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DBMS > Coveo vs. NuoDB vs. Quasardb vs. Solr

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

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Editorial information provided by DB-Engines
NameCoveo  Xexclude from comparisonNuoDB  Xexclude from comparisonQuasardb  Xexclude from comparisonSolr  Xexclude from comparison
DescriptionAI-powered hosted search, recommendation and personalization platform providing tools for both low-code and full-code developmentNuoDB is a webscale distributed database that supports SQL and ACID transactionsDistributed, high-performance timeseries databaseA widely used distributed, scalable search engine based on Apache Lucene
Primary database modelSearch engineRelational DBMSTime Series DBMSSearch engine
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.28
Rank#114  Overall
#11  Search engines
Score0.89
Rank#198  Overall
#92  Relational DBMS
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Score42.91
Rank#24  Overall
#3  Search engines
Websitewww.coveo.comwww.3ds.com/­nuodb-distributed-sql-databasequasar.aisolr.apache.org
Technical documentationdocs.coveo.comdoc.nuodb.comdoc.quasar.ai/­mastersolr.apache.org/­resources.html
DeveloperCoveoDassault Systèmes infooriginally NuoDB, Inc.quasardbApache Software Foundation
Initial release2012201320092006
Current release3.14.1, January 20249.6.0, April 2024
License infoCommercial or Open Sourcecommercialcommercial infolimited edition freecommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++Java
Server operating systemshostedhosted 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)
Data schemehybrid - fields need to be configured prior to indexing, but relationships can be exploited at query time without pre-configurationyesschema-freeyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or dateyesyesyes infointeger and binaryyes 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.nononoyes
Secondary indexesyesyesyes infowith tagsyes infoAll search fields are automatically indexed
SQL infoSupport of SQLnoyesSQL-like query languageSolr Parallel SQL Interface
APIs and other access methodsRESTful HTTP APIADO.NET
JDBC
ODBC
HTTP APIJava API
RESTful HTTP/JSON API
Supported programming languagesC#
Java
JavaScript
Python
.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
Server-side scripts infoStored proceduresnoJava, SQLnoJava plugins
Triggersyesyesnoyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesyesdata is dynamically stored/cached on the nodes where it is read/writtenSharding infoconsistent hashingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infoManaged transparently by NuoDBSource-replica replication with selectable replication factoryes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonowith Hadoop integrationspark-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 integrityyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACID infotunable commit protocolACIDoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyes infoMVCCyesyes
Durability infoSupport for making data persistentyesyesyes infoby using LevelDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoTemporary tableyes infoTransient modeyes
User concepts infoAccess controlgranular access controls, API key management, content filtersStandard SQL roles/ privileges, Administrative UsersCryptographically strong user authentication and audit trailyes

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