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DBMS > Microsoft Access vs. Snowflake vs. Splice Machine vs. Teradata Aster

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

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Editorial information provided by DB-Engines
NameMicrosoft Access  Xexclude from comparisonSnowflake  Xexclude from comparisonSplice Machine  Xexclude from comparisonTeradata Aster  Xexclude from comparison
Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
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 SparkPlatform for big data analytics on multistructured data sources and types
Primary database modelRelational DBMSRelational DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score107.93
Rank#11  Overall
#8  Relational DBMS
Score125.38
Rank#9  Overall
#6  Relational DBMS
Score0.54
Rank#257  Overall
#118  Relational DBMS
Websitewww.microsoft.com/­en-us/­microsoft-365/­accesswww.snowflake.comsplicemachine.com
Technical documentationdeveloper.microsoft.com/­en-us/­accessdocs.snowflake.net/­manuals/­index.htmlsplicemachine.com/­how-it-works
DeveloperMicrosoftSnowflake Computing Inc.Splice MachineTeradata
Initial release1992201420142005
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 availablecommercial
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++Java
Server operating systemsWindows infoNot a real database server, but making use of DLLshostedLinux
OS X
Solaris
Windows
Linux
Data schemeyesyes infosupport of semi-structured data formats (JSON, XML, Avro)yesFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Store
Typing infopredefined data types such as float or dateyesyesyesyes
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.yesyes infoin Aster File Store
Secondary indexesyesyesyes
SQL infoSupport of SQLyes infobut not compliant to any SQL standardyesyesyes
APIs and other access methodsADO.NET
DAO
ODBC
OLE DB
CLI Client
JDBC
ODBC
JDBC
Native Spark Datasource
ODBC
ADO.NET
JDBC
ODBC
OLE DB
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
C
C#
C++
Java
Python
R
Server-side scripts infoStored proceduresyes infosince Access 2010 using the ACE-engineuser defined functionsyes infoJavaR packages
Triggersyes infosince Access 2010 using the ACE-engineno infosimilar concept for controling cloud resourcesyesno
Partitioning methods infoMethods for storing different data on different nodesnoneyesShared Nothhing Auto-Sharding, Columnar PartitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesMulti-source replication
Source-replica replication
yes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoYes, via Full Spark Integrationyes infoSQL Map-Reduce Framework
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyesyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infobut no files for transaction loggingACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
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.noyesno
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-standardfine grained access rights according to SQL-standard

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More resources
Microsoft AccessSnowflakeSplice MachineTeradata Aster
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