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DBMS > AgensGraph vs. Apache Phoenix vs. Elasticsearch vs. Graph Engine vs. Yaacomo

System Properties Comparison AgensGraph vs. Apache Phoenix vs. Elasticsearch vs. Graph Engine vs. Yaacomo

Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonApache Phoenix  Xexclude from comparisonElasticsearch  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonYaacomo  Xexclude from comparison
Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLA scale-out RDBMS with evolutionary schema built on Apache HBaseA 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 distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelGraph DBMS
Relational DBMS
Relational DBMSSearch engineGraph DBMS
Key-value store
Relational DBMS
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.16
Rank#333  Overall
#30  Graph DBMS
#146  Relational DBMS
Score2.02
Rank#130  Overall
#63  Relational DBMS
Score134.78
Rank#7  Overall
#1  Search engines
Score0.62
Rank#240  Overall
#21  Graph DBMS
#35  Key-value stores
Websitebitnine.net/­agensgraphphoenix.apache.orgwww.elastic.co/­elasticsearchwww.graphengine.ioyaacomo.com
Technical documentationbitnine.net/­documentationphoenix.apache.orgwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlwww.graphengine.io/­docs/­manual
DeveloperBitnine Global Inc.Apache Software FoundationElasticMicrosoftQ2WEB GmbH
Initial release20162014201020102009
Current release2.1, December 20185.0-HBase2, July 2018 and 4.15-HBase1, December 20198.6, January 2023
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoApache Version 2.0Open Source infoElastic LicenseOpen Source infoMIT Licensecommercial
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 languageCJavaJava.NET and C
Server operating systemsLinux
OS X
Windows
Linux
Unix
Windows
All OS with a Java VM.NETAndroid
Linux
Windows
Data schemedepending on used data modelyes infolate-bound, schema-on-read capabilitiesschema-free infoFlexible type definitions. Once a type is defined, it is persistentyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nonononono
Secondary indexesyesyesyes infoAll search fields are automatically indexedyes
SQL infoSupport of SQLyesyesSQL-like query languagenoyes
APIs and other access methodsCypher Query Language
JDBC
JDBCJava API
RESTful HTTP/JSON API
RESTful HTTP APIJDBC
ODBC
Supported programming languagesC
Java
JavaScript
Python
C
C#
C++
Go
Groovy
Java
PHP
Python
Scala
.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
C#
C++
F#
Visual Basic
Server-side scripts infoStored proceduresyesuser defined functionsyesyes
Triggersnonoyes infoby using the 'percolation' featurenoyes
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritanceShardingShardinghorizontal partitioninghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication
Source-replica replication
yesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoHadoop integrationES-Hadoop Connectorno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual ConsistencyEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, allImmediate Consistency
Foreign keys infoReferential integrityyesnononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesMemcached and Redis integrationyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyfine grained access rights according to SQL-standard

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AgensGraphApache PhoenixElasticsearchGraph Engine infoformer name: TrinityYaacomo
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