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DBMS > Faircom EDGE vs. Microsoft Access vs. Spark SQL vs. STSdb vs. Trafodion

System Properties Comparison Faircom EDGE vs. Microsoft Access vs. Spark SQL vs. STSdb vs. Trafodion

Editorial information provided by DB-Engines
NameFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonSpark SQL  Xexclude from comparisonSTSdb  Xexclude from comparisonTrafodion  Xexclude from comparison
Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
DescriptionFairCom EDGE is an Industry 4.0 solution built to integrate, collect, aggregate and synchronize mission-critical data in edge computing environmentsMicrosoft 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.)Spark SQL is a component on top of 'Spark Core' for structured data processingKey-Value Store with special method for indexing infooptimized for high performance using a special indexing methodTransactional SQL-on-Hadoop DBMS
Primary database modelKey-value store
Relational DBMS
Relational DBMSRelational DBMSKey-value storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.09
Rank#362  Overall
#53  Key-value stores
#155  Relational DBMS
Score101.16
Rank#11  Overall
#8  Relational DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Score0.10
Rank#357  Overall
#51  Key-value stores
Websitewww.faircom.com/­products/­faircom-edgewww.microsoft.com/­en-us/­microsoft-365/­accessspark.apache.org/­sqlgithub.com/­STSSoft/­STSdb4trafodion.apache.org
Technical documentationdocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmldeveloper.microsoft.com/­en-us/­accessspark.apache.org/­docs/­latest/­sql-programming-guide.htmltrafodion.apache.org/­documentation.html
DeveloperFairCom CorporationMicrosoftApache Software FoundationSTS Soft SCApache Software Foundation, originally developed by HP
Initial release19791992201420112014
Current releaseV3, October 20201902 (16.0.11328.20222), March 20193.5.0 ( 2.13), September 20234.0.8, September 20152.3.0, February 2019
License infoCommercial or Open Sourcecommercial infoRestricted, free version availablecommercial infoBundled with Microsoft OfficeOpen Source infoApache 2.0Open Source infoGPLv2, commercial license availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageANSI C, C++C++ScalaC#C++, Java
Server operating systemsAndroid
Linux infoARM, x86
Raspbian
Windows
Windows infoNot a real database server, but making use of DLLsLinux
OS X
Windows
WindowsLinux
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesyesyesyes
Typing infopredefined data types such as float or dateyes, ANSI Standard SQL Typesyesyesyes infoprimitive types and user defined types (classes)yes
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.yesnono
Secondary indexesyesyesnonoyes
SQL infoSupport of SQLyes infoANSI SQL queriesyes infobut not compliant to any SQL standardSQL-like DML and DDL statementsnoyes
APIs and other access methodsADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
ADO.NET
DAO
ODBC
OLE DB
JDBC
ODBC
.NET Client APIADO.NET
JDBC
ODBC
Supported programming languagesC
C#
C++
Java
JavaScript
PHP
Python
VB.Net
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
Java
Python
R
Scala
C#
Java
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresyes info.Net, JavaScript, C/C++yes infosince Access 2010 using the ACE-enginenonoJava Stored Procedures
Triggersyesyes infosince Access 2010 using the ACE-enginenonono
Partitioning methods infoMethods for storing different data on different nodesFile partitioning infoCustomizable business rules for partitioningnoneyes, utilizing Spark CorenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoSynchronous and asynchronous realtime replication based on transaction logsnonenonenoneyes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Tunable Consistency
Immediate Consistency
Foreign keys infoReferential integrityyes infowhen using SQLyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infobut no files for transaction loggingnonoACID
Concurrency infoSupport for concurrent manipulation of datayes infoacross SQL and NoSQLyesyesyesyes
Durability infoSupport for making data persistentyesyes 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.yesnono
User concepts infoAccess controlFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.no infoa simple user-level security was built in till version Access 2003nonofine grained access rights according to SQL-standard

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More resources
Faircom EDGE infoformerly c-treeEDGEMicrosoft AccessSpark SQLSTSdbTrafodion
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