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DBMS > Apache Doris vs. Riak KV vs. Solr vs. SQream DB

System Properties Comparison Apache Doris vs. Riak KV vs. Solr vs. SQream DB

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Editorial information provided by DB-Engines
NameApache Doris  Xexclude from comparisonRiak KV  Xexclude from comparisonSolr  Xexclude from comparisonSQream DB  Xexclude from comparison
DescriptionAn MPP-based analytics DBMS embracing the MySQL protocolDistributed, fault tolerant key-value storeA widely used distributed, scalable search engine based on Apache Lucenea GPU-based, columnar RDBMS for big data analytics workloads
Primary database modelRelational DBMSKey-value store infowith links between data sets and object tags for the creation of secondary indexesSearch engineRelational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.84
Rank#217  Overall
#100  Relational DBMS
Score4.95
Rank#76  Overall
#9  Key-value stores
Score43.91
Rank#24  Overall
#3  Search engines
Score0.72
Rank#235  Overall
#108  Relational DBMS
Websitedoris.apache.org
github.com/­apache/­doris
solr.apache.orgsqream.com
Technical documentationgithub.com/­apache/­doris/­wikiwww.tiot.jp/­riak-docs/­riak/­kv/­latestsolr.apache.org/­resources.htmldocs.sqream.com
DeveloperApache Software Foundation, originally contributed from BaiduOpenSource, formerly Basho TechnologiesApache Software FoundationSQream Technologies
Initial release2017200920062017
Current release1.2.2, February 20233.2.0, December 20229.5.0, February 20242022.1.6, December 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache version 2, commercial enterprise editionOpen Source infoApache Version 2commercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaErlangJavaC++, CUDA, Haskell, Java, Scala
Server operating systemsLinuxLinux
OS X
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)Linux
Data schemeyesschema-freeyes infoDynamic Fields enables on-the-fly addition of new fieldsyes
Typing infopredefined data types such as float or dateyesnoyes infosupports customizable data types and automatic typingyes, ANSI Standard SQL Types
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.nonoyes
Secondary indexesyesrestrictedyes infoAll search fields are automatically indexedno
SQL infoSupport of SQLyesnoSolr Parallel SQL Interfaceyes
APIs and other access methodsJDBC
MySQL client
HTTP API
Native Erlang Interface
Java API
RESTful HTTP/JSON API
.Net
JDBC
ODBC
Supported programming languagesJavaC infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresuser defined functionsErlangJava pluginsuser defined functions in Python
Triggersnoyes infopre-commit hooks and post-commit hooksyes infoUser configurable commands triggered on index changesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningSharding infono "single point of failure"Shardinghorizontal and vertical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication factoryesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesspark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono infolinks between data sets can be storednono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanooptimistic lockingACID
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.noyes
User concepts infoAccess controlfine grained access rights according to SQL-standardyes, using Riak Securityyes

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Apache DorisRiak KVSolrSQream DB
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