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DBMS > AgensGraph vs. Amazon SimpleDB vs. Apache Impala vs. DolphinDB vs. Microsoft Access

System Properties Comparison AgensGraph vs. Amazon SimpleDB vs. Apache Impala vs. DolphinDB vs. Microsoft Access

Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonAmazon SimpleDB  Xexclude from comparisonApache Impala  Xexclude from comparisonDolphinDB  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 ScioreAnalytic DBMS for HadoopDolphinDB 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.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 storeRelational DBMSTime Series DBMSRelational DBMS
Secondary database modelsDocument storeRelational 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
Score1.88
Rank#133  Overall
#23  Key-value stores
Score12.45
Rank#40  Overall
#24  Relational DBMS
Score4.03
Rank#78  Overall
#6  Time Series DBMS
Score101.16
Rank#11  Overall
#8  Relational DBMS
Websitebitnine.net/­agensgraphaws.amazon.com/­simpledbimpala.apache.orgwww.dolphindb.comwww.microsoft.com/­en-us/­microsoft-365/­access
Technical documentationbitnine.net/­documentationdocs.aws.amazon.com/­simpledbimpala.apache.org/­impala-docs.htmldocs.dolphindb.cn/­en/­help200/­index.htmldeveloper.microsoft.com/­en-us/­access
DeveloperBitnine Global Inc.AmazonApache Software Foundation infoApache top-level project, originally developed by ClouderaDolphinDB, IncMicrosoft
Initial release20162007201320181992
Current release2.1, December 20184.1.0, June 2022v2.00.4, January 20221902 (16.0.11328.20222), March 2019
License infoCommercial or Open SourceOpen Source infoApache License 2.0commercialOpen Source infoApache Version 2commercial infofree community version availablecommercial 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++C++C++
Server operating systemsLinux
OS X
Windows
hostedLinuxLinux
Windows
Windows infoNot a real database server, but making use of DLLs
Data schemedepending on used data modelschema-freeyesyesyes
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 automaticallyyesyesyes
SQL infoSupport of SQLyesnoSQL-like DML and DDL statementsSQL-like query languageyes infobut not compliant to any SQL standard
APIs and other access methodsCypher Query Language
JDBC
RESTful HTTP APIJDBC
ODBC
JDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
ADO.NET
DAO
ODBC
OLE DB
Supported programming languagesC
Java
JavaScript
Python
.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
All languages supporting JDBC/ODBCC#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
Server-side scripts infoStored proceduresyesnoyes infouser defined functions and integration of map-reduceyesyes infosince Access 2010 using the ACE-engine
Triggersnonononoyes 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 applicationShardinghorizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesselectable replication factoryesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infoquery execution via MapReduceyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency infocan be specified for read operations
Eventual ConsistencyImmediate Consistency
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 applicationnoyesACID 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.nonoyes
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 rights for users, groups and roles infobased on Apache Sentry and KerberosAdministrators, Users, Groupsno infoa simple user-level security was built in till version Access 2003

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More resources
AgensGraphAmazon SimpleDBApache ImpalaDolphinDBMicrosoft Access
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