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DBMS > Datomic vs. Faircom EDGE vs. FileMaker vs. Graphite

System Properties Comparison Datomic vs. Faircom EDGE vs. FileMaker vs. Graphite

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Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonFileMaker  Xexclude from comparisonGraphite  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityFairCom EDGE is an Industry 4.0 solution built to integrate, collect, aggregate and synchronize mission-critical data in edge computing environmentsFileMaker is a cross-platform RDBMS that includes a GUI frontend.Data logging and graphing tool for time series data infoThe storage layer (fixed size database) is called Whisper
Primary database modelRelational DBMSKey-value store
Relational DBMS
Relational DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score0.02
Rank#368  Overall
#54  Key-value stores
#156  Relational DBMS
Score48.20
Rank#20  Overall
#14  Relational DBMS
Score4.57
Rank#73  Overall
#5  Time Series DBMS
Websitewww.datomic.comwww.faircom.com/­products/­faircom-edgewww.claris.com/­filemakergithub.com/­graphite-project/­graphite-web
Technical documentationdocs.datomic.comdocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmlwww.claris.com/­resources/­documentationgraphite.readthedocs.io
DeveloperCognitectFairCom CorporationClaris infoa subsidiary of AppleChris Davis
Initial release2012197919832006
Current release1.0.6735, June 2023V3, October 202019.4.1, November 2021
License infoCommercial or Open Sourcecommercial infolimited edition freecommercial infoRestricted, free version availablecommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, ClojureANSI C, C++Python
Server operating systemsAll OS with a Java VMAndroid
Linux infoARM, x86
Raspbian
Windows
iOS infoclient part only
Linux
OS X
Windows
Linux
Unix
Data schemeyesFlexible Schema (defined schema, partial schema, schema free)yesyes
Typing infopredefined data types such as float or dateyesyes, ANSI Standard SQL TypesyesNumeric data only
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.noyesyes infoA http query request can return the data in XML formatno
Secondary indexesyesyesyesno
SQL infoSupport of SQLnoyes infoANSI SQL queriesyes infovia pluginsno
APIs and other access methodsRESTful HTTP APIADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
Filemaker WebDirect
JDBC
ODBC
HTTP API
Sockets
Supported programming languagesClojure
Java
C
C#
C++
Java
JavaScript
PHP
Python
VB.Net
PHPJavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyes infoTransaction Functionsyes info.Net, JavaScript, C/C++yesno
TriggersBy using transaction functionsyesyesno
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersFile partitioning infoCustomizable business rules for partitioningnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersyes infoSynchronous and asynchronous realtime replication based on transaction logsSource-replica replication, warm standby infosince Version 14none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Tunable Consistency
none
Foreign keys infoReferential integritynoyes infowhen using SQLyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyes infoacross SQL and NoSQLyesyes infolocking
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes inforecommended only for testing and developmentyes
User concepts infoAccess controlnoFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.simple rights management via user accounts and connection to external directory servicesno

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More resources
DatomicFaircom EDGE infoformerly c-treeEDGEFileMakerGraphite
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