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DBMS > NuoDB vs. Quasardb vs. Solr vs. Vitess

System Properties Comparison NuoDB vs. Quasardb vs. Solr vs. Vitess

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Editorial information provided by DB-Engines
NameNuoDB  Xexclude from comparisonQuasardb  Xexclude from comparisonSolr  Xexclude from comparisonVitess  Xexclude from comparison
DescriptionNuoDB is a webscale distributed database that supports SQL and ACID transactionsDistributed, high-performance timeseries databaseA widely used distributed, scalable search engine based on Apache LuceneScalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelRelational DBMSTime Series DBMSSearch engineRelational DBMS
Secondary database modelsSpatial DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.94
Rank#197  Overall
#92  Relational DBMS
Score0.21
Rank#322  Overall
#29  Time Series DBMS
Score41.02
Rank#24  Overall
#3  Search engines
Score0.88
Rank#203  Overall
#95  Relational DBMS
Websitewww.3ds.com/­nuodb-distributed-sql-databasequasar.aisolr.apache.orgvitess.io
Technical documentationdoc.nuodb.comdoc.quasar.ai/­mastersolr.apache.org/­resources.htmlvitess.io/­docs
DeveloperDassault Systèmes infooriginally NuoDB, Inc.quasardbApache Software FoundationThe Linux Foundation, PlanetScale
Initial release2013200920062013
Current release3.14.1, January 20249.6.1, May 202415.0.2, December 2022
License infoCommercial or Open Sourcecommercial infolimited edition freecommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoApache Version 2Open Source infoApache Version 2.0, commercial licenses available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++JavaGo
Server operating systemshosted infoAmazon EC2, Windows Azure, SoftLayer
Linux
OS X
Windows
BSD
Linux
OS X
Windows
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)Docker
Linux
macOS
Data schemeyesschema-freeyes infoDynamic Fields enables on-the-fly addition of new fieldsyes
Typing infopredefined data types such as float or dateyesyes infointeger and binaryyes 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.nonoyes
Secondary indexesyesyes infowith tagsyes infoAll search fields are automatically indexedyes
SQL infoSupport of SQLyesSQL-like query languageSolr Parallel SQL Interfaceyes infowith proprietary extensions
APIs and other access methodsADO.NET
JDBC
ODBC
HTTP APIJava API
RESTful HTTP/JSON API
ADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languages.Net
C
C++
Go
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C
C#
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
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresJava, SQLnoJava pluginsyes infoproprietary syntax
Triggersyesnoyes infoUser configurable commands triggered on index changesyes
Partitioning methods infoMethods for storing different data on different nodesdata is dynamically stored/cached on the nodes where it is read/writtenSharding infoconsistent hashingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoManaged transparently by NuoDBSource-replica replication with selectable replication factoryesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnowith Hadoop integrationspark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integrityyesnonoyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infotunable commit protocolACIDoptimistic lockingACID at shard level
Concurrency infoSupport for concurrent manipulation of datayes infoMVCCyesyesyes infotable locks or row locks depending on storage engine
Durability infoSupport for making data persistentyesyes infoby using LevelDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoTemporary tableyes infoTransient modeyesyes
User concepts infoAccess controlStandard SQL roles/ privileges, Administrative UsersCryptographically strong user authentication and audit trailyesUsers with fine-grained authorization concept infono user groups or roles

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