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DBMS > Microsoft Access vs. RethinkDB vs. Snowflake vs. Splice Machine

System Properties Comparison Microsoft Access vs. RethinkDB vs. Snowflake vs. Splice Machine

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Editorial information provided by DB-Engines
NameMicrosoft Access  Xexclude from comparisonRethinkDB  Xexclude from comparisonSnowflake  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionMicrosoft 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.)DBMS for the Web with a mechanism to push updated query results to applications in realtime.Cloud-based data warehousing service for structured and semi-structured dataOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelRelational DBMSDocument storeRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score107.93
Rank#11  Overall
#8  Relational DBMS
Score2.81
Rank#110  Overall
#20  Document stores
Score125.38
Rank#9  Overall
#6  Relational DBMS
Score0.54
Rank#257  Overall
#118  Relational DBMS
Websitewww.microsoft.com/­en-us/­microsoft-365/­accessrethinkdb.comwww.snowflake.comsplicemachine.com
Technical documentationdeveloper.microsoft.com/­en-us/­accessrethinkdb.com/­docsdocs.snowflake.net/­manuals/­index.htmlsplicemachine.com/­how-it-works
DeveloperMicrosoftThe Linux Foundation infosince July 2017Snowflake Computing Inc.Splice Machine
Initial release1992200920142014
Current release1902 (16.0.11328.20222), March 20192.4.1, August 20203.1, March 2021
License infoCommercial or Open Sourcecommercial infoBundled with Microsoft OfficeOpen Source infoApache Version 2commercialOpen Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++Java
Server operating systemsWindows infoNot a real database server, but making use of DLLsLinux
OS X
Windows
hostedLinux
OS X
Solaris
Windows
Data schemeyesschema-freeyes infosupport of semi-structured data formats (JSON, XML, Avro)yes
Typing infopredefined data types such as float or dateyesyes infostring, binary, float, bool, date, geometryyesyes
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.noyes
Secondary indexesyesyesyes
SQL infoSupport of SQLyes infobut not compliant to any SQL standardnoyesyes
APIs and other access methodsADO.NET
DAO
ODBC
OLE DB
CLI Client
JDBC
ODBC
JDBC
Native Spark Datasource
ODBC
Supported programming languagesC
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
C infocommunity-supported driver
C# infocommunity-supported driver
C++ infocommunity-supported driver
Clojure infocommunity-supported driver
Dart infocommunity-supported driver
Erlang infocommunity-supported driver
Go infocommunity-supported driver
Haskell infocommunity-supported driver
Java infoofficial driver
JavaScript (Node.js) infoofficial driver
Lisp infocommunity-supported driver
Lua infocommunity-supported driver
Objective-C infocommunity-supported driver
Perl infocommunity-supported driver
PHP infocommunity-supported driver
Python infoofficial driver
Ruby infoofficial driver
Scala infocommunity-supported driver
JavaScript (Node.js)
Python
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresyes infosince Access 2010 using the ACE-engineuser defined functionsyes infoJava
Triggersyes infosince Access 2010 using the ACE-engineClient-side triggers through changefeedsno infosimilar concept for controling cloud resourcesyes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding inforange basedyesShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationyesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infobut no files for transaction loggingAtomic single-document operationsACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoMVCC basedyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyes infobut no files for transaction loggingyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlno infoa simple user-level security was built in till version Access 2003yes infousers and table-level permissionsUsers with fine-grained authorization concept, user roles and pluggable authenticationAccess rights for users, groups and roles according to SQL-standard

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More resources
Microsoft AccessRethinkDBSnowflakeSplice Machine
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