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DBMS > Elasticsearch vs. EsgynDB vs. TinkerGraph vs. Tkrzw

System Properties Comparison Elasticsearch vs. EsgynDB vs. TinkerGraph vs. Tkrzw

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Editorial information provided by DB-Engines
NameElasticsearch  Xexclude from comparisonEsgynDB  Xexclude from comparisonTinkerGraph  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  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 metricEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionA lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 APIA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet
Primary database modelSearch engineRelational DBMSGraph DBMSKey-value store
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score135.35
Rank#7  Overall
#1  Search engines
Score0.16
Rank#329  Overall
#146  Relational DBMS
Score0.08
Rank#348  Overall
#35  Graph DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
Websitewww.elastic.co/­elasticsearchwww.esgyn.cntinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlindbmx.net/­tkrzw
Technical documentationwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.html
DeveloperElasticEsgynMikio Hirabayashi
Initial release2010201520092020
Current release8.6, January 20230.9.3, August 2020
License infoCommercial or Open SourceOpen Source infoElastic LicensecommercialOpen Source infoApache 2.0Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++, JavaJavaC++
Server operating systemsAll OS with a Java VMLinuxLinux
macOS
Data schemeschema-free infoFlexible type definitions. Once a type is defined, it is persistentyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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.nononono
Secondary indexesyes infoAll search fields are automatically indexedyesno
SQL infoSupport of SQLSQL-like query languageyesnono
APIs and other access methodsJava API
RESTful HTTP/JSON API
ADO.NET
JDBC
ODBC
TinkerPop 3
Supported programming languages.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
All languages supporting JDBC/ODBC/ADO.NetGroovy
Java
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresyesJava Stored Proceduresnono
Triggersyes infoby using the 'percolation' featurenonono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication between multi datacentersnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsES-Hadoop Connectoryesnono
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 ConsistencynoneImmediate Consistency
Foreign keys infoReferential integritynoyesyes infoRelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesnoyes
Durability infoSupport for making data persistentyesyesoptionalyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Memcached and Redis integrationnoyesyes infousing specific database classes
User concepts infoAccess controlfine grained access rights according to SQL-standardnono

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More resources
ElasticsearchEsgynDBTinkerGraphTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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Recent citations in the news

Netflix Uses Elasticsearch Percolate Queries to Implement Reverse Searches Efficiently
29 April 2024, InfoQ.com

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Elastic Reports 8x Speed and 32x Efficiency Gains for Elasticsearch and Lucene Vector Database
26 April 2024, Business Wire

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