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DBMS > Drizzle vs. Kinetica vs. ObjectBox vs. Solr vs. SpatiaLite

System Properties Comparison Drizzle vs. Kinetica vs. ObjectBox vs. Solr vs. SpatiaLite

Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonKinetica  Xexclude from comparisonObjectBox  Xexclude from comparisonSolr  Xexclude from comparisonSpatiaLite  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Fully vectorized database across both GPUs and CPUsExtremely fast embedded database for small devices, IoT and MobileA widely used distributed, scalable search engine based on Apache LuceneSpatial extension of SQLite
Primary database modelRelational DBMSRelational DBMSObject oriented DBMSSearch engineSpatial DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
Time Series DBMSSpatial DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score1.20
Rank#170  Overall
#5  Object oriented DBMS
Score42.91
Rank#24  Overall
#3  Search engines
Score1.60
Rank#149  Overall
#3  Spatial DBMS
Websitewww.kinetica.comobjectbox.iosolr.apache.orgwww.gaia-gis.it/­fossil/­libspatialite/­index
Technical documentationdocs.kinetica.comdocs.objectbox.iosolr.apache.org/­resources.htmlwww.gaia-gis.it/­gaia-sins/­spatialite_topics.html
DeveloperDrizzle project, originally started by Brian AkerKineticaObjectBox LimitedApache Software FoundationAlessandro Furieri
Initial release20082012201720062008
Current release7.2.4, September 20127.1, August 20219.5.0, February 20245.0.0, August 2020
License infoCommercial or Open SourceOpen Source infoGNU GPLcommercialOpen Source infoApache License 2.0Open Source infoApache Version 2Open 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

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Implementation languageC++C, C++C and C++JavaC++
Server operating systemsFreeBSD
Linux
OS X
LinuxAndroid
iOS
Linux
macOS
Windows
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)server-less
Data schemeyesyesyesyes infoDynamic Fields enables on-the-fly addition of new fieldsyes
Typing infopredefined data types such as float or dateyesyesyesyes infosupports customizable data types and automatic typingyes
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.nonoyesno
Secondary indexesyesyesyesyes infoAll search fields are automatically indexedyes
SQL infoSupport of SQLyes infowith proprietary extensionsSQL-like DML and DDL statementsnoSolr Parallel SQL Interfaceyes
APIs and other access methodsJDBCJDBC
ODBC
RESTful HTTP API
Proprietary native APIJava API
RESTful HTTP/JSON API
Supported programming languagesC
C++
Java
PHP
C++
Java
JavaScript (Node.js)
Python
C
C++
Dart
Go
Java
JavaScript infoplanned (as of Jan 2019)
Kotlin
Python infoplanned (as of Jan 2019)
Swift
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnouser defined functionsnoJava pluginsno
Triggersno infohooks for callbacks inside the server can be used.yes infotriggers when inserted values for one or more columns fall within a specified rangenoyes infoUser configurable commands triggered on index changesyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Source-replica replicationonline/offline synchronization between client and serveryesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesyesyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDoptimistic lockingACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.yes infoGPU vRAM or System RAMnoyesyes
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPAccess rights for users and roles on table levelyesyesno
More information provided by the system vendor
DrizzleKineticaObjectBoxSolrSpatiaLite
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More resources
DrizzleKineticaObjectBoxSolrSpatiaLite
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