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DBMS > AgensGraph vs. Elasticsearch vs. Lovefield

System Properties Comparison AgensGraph vs. Elasticsearch vs. Lovefield

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Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonElasticsearch  Xexclude from comparisonLovefield  Xexclude from comparison
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLA 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 metricEmbeddable relational database for web apps written in pure JavaScript
Primary database modelGraph DBMS
Relational DBMS
Search engineRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.07
Rank#377  Overall
#37  Graph DBMS
#156  Relational DBMS
Score139.07
Rank#8  Overall
#1  Search engines
Score0.58
Rank#263  Overall
#123  Relational DBMS
Websitebitnine.netwww.elastic.co/­elasticsearchgoogle.github.io/­lovefield
Technical documentationbitnine.net/­documentationwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.md
DeveloperBitnine Global Inc.ElasticGoogle
Initial release201620102014
Current release2.1, December 20188.6, January 20232.1.12, February 2017
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoElastic LicenseOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCJavaJavaScript
Server operating systemsLinux
OS X
Windows
All OS with a Java VMserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, Safari
Data schemedepending on used data modelschema-free infoFlexible type definitions. Once a type is defined, it is persistentyes
Typing infopredefined data types such as float or dateyesyesyes
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.nonono
Secondary indexesyesyes infoAll search fields are automatically indexedyes
SQL infoSupport of SQLyesSQL-like query languageSQL-like query language infovia JavaScript builder pattern
APIs and other access methodsCypher Query Language
JDBC
Java API
RESTful HTTP/JSON API
Supported programming languagesC
Java
JavaScript
Python
.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
JavaScript
Server-side scripts infoStored proceduresyesyesno
Triggersnoyes infoby using the 'percolation' featureUsing read-only observers
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritanceShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoES-Hadoop Connectorno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, all
Foreign keys infoReferential integrityyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes, by using IndexedDB or the cloud service Firebase Realtime Database
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noMemcached and Redis integrationyes infousing MemoryDB
User concepts infoAccess controlfine grained access rights according to SQL-standardno

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AgensGraphElasticsearchLovefield
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