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DBMS > Elasticsearch vs. gStore vs. Manticore Search vs. Riak KV

System Properties Comparison Elasticsearch vs. gStore vs. Manticore Search vs. Riak KV

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Editorial information provided by DB-Engines
NameElasticsearch  Xexclude from comparisongStore  Xexclude from comparisonManticore Search  Xexclude from comparisonRiak KV  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 metricA native Graph DBMS to store and maintain very large RDF datasets.Multi-storage database for search, including full-text search.Distributed, fault tolerant key-value store
Primary database modelSearch engineGraph DBMS
RDF store
Search engineKey-value store infowith links between data sets and object tags for the creation of secondary indexes
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
Time Series DBMS infousing the Manticore Columnar Library
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score128.79
Rank#8  Overall
#1  Search engines
Score0.03
Rank#367  Overall
#37  Graph DBMS
#18  RDF stores
Score0.23
Rank#301  Overall
#21  Search engines
Score3.84
Rank#76  Overall
#9  Key-value stores
Websitewww.elastic.co/­elasticsearchen.gstore.cnmanticoresearch.com
Technical documentationwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlen.gstore.cn/­#/­enDocsmanual.manticoresearch.comwww.tiot.jp/­riak-docs/­riak/­kv/­latest
DeveloperElasticManticore SoftwareOpenSource, formerly Basho Technologies
Initial release2010201620172009
Current release8.6, January 20231.2, November 20236.0, February 20233.2.0, December 2022
License infoCommercial or Open SourceOpen Source infoElastic LicenseOpen Source infoBSDOpen Source infoGPL version 2Open Source infoApache version 2, commercial enterprise edition
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++C++Erlang
Server operating systemsAll OS with a Java VMLinuxFreeBSD
Linux
macOS
Windows
Linux
OS X
Data schemeschema-free infoFlexible type definitions. Once a type is defined, it is persistentschema-free and OWL/RDFS-schema supportFixed schemaschema-free
Typing infopredefined data types such as float or dateyesyesInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleanno
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.nonoCan index from XMLno
Secondary indexesyes infoAll search fields are automatically indexedyes infofull-text index on all search fieldsrestricted
SQL infoSupport of SQLSQL-like query languagenoSQL-like query languageno
APIs and other access methodsJava API
RESTful HTTP/JSON API
HTTP API
SPARQL 1.1
Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
HTTP API
Native Erlang Interface
Supported programming languages.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
C++
Java
JavaScript (Node.js)
PHP
Python
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
Server-side scripts infoStored proceduresyesyesuser defined functionsErlang
Triggersyes infoby using the 'percolation' featurenoyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding infono "single point of failure"
Replication methods infoMethods for redundantly storing data on multiple nodesyesSynchronous replication based on Galera libraryselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsES-Hadoop Connectornonoyes
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
Foreign keys infoReferential integritynonono infolinks between data sets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesyes infoisolated transactions for atomic changes and binary logging for safe writesno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoThe original contents of fields are not stored in the Manticore index.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Memcached and Redis integrationno
User concepts infoAccess controlUsers, roles and permissions, Role-Based Access Control (RBAC) supportednoyes, using Riak Security

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More resources
ElasticsearchgStoreManticore SearchRiak KV
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