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DBMS > Elasticsearch vs. searchxml vs. Solr vs. Teradata

System Properties Comparison Elasticsearch vs. searchxml vs. Solr vs. Teradata

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Editorial information provided by DB-Engines
NameElasticsearch  Xexclude from comparisonsearchxml  Xexclude from comparisonSolr  Xexclude from comparisonTeradata  Xexclude from comparison
DescriptionA distributed, RESTful modern search and analytics engine based on Apache Lucene infoElasticsearch lets you perform and combine many types of searches such as structured, unstructured, geo, and metricDBMS for structured and unstructured content wrapped with an application serverA widely used distributed, scalable search engine based on Apache LuceneA hybrid cloud data analytics software platform (Teradata Vantage)
Primary database modelSearch engineNative XML DBMS
Search engine
Search engineRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
Spatial DBMSDocument store
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score134.78
Rank#7  Overall
#1  Search engines
Score0.01
Rank#386  Overall
#7  Native XML DBMS
#24  Search engines
Score44.28
Rank#24  Overall
#3  Search engines
Score47.84
Rank#21  Overall
#15  Relational DBMS
Websitewww.elastic.co/­elasticsearchwww.searchxml.net/­category/­productssolr.apache.orgwww.teradata.com
Technical documentationwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlwww.searchxml.net/­support/­handoutssolr.apache.org/­resources.htmldocs.teradata.com
DeveloperElasticinformationpartners gmbhApache Software FoundationTeradata
Initial release2010201520061984
Current release8.6, January 20231.09.5.0, February 2024Teradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open SourceOpen Source infoElastic LicensecommercialOpen 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 systemsAll OS with a Java VMWindowsAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)hosted
Linux
Data schemeschema-free infoFlexible type definitions. Once a type is defined, it is persistentschema-freeyes 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.noyesyesyes
Secondary indexesyes infoAll search fields are automatically indexedyesyes infoAll search fields are automatically indexedyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash index
SQL infoSupport of SQLSQL-like query languagenoSolr Parallel SQL Interfaceyes infoSQL 2016 + extensions
APIs and other access methodsJava API
RESTful HTTP/JSON API
RESTful HTTP API
WebDAV
XQuery
XSLT
Java API
RESTful HTTP/JSON API
.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
Supported programming languages.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
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++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
Server-side scripts infoStored proceduresyesyes infoon the application serverJava pluginsyes infoUDFs, stored procedures, table functions in parallel
Triggersyes infoby using the 'percolation' featurenoyes infoUser configurable commands triggered on index changesyes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingSharding infoHashing
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infosychronisation to multiple collectionsyesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsES-Hadoop Connectornospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, allImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes
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 persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Memcached and Redis integrationnoyesyes
User concepts infoAccess controlDomain, group and role-based access control at the document level and for application servicesyesfine grained access rights according to SQL-standard

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More resources
ElasticsearchsearchxmlSolrTeradata
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