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DBMS > Faircom EDGE vs. Microsoft Access vs. OpenTSDB vs. Splice Machine

System Properties Comparison Faircom EDGE vs. Microsoft Access vs. OpenTSDB vs. Splice Machine

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Editorial information provided by DB-Engines
NameFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonOpenTSDB  Xexclude from comparisonSplice Machine  Xexclude from comparison
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.)Scalable Time Series DBMS based on HBaseOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelKey-value store
Relational DBMS
Relational DBMSTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.02
Rank#368  Overall
#54  Key-value stores
#156  Relational DBMS
Score104.92
Rank#11  Overall
#8  Relational DBMS
Score1.68
Rank#146  Overall
#12  Time Series DBMS
Score0.54
Rank#250  Overall
#114  Relational DBMS
Websitewww.faircom.com/­products/­faircom-edgewww.microsoft.com/­en-us/­microsoft-365/­accessopentsdb.netsplicemachine.com
Technical documentationdocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmldeveloper.microsoft.com/­en-us/­accessopentsdb.net/­docs/­build/­html/­index.htmlsplicemachine.com/­how-it-works
DeveloperFairCom CorporationMicrosoftcurrently maintained by Yahoo and other contributorsSplice Machine
Initial release1979199220112014
Current releaseV3, October 20201902 (16.0.11328.20222), March 20193.1, March 2021
License infoCommercial or Open Sourcecommercial infoRestricted, free version availablecommercial infoBundled with Microsoft OfficeOpen Source infoLGPLOpen Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageANSI C, C++C++JavaJava
Server operating systemsAndroid
Linux infoARM, x86
Raspbian
Windows
Windows infoNot a real database server, but making use of DLLsLinux
Windows
Linux
OS X
Solaris
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesschema-freeyes
Typing infopredefined data types such as float or dateyes, ANSI Standard SQL Typesyesnumeric data for metrics, strings for tagsyes
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.yesno
Secondary indexesyesyesnoyes
SQL infoSupport of SQLyes infoANSI SQL queriesyes infobut not compliant to any SQL standardnoyes
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
HTTP API
Telnet API
JDBC
Native Spark Datasource
ODBC
Supported programming languagesC
C#
C++
Java
JavaScript
PHP
Python
VB.Net
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
Erlang
Go
Java
Python
R
Ruby
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresyes info.Net, JavaScript, C/C++yes infosince Access 2010 using the ACE-enginenoyes infoJava
Triggersyesyes infosince Access 2010 using the ACE-enginenoyes
Partitioning methods infoMethods for storing different data on different nodesFile partitioning infoCustomizable business rules for partitioningnoneSharding infobased on HBaseShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoSynchronous and asynchronous realtime replication based on transaction logsnoneselectable replication factor infobased on HBaseMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Tunable Consistency
Immediate Consistency infobased on HBaseImmediate Consistency
Foreign keys infoReferential integrityyes infowhen using SQLyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infobut no files for transaction loggingnoACID
Concurrency infoSupport for concurrent manipulation of datayes infoacross SQL and NoSQLyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyes 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.yesnoyes
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 2003noAccess rights for users, groups and roles according to SQL-standard

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More resources
Faircom EDGE infoformerly c-treeEDGEMicrosoft AccessOpenTSDBSplice Machine
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