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DBMS > EXASOL vs. FileMaker vs. Microsoft Access vs. SAP HANA vs. Splice Machine

System Properties Comparison EXASOL vs. FileMaker vs. Microsoft Access vs. SAP HANA vs. Splice Machine

Editorial information provided by DB-Engines
NameEXASOL  Xexclude from comparisonFileMaker  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonSAP HANA  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.FileMaker is a cross-platform RDBMS that includes a GUI frontend.Microsoft 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.)In-memory, column based data store. Available as appliance or cloud serviceOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelRelational DBMSRelational DBMSRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS infowith SAP Hana, Enterprise Edition
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.76
Rank#139  Overall
#62  Relational DBMS
Score47.91
Rank#20  Overall
#14  Relational DBMS
Score101.16
Rank#11  Overall
#8  Relational DBMS
Score44.27
Rank#23  Overall
#16  Relational DBMS
Score0.54
Rank#252  Overall
#115  Relational DBMS
Websitewww.exasol.comwww.claris.com/­filemakerwww.microsoft.com/­en-us/­microsoft-365/­accesswww.sap.com/­products/­hana.htmlsplicemachine.com
Technical documentationwww.exasol.com/­resourceswww.claris.com/­resources/­documentationdeveloper.microsoft.com/­en-us/­accesshelp.sap.com/­hanasplicemachine.com/­how-it-works
DeveloperExasolClaris infoa subsidiary of AppleMicrosoftSAPSplice Machine
Initial release20001983199220102014
Current release19.4.1, November 20211902 (16.0.11328.20222), March 20192.0 SPS07 (April 4, 2023), April 20233.1, March 2021
License infoCommercial or Open Sourcecommercialcommercialcommercial infoBundled with Microsoft OfficecommercialOpen Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenononono infoalso available as a cloud based serviceno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++Java
Server operating systemsiOS infoclient part only
Linux
OS X
Windows
Windows infoNot a real database server, but making use of DLLsAppliance or cloud-serviceLinux
OS X
Solaris
Windows
Data schemeyesyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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 infoA http query request can return the data in XML formatno
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLyesyes infovia pluginsyes infobut not compliant to any SQL standardyesyes
APIs and other access methods.Net
JDBC
ODBC
WebSocket
Filemaker WebDirect
JDBC
ODBC
ADO.NET
DAO
ODBC
OLE DB
JDBC
ODBC
JDBC
Native Spark Datasource
ODBC
Supported programming languagesJava
Lua
Python
R
PHPC
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresuser defined functionsyesyes infosince Access 2010 using the ACE-engineSQLScript, Ryes infoJava
Triggersyesyesyes infosince Access 2010 using the ACE-engineyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingnonenoneyesShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication, warm standby infosince Version 14noneyesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoHadoop integrationnononoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID infobut no files for transaction loggingACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyes 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.yesyesyes
User concepts infoAccess controlAccess rights for users, groups and roles according to SQL-standardsimple rights management via user accounts and connection to external directory servicesno infoa simple user-level security was built in till version Access 2003yesAccess rights for users, groups and roles according to SQL-standard

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More resources
EXASOLFileMakerMicrosoft AccessSAP HANASplice Machine
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