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DBMS > Apache Druid vs. NuoDB vs. Solr vs. Valentina Server

System Properties Comparison Apache Druid vs. NuoDB vs. Solr vs. Valentina Server

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonNuoDB  Xexclude from comparisonSolr  Xexclude from comparisonValentina Server  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataNuoDB is a webscale distributed database that supports SQL and ACID transactionsA widely used distributed, scalable search engine based on Apache LuceneObject-relational database and reports server
Primary database modelRelational DBMS
Time Series DBMS
Relational DBMSSearch engineRelational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.34
Rank#88  Overall
#48  Relational DBMS
#7  Time Series DBMS
Score0.89
Rank#198  Overall
#92  Relational DBMS
Score42.91
Rank#24  Overall
#3  Search engines
Score0.17
Rank#327  Overall
#145  Relational DBMS
Websitedruid.apache.orgwww.3ds.com/­nuodb-distributed-sql-databasesolr.apache.orgwww.valentina-db.net
Technical documentationdruid.apache.org/­docs/­latest/­designdoc.nuodb.comsolr.apache.org/­resources.htmlvalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperApache Software Foundation and contributorsDassault Systèmes infooriginally NuoDB, Inc.Apache Software FoundationParadigma Software
Initial release2012201320061999
Current release29.0.1, April 20249.5.0, February 20245.7.5
License infoCommercial or Open SourceOpen Source infoApache license v2commercial infolimited edition freeOpen 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 languageJavaC++Java
Server operating systemsLinux
OS X
Unix
hosted infoAmazon EC2, Windows Azure, SoftLayer
Linux
OS X
Windows
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)Linux
OS X
Windows
Data schemeyes infoschema-less columns are supportedyesyes infoDynamic Fields enables on-the-fly addition of new fieldsyes
Typing infopredefined data types such as float or dateyesyesyes 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 indexesyesyesyes infoAll search fields are automatically indexedyes
SQL infoSupport of SQLSQL for queryingyesSolr Parallel SQL Interfaceyes
APIs and other access methodsJDBC
RESTful HTTP/JSON API
ADO.NET
JDBC
ODBC
Java API
RESTful HTTP/JSON API
ODBC
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
.Net
C
C++
Go
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresnoJava, SQLJava pluginsyes
Triggersnoyesyes infoUser configurable commands triggered on index changesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-baseddata is dynamically stored/cached on the nodes where it is read/writtenSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesyes infoManaged transparently by NuoDByes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infotunable commit protocoloptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyes infoMVCCyes
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 infoTemporary tableyesyes
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemStandard SQL roles/ privileges, Administrative Usersyesfine grained access rights according to SQL-standard

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More resources
Apache DruidNuoDBSolrValentina Server
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