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DBMS > Apache Druid vs. searchxml vs. Solr vs. Teradata Aster vs. Valentina Server

System Properties Comparison Apache Druid vs. searchxml vs. Solr vs. Teradata Aster vs. Valentina Server

Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonsearchxml  Xexclude from comparisonSolr  Xexclude from comparisonTeradata Aster  Xexclude from comparisonValentina Server  Xexclude from comparison
Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataDBMS for structured and unstructured content wrapped with an application serverA widely used distributed, scalable search engine based on Apache LucenePlatform for big data analytics on multistructured data sources and typesObject-relational database and reports server
Primary database modelRelational DBMS
Time Series DBMS
Native XML DBMS
Search engine
Search engineRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.25
Rank#90  Overall
#47  Relational DBMS
#7  Time Series DBMS
Score0.03
Rank#390  Overall
#7  Native XML DBMS
#24  Search engines
Score41.02
Rank#24  Overall
#3  Search engines
Score0.21
Rank#325  Overall
#144  Relational DBMS
Websitedruid.apache.orgwww.searchxml.net/­category/­productssolr.apache.orgwww.valentina-db.net
Technical documentationdruid.apache.org/­docs/­latest/­designwww.searchxml.net/­support/­handoutssolr.apache.org/­resources.htmlvalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperApache Software Foundation and contributorsinformationpartners gmbhApache Software FoundationTeradataParadigma Software
Initial release20122015200620051999
Current release29.0.1, April 20241.09.6.0, April 20245.7.5
License infoCommercial or Open SourceOpen Source infoApache license v2commercialOpen Source infoApache Version 2commercialcommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++Java
Server operating systemsLinux
OS X
Unix
WindowsAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)LinuxLinux
OS X
Windows
Data schemeyes infoschema-less columns are supportedschema-freeyes infoDynamic Fields enables on-the-fly addition of new fieldsFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Storeyes
Typing infopredefined data types such as float or dateyesyesyes infosupports customizable data types and automatic typingyesyes
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.noyesyesyes infoin Aster File Store
Secondary indexesyesyesyes infoAll search fields are automatically indexedyesyes
SQL infoSupport of SQLSQL for queryingnoSolr Parallel SQL Interfaceyesyes
APIs and other access methodsJDBC
RESTful HTTP/JSON API
RESTful HTTP API
WebDAV
XQuery
XSLT
Java API
RESTful HTTP/JSON API
ADO.NET
JDBC
ODBC
OLE DB
ODBC
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
C++ infomost other programming languages supported via APIs.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
C
C#
C++
Java
Python
R
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresnoyes infoon the application serverJava pluginsR packagesyes
Triggersnonoyes infoUser configurable commands triggered on index changesnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basednoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesyes infosychronisation to multiple collectionsyesyes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduceyes infoSQL Map-Reduce Frameworkno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynonononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanomultiple readers, single writeroptimistic lockingACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesnoyes
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemDomain, group and role-based access control at the document level and for application servicesyesfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
Apache DruidsearchxmlSolrTeradata AsterValentina Server
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