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DBMS > AgensGraph vs. Alibaba Cloud MaxCompute vs. DolphinDB vs. Google Cloud Datastore vs. RDF4J

System Properties Comparison AgensGraph vs. Alibaba Cloud MaxCompute vs. DolphinDB vs. Google Cloud Datastore vs. RDF4J

Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonAlibaba Cloud MaxCompute  Xexclude from comparisonDolphinDB  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparison
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLMaxCompute (previously known as ODPS) is a general purpose, fully managed, multi-tenancy data processing platform for large-scale data warehousingDolphinDB is a high performance Time Series DBMS. It is integrated with an easy-to-use fully featured programming language and a high-volume high-velocity streaming analytics system. It offers operational simplicity, scalability, fault tolerance, and concurrency.Automatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.
Primary database modelGraph DBMS
Relational DBMS
Relational DBMS infoa graph-processing framework is available with the graphs being stored in tablesTime Series DBMSDocument storeRDF store
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.20
Rank#321  Overall
#27  Graph DBMS
#143  Relational DBMS
Score0.77
Rank#214  Overall
#98  Relational DBMS
Score4.13
Rank#80  Overall
#6  Time Series DBMS
Score4.47
Rank#76  Overall
#12  Document stores
Score0.69
Rank#230  Overall
#9  RDF stores
Websitebitnine.net/­agensgraphwww.alibabacloud.com/­product/­maxcomputewww.dolphindb.comcloud.google.com/­datastorerdf4j.org
Technical documentationbitnine.net/­documentationwww.alibabacloud.com/­help/­en/­maxcomputedocs.dolphindb.cn/­en/­help200/­index.htmlcloud.google.com/­datastore/­docsrdf4j.org/­documentation
DeveloperBitnine Global Inc.AlibabaDolphinDB, IncGoogleSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release20162016201820082004
Current release2.1, December 2018v2.00.4, January 2022
License infoCommercial or Open SourceOpen Source infoApache License 2.0commercialcommercial infofree community version availablecommercialOpen Source infoEclipse Distribution License (EDL), v1.0.
Cloud-based only infoOnly available as a cloud servicenoyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC++Java
Server operating systemsLinux
OS X
Windows
hostedLinux
Windows
hostedLinux
OS X
Unix
Windows
Data schemedepending on used data modelyesyesschema-freeyes infoRDF Schemas
Typing infopredefined data types such as float or dateyesyesyesyes, 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.nononono
Secondary indexesyesnoyesyesyes
SQL infoSupport of SQLyesSQL-like query languageSQL-like query languageSQL-like query language (GQL)no
APIs and other access methodsCypher Query Language
JDBC
Fluentd
Flume
MaxCompute Console
JDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
gRPC (using protocol buffers) API
RESTful HTTP/JSON API
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Supported programming languagesC
Java
JavaScript
Python
JavaC#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Java
PHP
Python
Server-side scripts infoStored proceduresyesuser defined functions infoin Javayesusing Google App Engineyes
TriggersnononoCallbacks using the Google Apps Engineyes
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritanceSharding infoImplicit feature of the cloud servicehorizontal partitioningShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes infoImplicit feature of the cloud serviceyesMulti-source replication using Paxosnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyesyes infousing Google Cloud Dataflowno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate 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.
Foreign keys infoReferential integrityyesnonoyes infovia ReferenceProperties or Ancestor paths
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoyesACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACID infoIsolation support depends on the API used
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoin-memory storage is supported as well
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users and rolesAdministrators, Users, GroupsAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)no

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More resources
AgensGraphAlibaba Cloud MaxComputeDolphinDBGoogle Cloud DatastoreRDF4J infoformerly known as Sesame
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