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

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

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Editorial information provided by DB-Engines
NameMicrosoft Access  Xexclude from comparisonSphinx  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.)Open source search engine for searching in data from different sources, e.g. relational databasesOpen-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 DBMSSearch engineRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score107.93
Rank#11  Overall
#8  Relational DBMS
Score6.06
Rank#61  Overall
#6  Search engines
Score0.54
Rank#257  Overall
#118  Relational DBMS
Websitewww.microsoft.com/­en-us/­microsoft-365/­accesssphinxsearch.comsplicemachine.com
Technical documentationdeveloper.microsoft.com/­en-us/­accesssphinxsearch.com/­docssplicemachine.com/­how-it-works
DeveloperMicrosoftSphinx Technologies Inc.Splice MachineTeradata
Initial release1992200120142005
Current release1902 (16.0.11328.20222), March 20193.5.1, February 20233.1, March 2021
License infoCommercial or Open Sourcecommercial infoBundled with Microsoft OfficeOpen Source infoGPL version 2, commercial licence availableOpen Source infoAGPL 3.0, commercial license availablecommercial
Cloud-based only infoOnly available as a cloud servicenononono
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 DLLsFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
OS X
Solaris
Windows
Linux
Data schemeyesyesyesFlexible 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 dateyesnoyesyes
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 infoin Aster File Store
Secondary indexesyesyes infofull-text index on all search fieldsyesyes
SQL infoSupport of SQLyes infobut not compliant to any SQL standardSQL-like query language (SphinxQL)yesyes
APIs and other access methodsADO.NET
DAO
ODBC
OLE DB
Proprietary protocolJDBC
Native Spark Datasource
ODBC
ADO.NET
JDBC
ODBC
OLE DB
Supported programming languagesC
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
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-enginenoyes infoJavaR packages
Triggersyes infosince Access 2010 using the ACE-enginenoyesno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoPartitioning is done manually, search queries against distributed index is supportedShared Nothhing Auto-Sharding, Columnar PartitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnonenoneMulti-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 Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infobut no files for transaction loggingnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyes infobut no files for transaction loggingyes infoThe original contents of fields are not stored in the Sphinx index.yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlno infoa simple user-level security was built in till version Access 2003noAccess rights for users, groups and roles according to SQL-standardfine grained access rights according to SQL-standard

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More resources
Microsoft AccessSphinxSplice MachineTeradata Aster
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