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DBMS > Apache Pinot vs. Kingbase vs. Lovefield vs. SiriDB vs. Solr

System Properties Comparison Apache Pinot vs. Kingbase vs. Lovefield vs. SiriDB vs. Solr

Editorial information provided by DB-Engines
NameApache Pinot  Xexclude from comparisonKingbase  Xexclude from comparisonLovefield  Xexclude from comparisonSiriDB  Xexclude from comparisonSolr  Xexclude from comparison
DescriptionRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyAn enterprise-class RDBMS compatible with PostgreSQL and Oracle and widely used in China.Embeddable relational database for web apps written in pure JavaScriptOpen Source Time Series DBMSA widely used distributed, scalable search engine based on Apache Lucene
Primary database modelRelational DBMSRelational DBMSRelational DBMSTime Series DBMSSearch engine
Secondary database modelsDocument store
Spatial DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.38
Rank#275  Overall
#126  Relational DBMS
Score0.50
Rank#257  Overall
#119  Relational DBMS
Score0.33
Rank#286  Overall
#131  Relational DBMS
Score0.07
Rank#378  Overall
#42  Time Series DBMS
Score41.02
Rank#24  Overall
#3  Search engines
Websitepinot.apache.orgwww.kingbase.com.cngoogle.github.io/­lovefieldsiridb.comsolr.apache.org
Technical documentationdocs.pinot.apache.orggithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mddocs.siridb.comsolr.apache.org/­resources.html
DeveloperApache Software Foundation and contributorsBeiJing KINGBASE Information technologies inc.GoogleCesbitApache Software Foundation
Initial release20151999201420172006
Current release1.0.0, September 2023V8.0, August 20212.1.12, February 20179.6.0, April 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoApache 2.0Open Source infoMIT LicenseOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC and JavaJavaScriptCJava
Server operating systemsAll OS with a Java JDK11 or higherLinux
Windows
server-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariLinuxAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeyesyesyesyesyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or dateyesyesyesyes infoNumeric datayes infosupports customizable data types and automatic typing
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.yesnonoyes
Secondary indexesyesyesyesyes infoAll search fields are automatically indexed
SQL infoSupport of SQLSQL-like query languageStandard with numerous extensionsSQL-like query language infovia JavaScript builder patternnoSolr Parallel SQL Interface
APIs and other access methodsJDBCADO.NET
gokb
JDBC
kdbndp
ODBC
PDI
PDO
Pro*C
psycopg2
QT
HTTP APIJava API
RESTful HTTP/JSON API
Supported programming languagesGo
Java
Python
.Net
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
JavaScriptC
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresuser defined functionsnonoJava plugins
TriggersyesUsing read-only observersnoyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioninghorizontal partitioning (by range, list and hash) and vertical partitioningnoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnooptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infousing MemoryDByesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardnosimple rights management via user accountsyes

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More resources
Apache PinotKingbaseLovefieldSiriDBSolr
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