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DBMS > Hive vs. Spark SQL vs. SQLite vs. SWC-DB vs. WakandaDB

System Properties Comparison Hive vs. Spark SQL vs. SQLite vs. SWC-DB vs. WakandaDB

Editorial information provided by DB-Engines
NameHive  Xexclude from comparisonSpark SQL  Xexclude from comparisonSQLite  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  Xexclude from comparisonWakandaDB  Xexclude from comparison
Descriptiondata warehouse software for querying and managing large distributed datasets, built on HadoopSpark SQL is a component on top of 'Spark Core' for structured data processingWidely used embeddable, in-process RDBMSA high performance, scalable Wide Column DBMSWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelRelational DBMSRelational DBMSRelational DBMSWide column storeObject oriented DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score61.17
Rank#18  Overall
#12  Relational DBMS
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
Score0.03
Rank#364  Overall
#17  Object oriented DBMS
Websitehive.apache.orgspark.apache.org/­sqlwww.sqlite.orggithub.com/­kashirin-alex/­swc-db
www.swcdb.org
wakanda.github.io
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homespark.apache.org/­docs/­latest/­sql-programming-guide.htmlwww.sqlite.org/­docs.htmlwakanda.github.io/­doc
DeveloperApache Software Foundation infoinitially developed by FacebookApache Software FoundationDwayne Richard HippAlex KashirinWakanda SAS
Initial release20122014200020202012
Current release3.1.3, April 20223.5.0 ( 2.13), September 20233.45.3  (15 April 2024), April 20240.5, April 20212.7.0 (April 29, 2019), April 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache 2.0Open Source infoPublic DomainOpen Source infoGPL V3Open Source infoAGPLv3, extended commercial license available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScalaCC++C++, JavaScript
Server operating systemsAll OS with a Java VMLinux
OS X
Windows
server-lessLinuxLinux
OS X
Windows
Data schemeyesyesyes infodynamic column typesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyes infonot rigid because of 'dynamic typing' concept.yes
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.nononono
Secondary indexesyesnoyes
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL-like DML and DDL statementsyes infoSQL-92 is not fully supportedSQL-like query languageno
APIs and other access methodsJDBC
ODBC
Thrift
JDBC
ODBC
ADO.NET infoinofficial driver
JDBC infoinofficial driver
ODBC infoinofficial driver
Proprietary protocol
Thrift
RESTful HTTP API
Supported programming languagesC++
Java
PHP
Python
Java
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++JavaScript
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenononoyes
Triggersnonoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingyes, utilizing Spark CorenoneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factornonenonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infovia file-system locksyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnono
User concepts infoAccess controlAccess rights for users, groups and rolesnonoyes

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More resources
HiveSpark SQLSQLiteSWC-DB infoSuper Wide Column DatabaseWakandaDB
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