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DBMS > Cloudant vs. DolphinDB vs. Microsoft Access vs. Microsoft Azure Cosmos DB vs. Microsoft Azure Data Explorer

System Properties Comparison Cloudant vs. DolphinDB vs. Microsoft Access vs. Microsoft Azure Cosmos DB vs. Microsoft Azure Data Explorer

Editorial information provided by DB-Engines
NameCloudant  Xexclude from comparisonDolphinDB  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparisonMicrosoft Azure Data Explorer  Xexclude from comparison
DescriptionDatabase as a Service offering based on Apache CouchDBTime Series DBMS for big data, integrated with a lightweight distributed computing framework and a vector programming languageMicrosoft 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.)Globally distributed, horizontally scalable, multi-model database serviceFully managed big data interactive analytics platform
Primary database modelDocument storeTime Series DBMSRelational DBMSDocument store
Graph DBMS
Key-value store
Wide column store
Relational DBMS infocolumn oriented
Secondary database modelsDocument store infoIf a column is of type dynamic docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-types/­dynamic then it's possible to add arbitrary JSON documents in this cell
Event Store infothis is the general usage pattern at Microsoft. Billing, Logs, Telemetry events are stored in ADX and the state of an individual entity is defined by the arg_max(timestamps)
Search engine infosupport for complex search expressions docs.microsoft.com/­en-us/­azure/­kusto/­query/­parseoperator, FTS, Geospatial docs.microsoft.com/­en-us/­azure/­kusto/­query/­geo-point-to-geohash-function, distributed search -> ADX acts as a distributed search engine
Time Series DBMS infosee docs.microsoft.com/­en-us/­azure/­data-explorer/­time-series-analysis
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.67
Rank#79  Overall
#13  Document stores
Score0.31
Rank#242  Overall
#15  Time Series DBMS
Score121.92
Rank#10  Overall
#7  Relational DBMS
Score32.05
Rank#24  Overall
#3  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Score2.75
Rank#89  Overall
#45  Relational DBMS
Websitecloudant.comwww.dolphindb.comproducts.office.com/­en-us/­accessazure.microsoft.com/­services/­cosmos-dbazure.microsoft.com/­services/­data-explorer
Technical documentationdocs.cloudant.comwww.dolphindb.com/­helpmsdn.microsoft.com/­en-us/­library/­office/­ff604965.aspxdocs.microsoft.com/­en-us/­azure/­cosmos-dbdocs.microsoft.com/­en-us/­azure/­data-explorer
DeveloperIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014DolphinDB, IncMicrosoftMicrosoftMicrosoft
Initial release20102018199220142019
Current release1902 (16.0.11328.20222), March 2019cloud service with continuous releases
License infoCommercial or Open Sourcecommercialcommercial infofree community version availablecommercial infoBundled with Microsoft Officecommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnonoyesyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageErlangC++C++
Server operating systemshostedLinux
Windows
Windows infoNot a real database server, but making use of DLLshostedhosted
Data schemeschema-freeyesschema-freeFixed schema with schema-less datatypes (dynamic)
Typing infopredefined data types such as float or datenoyesyesyes infoJSON typesyes infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-types
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.nonoyes
Secondary indexesyesnoyesyes infoAll properties auto-indexed by defaultall fields are automatically indexed
SQL infoSupport of SQLnoSQL-like query languageyes infobut not compliant to any SQL standardSQL-like query languageKusto Query Language (KQL), SQL subset
APIs and other access methodsRESTful HTTP/JSON APIJDBC
ODBC
ADO.NET
DAO
ODBC
OLE DB
DocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
Supported programming languagesC#
Java
JavaScript
Objective-C
PHP
Ruby
C#
C++
Java
JavaScript
Python
R
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
.Net
Java
JavaScript (Node.js)
PowerShell
Python
R
Server-side scripts infoStored proceduresView functions (Map-Reduce) in JavaScriptyesyes infosince Access 2010 using the ACE-engineJavaScriptYes, possible languages: KQL, Python, R
Triggersyesnoyes infosince Access 2010 using the ACE-engineJavaScriptyes infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicy
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioningnoneSharding infoImplicit feature of the cloud serviceSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-master replication
Master-slave replication
yesnoneyes infoImplicit feature of the cloud serviceyes infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesnowith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*no
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyBounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Session Consistency
Eventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynonoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoatomic operations within a document possibleyesACID infobut no files for transaction loggingMulti-item ACID transactions with snapshot isolation within a partitionno
Concurrency infoSupport for concurrent manipulation of datayes infoOptimistic lockingyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infobut no files for transaction loggingyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlAccess rights for users can be defined per databaseAdministrators, Users, Groupsno infoa simple user-level security was built in till version Access 2003Access rights can be defined down to the item levelAzure Active Directory Authentication
More information provided by the system vendor
CloudantDolphinDBMicrosoft AccessMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBMicrosoft Azure Data Explorer
Specific characteristicsAzure Data Explorer is a fast and highly scalable data exploration service for log...
» more
Competitive advantagesKusto Query Language (innovative query language, optimized for high performance data...
» more
Typical application scenariosIoT applications IoT devices generate billions of sensor readings. Normalizing and...
» more
Key customersMicrosoft, DocuSign, Taboola, Bosch, Siemens Healthineers, Bühler, Ecolab, Zoomd
» more
Market metricsAzure Data Explorer is the data service for Azure Monitor, Azure Time Series Insights,...
» more

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CloudantDolphinDBMicrosoft AccessMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBMicrosoft Azure Data Explorer
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