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DBMS > Microsoft Access vs. Snowflake vs. Splice Machine

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

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Editorial information provided by DB-Engines
NameMicrosoft Access  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.)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 DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score114.84
Rank#10  Overall
#7  Relational DBMS
Score46.54
Rank#23  Overall
#15  Relational DBMS
Score0.71
Rank#206  Overall
#102  Relational DBMS
Websitewww.microsoft.com/­en-us/­microsoft-365/­accesswww.snowflake.comsplicemachine.com
Technical documentationdeveloper.microsoft.com/­en-us/­accessdocs.snowflake.net/­manuals/­index.htmldoc.splicemachine.com
DeveloperMicrosoftSnowflake Computing Inc.Splice Machine
Initial release199220142014
Current release1902 (16.0.11328.20222), March 20193.1, March 2021
License infoCommercial or Open Sourcecommercial infoBundled with Microsoft OfficecommercialOpen Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++Java
Server operating systemsWindows infoNot a real database server, but making use of DLLshostedLinux
OS X
Solaris
Windows
Data schemeyesyes infosupport of semi-structured data formats (JSON, XML, Avro)yes
Typing infopredefined data types such as float or dateyesyesyes
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.yes
Secondary indexesyesyes
SQL infoSupport of SQLyes infobut not compliant to any SQL standardyesyes
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
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-engineno infosimilar concept for controling cloud resourcesyes
Partitioning methods infoMethods for storing different data on different nodesnoneyesShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infobut no files for transaction loggingACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyes 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.noyes
User concepts infoAccess controlno infoa simple user-level security was built in till version Access 2003Users with fine-grained authorization concept, user roles and pluggable authenticationAccess rights for users, groups and roles according to SQL-standard
More information provided by the system vendor
Microsoft AccessSnowflakeSplice Machine
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More resources
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