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DBMS > Amazon DocumentDB vs. DolphinDB vs. Drizzle vs. Hawkular Metrics vs. Microsoft Access

System Properties Comparison Amazon DocumentDB vs. DolphinDB vs. Drizzle vs. Hawkular Metrics vs. Microsoft Access

Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonDolphinDB  Xexclude from comparisonDrizzle  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonMicrosoft Access  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceDolphinDB 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.MySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.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 modelDocument storeTime Series DBMSRelational DBMSTime Series DBMSRelational DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#131  Overall
#24  Document stores
Score4.03
Rank#78  Overall
#6  Time Series DBMS
Score0.08
Rank#366  Overall
#39  Time Series DBMS
Score101.16
Rank#11  Overall
#8  Relational DBMS
Websiteaws.amazon.com/­documentdbwww.dolphindb.comwww.hawkular.orgwww.microsoft.com/­en-us/­microsoft-365/­access
Technical documentationaws.amazon.com/­documentdb/­resourcesdocs.dolphindb.cn/­en/­help200/­index.htmlwww.hawkular.org/­hawkular-metrics/­docs/­user-guidedeveloper.microsoft.com/­en-us/­access
DeveloperDolphinDB, IncDrizzle project, originally started by Brian AkerCommunity supported by Red HatMicrosoft
Initial release20192018200820141992
Current releasev2.00.4, January 20227.2.4, September 20121902 (16.0.11328.20222), March 2019
License infoCommercial or Open Sourcecommercialcommercial infofree community version availableOpen Source infoGNU GPLOpen Source infoApache 2.0commercial infoBundled with Microsoft Office
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++JavaC++
Server operating systemshostedLinux
Windows
FreeBSD
Linux
OS X
Linux
OS X
Windows
Windows infoNot a real database server, but making use of DLLs
Data schemeschema-freeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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 indexesyesyesyesnoyes
SQL infoSupport of SQLnoSQL-like query languageyes infowith proprietary extensionsnoyes infobut not compliant to any SQL standard
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)JDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
JDBCHTTP RESTADO.NET
DAO
ODBC
OLE DB
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
C#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
C
C++
Java
PHP
Go
Java
Python
Ruby
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
Server-side scripts infoStored proceduresnoyesnonoyes infosince Access 2010 using the ACE-engine
Triggersnonono infohooks for callbacks inside the server can be used.yes infovia Hawkular Alertingyes infosince Access 2010 using the ACE-engine
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioningShardingSharding infobased on Cassandranone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasyesMulti-source replication
Source-replica replication
selectable replication factor infobased on Cassandranone
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)yesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsyesACIDnoACID 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.yesno
User concepts infoAccess controlAccess rights for users and rolesAdministrators, Users, GroupsPluggable authentication mechanisms infoe.g. LDAP, HTTPnono infoa simple user-level security was built in till version Access 2003

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More resources
Amazon DocumentDBDolphinDBDrizzleHawkular MetricsMicrosoft Access
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