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DBMS > Databricks vs. DolphinDB vs. IBM Cloudant vs. Microsoft Access

System Properties Comparison Databricks vs. DolphinDB vs. IBM Cloudant vs. Microsoft Access

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonDolphinDB  Xexclude from comparisonIBM Cloudant  Xexclude from comparisonMicrosoft Access  Xexclude from comparison
DescriptionThe Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.DolphinDB 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.Database as a Service offering based on Apache CouchDBMicrosoft 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 store
Relational DBMS
Time Series DBMSDocument storeRelational DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score4.13
Rank#80  Overall
#6  Time Series DBMS
Score2.68
Rank#106  Overall
#20  Document stores
Score104.92
Rank#11  Overall
#8  Relational DBMS
Websitewww.databricks.comwww.dolphindb.comwww.ibm.com/­products/­cloudantwww.microsoft.com/­en-us/­microsoft-365/­access
Technical documentationdocs.databricks.comdocs.dolphindb.cn/­en/­help200/­index.htmlcloud.ibm.com/­docs/­Cloudantdeveloper.microsoft.com/­en-us/­access
DeveloperDatabricksDolphinDB, IncIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014Microsoft
Initial release2013201820101992
Current releasev2.00.4, January 20221902 (16.0.11328.20222), March 2019
License infoCommercial or Open Sourcecommercialcommercial infofree community version availablecommercialcommercial infoBundled with Microsoft Office
Cloud-based only infoOnly available as a cloud serviceyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++ErlangC++
Server operating systemshostedLinux
Windows
hostedWindows infoNot a real database server, but making use of DLLs
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesschema-freeyes
Typing infopredefined data types such as float or dateyesnoyes
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.yesnono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLwith Databricks SQLSQL-like query languagenoyes infobut not compliant to any SQL standard
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
RESTful HTTP/JSON APIADO.NET
DAO
ODBC
OLE DB
Supported programming languagesPython
R
Scala
C#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
C#
Java
JavaScript
Objective-C
PHP
Ruby
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
Server-side scripts infoStored proceduresuser defined functions and aggregatesyesView functions (Map-Reduce) in JavaScriptyes infosince Access 2010 using the ACE-engine
Triggersnoyesyes infosince Access 2010 using the ACE-engine
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesMulti-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesno infoatomic operations within a document possibleACID infobut no files for transaction logging
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoOptimistic lockingyes
Durability infoSupport for making data persistentyesyesyesyes 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 controlAdministrators, Users, GroupsAccess rights for users can be defined per databaseno infoa simple user-level security was built in till version Access 2003
More information provided by the system vendor
DatabricksDolphinDBIBM CloudantMicrosoft Access
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
DatabricksDolphinDBIBM CloudantMicrosoft Access
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