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DBMS > IBM Cloudant vs. Microsoft Access vs. Quasardb vs. RisingWave vs. Snowflake

System Properties Comparison IBM Cloudant vs. Microsoft Access vs. Quasardb vs. RisingWave vs. Snowflake

Editorial information provided by DB-Engines
NameIBM Cloudant  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonQuasardb  Xexclude from comparisonRisingWave  Xexclude from comparisonSnowflake  Xexclude from comparison
DescriptionDatabase 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.)Distributed, high-performance timeseries databaseA distributed RDBMS for stream processing, wire-compatible with PostgreSQLCloud-based data warehousing service for structured and semi-structured data
Primary database modelDocument storeRelational DBMSTime Series DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.68
Rank#106  Overall
#20  Document stores
Score104.92
Rank#11  Overall
#8  Relational DBMS
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Score0.58
Rank#242  Overall
#111  Relational DBMS
Score121.33
Rank#9  Overall
#6  Relational DBMS
Websitewww.ibm.com/­products/­cloudantwww.microsoft.com/­en-us/­microsoft-365/­accessquasar.aiwww.risingwave.com/­databasewww.snowflake.com
Technical documentationcloud.ibm.com/­docs/­Cloudantdeveloper.microsoft.com/­en-us/­accessdoc.quasar.ai/­masterdocs.risingwave.com/­docs/­current/­introdocs.snowflake.net/­manuals/­index.html
DeveloperIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014MicrosoftquasardbRisingWave LabsSnowflake Computing Inc.
Initial release20101992200920222014
Current release1902 (16.0.11328.20222), March 20193.14.1, January 20241.2, September 2023
License infoCommercial or Open Sourcecommercialcommercial infoBundled with Microsoft Officecommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud serviceyesnononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageErlangC++C++Rust
Server operating systemshostedWindows infoNot a real database server, but making use of DLLsBSD
Linux
OS X
Windows
Docker
Linux
macOS
hosted
Data schemeschema-freeyesschema-freeyesyes infosupport of semi-structured data formats (JSON, XML, Avro)
Typing infopredefined data types such as float or datenoyesyes infointeger and binaryStandard SQL-types and JSONyes
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.nononoyes
Secondary indexesyesyesyes infowith tagsyes
SQL infoSupport of SQLnoyes infobut not compliant to any SQL standardSQL-like query languageyesyes
APIs and other access methodsRESTful HTTP/JSON APIADO.NET
DAO
ODBC
OLE DB
HTTP APIJDBC
PostgreSQL wire protocol
CLI Client
JDBC
ODBC
Supported programming languagesC#
Java
JavaScript
Objective-C
PHP
Ruby
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Go
Java
JavaScript (Node.js)
Python
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresView functions (Map-Reduce) in JavaScriptyes infosince Access 2010 using the ACE-enginenoUDFs in Python or Javauser defined functions
Triggersyesyes infosince Access 2010 using the ACE-enginenonono infosimilar concept for controling cloud resources
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding infoconsistent hashingyes
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
noneSource-replica replication with selectable replication factoryes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnowith Hadoop integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoatomic operations within a document possibleACID infobut no files for transaction loggingACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayes infoOptimistic lockingyesyesyes
Durability infoSupport for making data persistentyesyes infobut no files for transaction loggingyes infoby using LevelDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoTransient modeyesno
User concepts infoAccess controlAccess rights for users can be defined per databaseno infoa simple user-level security was built in till version Access 2003Cryptographically strong user authentication and audit trailUsers and RolesUsers with fine-grained authorization concept, user roles and pluggable authentication

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IBM CloudantMicrosoft AccessQuasardbRisingWaveSnowflake
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