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DBMS > AgensGraph vs. Amazon DocumentDB vs. Apache Phoenix vs. DataFS

System Properties Comparison AgensGraph vs. Amazon DocumentDB vs. Apache Phoenix vs. DataFS

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Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonAmazon DocumentDB  Xexclude from comparisonApache Phoenix  Xexclude from comparisonDataFS  Xexclude from comparison
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLFast, scalable, highly available, and fully managed MongoDB-compatible database serviceA scale-out RDBMS with evolutionary schema built on Apache HBaseAll 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.
Primary database modelGraph DBMS
Relational DBMS
Document storeRelational DBMSObject oriented DBMS
Secondary database modelsGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.23
Rank#315  Overall
#26  Graph DBMS
#140  Relational DBMS
Score1.91
Rank#131  Overall
#24  Document stores
Score2.06
Rank#123  Overall
#58  Relational DBMS
Score0.09
Rank#360  Overall
#17  Object oriented DBMS
Websitebitnine.net/­agensgraphaws.amazon.com/­documentdbphoenix.apache.orgnewdatabase.com
Technical documentationbitnine.net/­documentationaws.amazon.com/­documentdb/­resourcesphoenix.apache.orgdev.mobiland.com/­Overview.xsp
DeveloperBitnine Global Inc.Apache Software FoundationMobiland AG
Initial release2016201920142018
Current release2.1, December 20185.0-HBase2, July 2018 and 4.15-HBase1, December 20191.1.263, October 2022
License infoCommercial or Open SourceOpen Source infoApache License 2.0commercialOpen Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud servicenoyesnono
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
hostedLinux
Unix
Windows
Windows
Data schemedepending on used data modelschema-freeyes infolate-bound, schema-on-read capabilitiesClasses, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)
Typing infopredefined data types such as float or dateyesyesyesyes
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 indexesyesyesyesno
SQL infoSupport of SQLyesnoyesno
APIs and other access methodsCypher Query Language
JDBC
proprietary protocol using JSON (MongoDB compatible)JDBC.NET Client API
Proprietary client DLL
WinRT client
Supported programming languagesC
Java
JavaScript
Python
Go
Java
JavaScript (Node.js)
PHP
Python
C
C#
C++
Go
Groovy
Java
PHP
Python
Scala
.Net
C
C#
C++
VB.Net
Server-side scripts infoStored proceduresyesnouser defined functions
Triggersnononono, except callback-events from server when changes happened
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritancenoneShardingProprietary Sharding system
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)Hadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesno infotypically not used, however similar functionality with DBRef possiblenoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic single-document operationsACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users and rolesAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyWindows-Profile

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More resources
AgensGraphAmazon DocumentDBApache PhoenixDataFS
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