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DBMS > AgensGraph vs. AllegroGraph vs. Google Cloud Datastore vs. MySQL

System Properties Comparison AgensGraph vs. AllegroGraph vs. Google Cloud Datastore vs. MySQL

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Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonAllegroGraph  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonMySQL  Xexclude from comparison
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLHigh performance, persistent RDF store with additional support for Graph DBMSAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformWidely used open source RDBMS
Primary database modelGraph DBMS
Relational DBMS
Document store infowith version 6.5
Graph DBMS
RDF store
Vector DBMS
Document storeRelational DBMS infoKey/Value like access via memcached API
Secondary database modelsSpatial DBMSDocument store
Spatial 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
Score1.13
Rank#179  Overall
#30  Document stores
#17  Graph DBMS
#7  RDF stores
#8  Vector DBMS
Score4.36
Rank#72  Overall
#12  Document stores
Score1061.34
Rank#2  Overall
#2  Relational DBMS
Websitebitnine.net/­agensgraphallegrograph.comcloud.google.com/­datastorewww.mysql.com
Technical documentationbitnine.net/­documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmlcloud.google.com/­datastore/­docsdev.mysql.com/­doc
DeveloperBitnine Global Inc.Franz Inc.GoogleOracle infosince 2010, originally MySQL AB, then Sun
Initial release2016200420081995
Current release2.1, December 20188.0, December 20238.4.0, April 2024
License infoCommercial or Open SourceOpen Source infoApache License 2.0commercial infoLimited community edition freecommercialOpen Source infoGPL version 2. Commercial licenses with extended functionallity are available
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Aiven for MySQL: Fully managed MySQL, deployable in the cloud of your choice, with seamless integrations and lightning-fast setup.
Implementation languageCC and C++
Server operating systemsLinux
OS X
Windows
Linux
OS X
Windows
hostedFreeBSD
Linux
OS X
Solaris
Windows
Data schemedepending on used data modelyes infoRDF schemasschema-freeyes
Typing infopredefined data types such as float or dateyesyesyes, details hereyes
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.nono infobulk load of XML files possiblenoyes
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyesSPARQL is used as query languageSQL-like query language (GQL)yes infowith proprietary extensions
APIs and other access methodsCypher Query Language
JDBC
RESTful HTTP API
SPARQL
gRPC (using protocol buffers) API
RESTful HTTP/JSON API
ADO.NET
JDBC
ODBC
Proprietary native API
Supported programming languagesC
Java
JavaScript
Python
C#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresyesyes infoJavaScript or Common Lispusing Google App Engineyes infoproprietary syntax
TriggersnoyesCallbacks using the Google Apps Engineyes
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritancewith FederationShardinghorizontal partitioning, sharding with MySQL Cluster or MySQL Fabric
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication
Source-replica replication
Multi-source replication using PaxosMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infousing Google Cloud Dataflowno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.Immediate Consistency
Foreign keys infoReferential integrityyesnoyes infovia ReferenceProperties or Ancestor pathsyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACID infonot for MyISAM storage engine
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infotable locks or row locks depending on storage engine
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.nononoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardUsers with fine-grained authorization concept, user roles and pluggable authenticationAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Users with fine-grained authorization concept infono user groups or roles
More information provided by the system vendor
AgensGraphAllegroGraphGoogle Cloud DatastoreMySQL
Specific characteristicsKnowledge Graph Platform Leader FedShard - Designed for Entity-Event Knowledge Graph...
» more
Competitive advantagesAllegroGraph is uniquely suited to support adhoc queries through SPARQL, Prolog and...
» more
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