBC
ODBC
HTTP REST
JDBC
Supported programming languagesJava
Python
R
Scala
Clojure
Java
C++
Go
Java
JavaScript
Python
Server-side scripts infoStored proceduresnono
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesyes, utilizing Spark CorenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes, each node contains all datayes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlnoAccess Control Lists

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More resources
Spark SQLXTDB infoformerly named CruxYTsaurus
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