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DBMS > Spark SQL vs. SQLite vs. SWC-DB vs. VelocityDB vs. XTDB

System Properties Comparison Spark SQL vs. SQLite vs. SWC-DB vs. VelocityDB vs. XTDB

Editorial information provided by DB-Engines
NameSpark SQL  Xexclude from comparisonSQLite  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  Xexclude from comparisonVelocityDB  Xexclude from comparisonXTDB infoformerly named Crux  Xexclude from comparison
DescriptionSpark SQL is a component on top of 'Spark Core' for structured data processingWidely used embeddable, in-process RDBMSA high performance, scalable Wide Column DBMSA .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)A general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelRelational DBMSRelational DBMSWide column storeGraph DBMS
Object oriented DBMS
Document store
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score114.32
Rank#10  Overall
#7  Relational DBMS
Score0.01
Rank#376  Overall
#13  Wide column stores
Score0.05
Rank#358  Overall
#36  Graph DBMS
#16  Object oriented DBMS
Score0.11
Rank#343  Overall
#46  Document stores
Websitespark.apache.org/­sqlwww.sqlite.orggithub.com/­kashirin-alex/­swc-db
www.swcdb.org
velocitydb.comgithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationspark.apache.org/­docs/­latest/­sql-programming-guide.htmlwww.sqlite.org/­docs.htmlvelocitydb.com/­UserGuidewww.xtdb.com/­docs
DeveloperApache Software FoundationDwayne Richard HippAlex KashirinVelocityDB IncJuxt Ltd.
Initial release20142000202020112019
Current release3.5.0 ( 2.13), September 20233.45.3  (15 April 2024), April 20240.5, April 20217.x1.19, September 2021
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoPublic DomainOpen Source infoGPL V3commercialOpen Source infoMIT License
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageScalaCC++C#Clojure
Server operating systemsLinux
OS X
Windows
server-lessLinuxAny that supports .NETAll OS with a Java 8 (and higher) VM
Linux
Data schemeyesyes infodynamic column typesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyes infonot rigid because of 'dynamic typing' concept.yesyes, 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.nonononono
Secondary indexesnoyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyes infoSQL-92 is not fully supportedSQL-like query languagenolimited SQL, making use of Apache Calcite
APIs and other access methodsJDBC
ODBC
ADO.NET infoinofficial driver
JDBC infoinofficial driver
ODBC infoinofficial driver
Proprietary protocol
Thrift
.NetHTTP REST
JDBC
Supported programming languagesJava
Python
R
Scala
Actionscript
Ada
Basic
C
C#
C++
D
Delphi
Forth
Fortran
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
R
Ruby
Scala
Scheme
Smalltalk
Tcl
C++.NetClojure
Java
Server-side scripts infoStored proceduresnonononono
TriggersnoyesnoCallbacks are triggered when data changesno
Partitioning methods infoMethods for storing different data on different nodesyes, utilizing Spark CorenoneShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesnonenoneyes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes infovia file-system locksyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes, 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.noyesnoyes
User concepts infoAccess controlnonoBased on Windows Authentication

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More resources
Spark SQLSQLiteSWC-DB infoSuper Wide Column DatabaseVelocityDBXTDB infoformerly named Crux
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