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DBMS > AgensGraph vs. Amazon SimpleDB vs. DolphinDB vs. Hawkular Metrics vs. Microsoft Access

System Properties Comparison AgensGraph vs. Amazon SimpleDB vs. DolphinDB vs. Hawkular Metrics vs. Microsoft Access

Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonAmazon SimpleDB  Xexclude from comparisonDolphinDB  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonMicrosoft Access  Xexclude from comparison
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLHosted simple database service by Amazon, with the data stored in the Amazon Cloud. infoThere is an unrelated product called SimpleDB developed by Edward ScioreDolphinDB 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.Hawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.Microsoft Access combines a backend RDBMS (JET / ACE Engine) with a GUI frontend for data manipulation and queries. infoThe Access frontend is often used for accessing other datasources (DBMS, Excel, etc.)
Primary database modelGraph DBMS
Relational DBMS
Key-value storeTime Series DBMS
Vector DBMS
Time Series DBMSRelational DBMS
Secondary database modelsRelational 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
Score1.89
Rank#128  Overall
#22  Key-value stores
Score2.72
Rank#100  Overall
#8  Time Series DBMS
#5  Vector DBMS
Score0.01
Rank#377  Overall
#39  Time Series DBMS
Score93.76
Rank#12  Overall
#8  Relational DBMS
Websitebitnine.net/­agensgraphaws.amazon.com/­simpledbwww.dolphindb.comwww.hawkular.orgwww.microsoft.com/­en-us/­microsoft-365/­access
Technical documentationbitnine.net/­documentationdocs.aws.amazon.com/­simpledbdocs.dolphindb.cn/­en/­help200/­index.htmlwww.hawkular.org/­hawkular-metrics/­docs/­user-guidedeveloper.microsoft.com/­en-us/­access
DeveloperBitnine Global Inc.AmazonDolphinDB, IncCommunity supported by Red HatMicrosoft
Initial release20162007201820141992
Current release2.1, December 2018v2.00.4, January 20221902 (16.0.11328.20222), March 2019
License infoCommercial or Open SourceOpen Source infoApache License 2.0commercialcommercial infofree community version availableOpen Source infoApache 2.0commercial infoBundled with Microsoft Office
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC++JavaC++
Server operating systemsLinux
OS X
Windows
hostedLinux
Windows
Linux
OS X
Windows
Windows infoNot a real database server, but making use of DLLs
Data schemedepending on used data modelschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyesnoyesyesyes
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.nonono
Secondary indexesyesyes infoAll columns are indexed automaticallyyesnoyes
SQL infoSupport of SQLyesnoSQL-like query languagenoyes infobut not compliant to any SQL standard
APIs and other access methodsCypher Query Language
JDBC
RESTful HTTP APIJDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
HTTP RESTADO.NET
DAO
ODBC
OLE DB
Supported programming languagesC
Java
JavaScript
Python
.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
C#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
Go
Java
Python
Ruby
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
Server-side scripts infoStored proceduresyesnoyesnoyes infosince Access 2010 using the ACE-engine
Triggersnononoyes infovia Hawkular Alertingyes infosince Access 2010 using the ACE-engine
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritancenone infoSharding must be implemented in the applicationhorizontal partitioningSharding infobased on Cassandranone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesyesselectable replication factor infobased on Cassandranone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Foreign keys infoReferential integrityyesnononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoConcurrent data updates can be detected by the applicationyesnoACID infobut no files for transaction logging
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infobut no files for transaction logging
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)Administrators, Users, Groupsnono infoa simple user-level security was built in till version Access 2003

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More resources
AgensGraphAmazon SimpleDBDolphinDBHawkular MetricsMicrosoft Access
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