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DBMS > Elasticsearch vs. Manticore Search vs. Oracle Coherence vs. Sphinx vs. Teradata

System Properties Comparison Elasticsearch vs. Manticore Search vs. Oracle Coherence vs. Sphinx vs. Teradata

Editorial information provided by DB-Engines
NameElasticsearch  Xexclude from comparisonManticore Search  Xexclude from comparisonOracle Coherence  Xexclude from comparisonSphinx  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 metricMulti-storage database for search, including full-text search.Oracles in-memory data grid solutionOpen source search engine for searching in data from different sources, e.g. relational databasesA hybrid cloud data analytics software platform (Teradata Vantage)
Primary database modelSearch engineSearch engineKey-value storeSearch engineRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
Time Series DBMS infousing the Manticore Columnar LibraryDocument store
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score135.35
Rank#7  Overall
#1  Search engines
Score0.22
Rank#312  Overall
#21  Search engines
Score1.92
Rank#130  Overall
#22  Key-value stores
Score5.98
Rank#56  Overall
#5  Search engines
Score45.33
Rank#21  Overall
#15  Relational DBMS
Websitewww.elastic.co/­elasticsearchmanticoresearch.comwww.oracle.com/­java/­coherencesphinxsearch.comwww.teradata.com
Technical documentationwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlmanual.manticoresearch.comdocs.oracle.com/­en/­middleware/­standalone/­coherencesphinxsearch.com/­docsdocs.teradata.com
DeveloperElasticManticore SoftwareOracleSphinx Technologies Inc.Teradata
Initial release20102017200720011984
Current release8.6, January 20236.0, February 202314.1, August 20233.5.1, February 2023Teradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open SourceOpen Source infoElastic LicenseOpen Source infoGPL version 2commercialOpen Source infoGPL version 2, commercial licence availablecommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++JavaC++
Server operating systemsAll OS with a Java VMFreeBSD
Linux
macOS
Windows
All OS with a Java VMFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
hosted
Linux
Data schemeschema-free infoFlexible type definitions. Once a type is defined, it is persistentFixed schemaschema-freeyesyes
Typing infopredefined data types such as float or dateyesInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleanyesnoyes
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.noCan index from XMLnoyes
Secondary indexesyes infoAll search fields are automatically indexedyes infofull-text index on all search fieldsnoyes infofull-text index on all search fieldsyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash index
SQL infoSupport of SQLSQL-like query languageSQL-like query languagenoSQL-like query language (SphinxQL)yes infoSQL 2016 + extensions
APIs and other access methodsJava API
RESTful HTTP/JSON API
Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
JCache
JPA
RESTful HTTP API
Proprietary protocol.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
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
.Net
C++
Java
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
Server-side scripts infoStored proceduresyesuser defined functionsnonoyes infoUDFs, stored procedures, table functions in parallel
Triggersyes infoby using the 'percolation' featurenoyes infoLive Eventsnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoPartitioning is done manually, search queries against distributed index is supportedShardingSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding infoHashing
Replication methods infoMethods for redundantly storing data on multiple nodesyesSynchronous replication based on Galera libraryyes, with selectable consistency levelnoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsES-Hadoop Connectornononono
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, allEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynonononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyes infoisolated transactions for atomic changes and binary logging for safe writesconfigurablenoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes infoThe original contents of fields are not stored in the Manticore index.yes infooptionallyyes infoThe original contents of fields are not stored in the Sphinx index.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Memcached and Redis integrationyesyes
User concepts infoAccess controlnoauthentification to access the cache via certificates or http basic authenticationnofine grained access rights according to SQL-standard

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More resources
ElasticsearchManticore SearchOracle CoherenceSphinxTeradata
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