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DBMS > AgensGraph vs. Amazon DynamoDB vs. Apache Phoenix vs. PostgreSQL

System Properties Comparison AgensGraph vs. Amazon DynamoDB vs. Apache Phoenix vs. PostgreSQL

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Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonAmazon DynamoDB  Xexclude from comparisonApache Phoenix  Xexclude from comparisonPostgreSQL  Xexclude from comparison
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLHosted, scalable database service by Amazon with the data stored in Amazons cloudA scale-out RDBMS with evolutionary schema built on Apache HBaseWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQL
Primary database modelGraph DBMS
Relational DBMS
Document store
Key-value store
Relational DBMSRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.
Secondary database modelsDocument store
Graph DBMS infowith Apache Age
Spatial DBMS
Vector DBMS infowith pgvector extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.20
Rank#321  Overall
#27  Graph DBMS
#143  Relational DBMS
Score74.07
Rank#17  Overall
#3  Document stores
#2  Key-value stores
Score1.97
Rank#126  Overall
#59  Relational DBMS
Score645.54
Rank#4  Overall
#4  Relational DBMS
Websitebitnine.net/­agensgraphaws.amazon.com/­dynamodbphoenix.apache.orgwww.postgresql.org
Technical documentationbitnine.net/­documentationdocs.aws.amazon.com/­dynamodbphoenix.apache.orgwww.postgresql.org/­docs
DeveloperBitnine Global Inc.AmazonApache Software FoundationPostgreSQL Global Development Group infowww.postgresql.org/­developer
Initial release2016201220141989 info1989: Postgres, 1996: PostgreSQL
Current release2.1, December 20185.0-HBase2, July 2018 and 4.15-HBase1, December 201916.3, May 2024
License infoCommercial or Open SourceOpen Source infoApache License 2.0commercial infofree tier for a limited amount of database operationsOpen Source infoApache Version 2.0Open Source infoBSD
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCJavaC
Server operating systemsLinux
OS X
Windows
hostedLinux
Unix
Windows
FreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Data schemedepending on used data modelschema-freeyes infolate-bound, schema-on-read capabilitiesyes
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.nonoyes infospecific XML-type available, but no XML query functionality.
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyesnoyesyes infostandard with numerous extensions
APIs and other access methodsCypher Query Language
JDBC
RESTful HTTP APIJDBCADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesC
Java
JavaScript
Python
.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
C
C#
C++
Go
Groovy
Java
PHP
Python
Scala
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresyesnouser defined functionsuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.
Triggersnoyes infoby integration with AWS Lambdanoyes
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritanceShardingShardingpartitioning by range, list and (since PostgreSQL 11) by hash
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesMulti-source replication
Source-replica replication
Source-replica replication infoother methods possible by using 3rd party extensions
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 ConsistencyEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate Consistency or Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoACID across one or more tables within a single AWS account and regionACIDACID
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 roles can be defined via the AWS Identity and Access Management (IAM)Access 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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More resources
AgensGraphAmazon DynamoDBApache PhoenixPostgreSQL
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