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DBMS > HBase vs. LevelDB vs. Quasardb vs. Spark SQL vs. SpatiaLite

System Properties Comparison HBase vs. LevelDB vs. Quasardb vs. Spark SQL vs. SpatiaLite

Editorial information provided by DB-Engines
NameHBase  Xexclude from comparisonLevelDB  Xexclude from comparisonQuasardb  Xexclude from comparisonSpark SQL  Xexclude from comparisonSpatiaLite  Xexclude from comparison
DescriptionWide-column store based on Apache Hadoop and on concepts of BigTableEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesDistributed, high-performance timeseries databaseSpark SQL is a component on top of 'Spark Core' for structured data processingSpatial extension of SQLite
Primary database modelWide column storeKey-value storeTime Series DBMSRelational DBMSSpatial DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score30.50
Rank#26  Overall
#2  Wide column stores
Score2.35
Rank#111  Overall
#19  Key-value stores
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score1.60
Rank#149  Overall
#3  Spatial DBMS
Websitehbase.apache.orggithub.com/­google/­leveldbquasar.aispark.apache.org/­sqlwww.gaia-gis.it/­fossil/­libspatialite/­index
Technical documentationhbase.apache.org/­book.htmlgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mddoc.quasar.ai/­masterspark.apache.org/­docs/­latest/­sql-programming-guide.htmlwww.gaia-gis.it/­gaia-sins/­spatialite_topics.html
DeveloperApache Software Foundation infoApache top-level project, originally developed by PowersetGooglequasardbApache Software FoundationAlessandro Furieri
Initial release20082011200920142008
Current release2.3.4, January 20211.23, February 20213.14.1, January 20243.5.0 ( 2.13), September 20235.0.0, August 2020
License infoCommercial or Open SourceOpen Source infoApache version 2Open Source infoBSDcommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoApache 2.0Open Source infoMPL 1.1, GPL v2.0 or LGPL v2.1
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++C++ScalaC++
Server operating systemsLinux
Unix
Windows infousing Cygwin
Illumos
Linux
OS X
Windows
BSD
Linux
OS X
Windows
Linux
OS X
Windows
server-less
Data schemeschema-free, schema definition possibleschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateoptions to bring your own types, AVROnoyes infointeger and binaryyesyes
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 indexesnonoyes infowith tagsnoyes
SQL infoSupport of SQLnonoSQL-like query languageSQL-like DML and DDL statementsyes
APIs and other access methodsJava API
RESTful HTTP API
Thrift
HTTP APIJDBC
ODBC
Supported programming languagesC
C#
C++
Groovy
Java
PHP
Python
Scala
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Java
Python
R
Scala
Server-side scripts infoStored proceduresyes infoCoprocessors in Javanononono
Triggersyesnononoyes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding infoconsistent hashingyes, utilizing Spark Corenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
noneSource-replica replication with selectable replication factornonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnowith Hadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataSingle row ACID (across millions of columns)noACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes infowith automatic compression on writesyes infoby using LevelDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoTransient modenoyes
User concepts infoAccess controlAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACnoCryptographically strong user authentication and audit trailnono

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HBaseLevelDBQuasardbSpark SQLSpatiaLite
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