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DBMS > Alibaba Cloud PolarDB vs. Apache Druid vs. Cubrid vs. Solr

System Properties Comparison Alibaba Cloud PolarDB vs. Apache Druid vs. Cubrid vs. Solr

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Editorial information provided by DB-Engines
NameAlibaba Cloud PolarDB  Xexclude from comparisonApache Druid  Xexclude from comparisonCubrid  Xexclude from comparisonSolr  Xexclude from comparison
DescriptionA cloud-native relational database compatible with MySQL, PostgreSQL, and Oracle. Designed for business critical applications.Open-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataCUBRID is an open-source SQL-based relational database management system with object extensions for OLTPA widely used distributed, scalable search engine based on Apache Lucene
Primary database modelRelational DBMSRelational DBMS
Time Series DBMS
Relational DBMSSearch engine
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.59
Rank#241  Overall
#110  Relational DBMS
Score3.34
Rank#88  Overall
#48  Relational DBMS
#7  Time Series DBMS
Score1.20
Rank#169  Overall
#78  Relational DBMS
Score42.91
Rank#24  Overall
#3  Search engines
Websitewww.alibabacloud.com/­product/­polardbdruid.apache.orgcubrid.com (korean)
cubrid.org (english)
solr.apache.org
Technical documentationwww.alibabacloud.com/­help/­en/­polardb/­product-overviewdruid.apache.org/­docs/­latest/­designcubrid.org/­manualssolr.apache.org/­resources.html
DeveloperAlibabaApache Software Foundation and contributorsCUBRID Corporation, CUBRID FoundationApache Software Foundation
Initial release201220082006
Current release29.0.1, April 202411.0, January 20219.6.0, April 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache license v2Open Source infoApache Version 2.0Open Source infoApache Version 2
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC, C++, JavaJava
Server operating systemshostedLinux
OS X
Unix
Linux
Windows
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeyesyes infoschema-less columns are supportedyesyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or dateyesyesyesyes 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 SQLyesSQL for queryingyesSolr Parallel SQL Interface
APIs and other access methodsJDBC
ODBC
JDBC
RESTful HTTP/JSON API
ADO.NET
JDBC
ODBC
OLE DB
Java API
RESTful HTTP/JSON API
Supported programming languagesJava
Python
Clojure
JavaScript
PHP
Python
R
Ruby
Scala
C
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresyesnoJava Stored ProceduresJava plugins
Triggersyesnoyesyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceSharding infomanual/auto, time-basednoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceyes, via HDFS, S3 or other storage enginesSource-replica replicationyes
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 ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemfine grained access rights according to SQL-standardyes
More information provided by the system vendor
Alibaba Cloud PolarDBApache DruidCubridSolr
Specific characteristicsPolarDB, previously ApsaraDB for PolarDB, is a cloud-native relational database designed...
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Competitive advantagesWebinar: Top Scientists Live: Tech Secrets to Double 11's Success Revealed. White...
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Typical application scenariosCreating a Robust Cloud-Based Database for Fintech, E-Commerce and Gaming. Learn...
» more
Licensing and pricing modelsSpecification and pricing. You can use either of the following billing methods to...
» more

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Alibaba Cloud PolarDBApache DruidCubridSolr
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