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DBMS > AgensGraph vs. DataFS vs. Elasticsearch vs. Netezza vs. Yaacomo

System Properties Comparison AgensGraph vs. DataFS vs. Elasticsearch vs. Netezza vs. Yaacomo

Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonDataFS  Xexclude from comparisonElasticsearch  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  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 PostgreSQLAll data is stored inside objects which are linked by so-called link attributes. Objects consist of classes which can be extended and de-extended at runtime. Graphs can be defined with a struct.A 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 metricData warehouse and analytics appliance part of IBM PureSystemsOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelGraph DBMS
Relational DBMS
Object oriented DBMSSearch engineRelational DBMSRelational DBMS
Secondary database modelsGraph DBMSDocument store
Spatial DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.17
Rank#320  Overall
#29  Graph DBMS
#143  Relational DBMS
Score0.02
Rank#369  Overall
#18  Object oriented DBMS
Score128.79
Rank#8  Overall
#1  Search engines
Score7.56
Rank#48  Overall
#31  Relational DBMS
Websitebitnine.net/­agensgraphnewdatabase.comwww.elastic.co/­elasticsearchwww.ibm.com/­products/­netezzayaacomo.com
Technical documentationbitnine.net/­documentationdev.mobiland.com/­Overview.xspwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.html
DeveloperBitnine Global Inc.Mobiland AGElasticIBMQ2WEB GmbH
Initial release20162018201020002009
Current release2.1, December 20181.1.263, October 20228.6, January 2023
License infoCommercial or Open SourceOpen Source infoApache License 2.0commercialOpen Source infoElastic Licensecommercialcommercial
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 languageCJava
Server operating systemsLinux
OS X
Windows
WindowsAll OS with a Java VMLinux infoincluded in applianceAndroid
Linux
Windows
Data schemedepending on used data modelClasses, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)schema-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.nononono
Secondary indexesyesnoyes infoAll search fields are automatically indexedyesyes
SQL infoSupport of SQLyesnoSQL-like query languageyesyes
APIs and other access methodsCypher Query Language
JDBC
.NET Client API
Proprietary client DLL
WinRT client
Java API
RESTful HTTP/JSON API
JDBC
ODBC
OLE DB
JDBC
ODBC
Supported programming languagesC
Java
JavaScript
Python
.Net
C
C#
C++
VB.Net
.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
C
C++
Fortran
Java
Lua
Perl
Python
R
Server-side scripts infoStored proceduresyesyesyes
Triggersnono, except callback-events from server when changes happenedyes infoby using the 'percolation' featurenoyes
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritanceProprietary Sharding systemShardingShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesSource-replica replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoES-Hadoop Connectoryesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate 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 integrityyesyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoMemcached and Redis integrationyes
User concepts infoAccess controlfine grained access rights according to SQL-standardWindows-ProfileUsers with fine-grained authorization conceptfine grained access rights according to SQL-standard

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More resources
AgensGraphDataFSElasticsearchNetezza infoAlso called PureData System for Analytics by IBMYaacomo
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