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DBMS > Datomic vs. EXASOL vs. Faircom EDGE vs. FoundationDB vs. Yanza

System Properties Comparison Datomic vs. EXASOL vs. Faircom EDGE vs. FoundationDB vs. Yanza

Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonEXASOL  Xexclude from comparisonFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonFoundationDB  Xexclude from comparisonYanza  Xexclude from comparison
Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market. As a consequence, the product was removed from the DB-Engines ranking. In April 2018, Apple open-sourced FoundationDB and it therefore reappears in the ranking.Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.FairCom EDGE is an Industry 4.0 solution built to integrate, collect, aggregate and synchronize mission-critical data in edge computing environmentsOrdered key-value store. Core features are complimented by layers.Time Series DBMS for IoT Applications
Primary database modelRelational DBMSRelational DBMSKey-value store
Relational DBMS
Document store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score1.76
Rank#139  Overall
#62  Relational DBMS
Score0.09
Rank#362  Overall
#53  Key-value stores
#155  Relational DBMS
Score1.06
Rank#185  Overall
#31  Document stores
#28  Key-value stores
#85  Relational DBMS
Websitewww.datomic.comwww.exasol.comwww.faircom.com/­products/­faircom-edgegithub.com/­apple/­foundationdbyanza.com
Technical documentationdocs.datomic.comwww.exasol.com/­resourcesdocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmlapple.github.io/­foundationdb
DeveloperCognitectExasolFairCom CorporationFoundationDBYanza
Initial release20122000197920132015
Current release1.0.6735, June 2023V3, October 20206.2.28, November 2020
License infoCommercial or Open Sourcecommercial infolimited edition freecommercialcommercial infoRestricted, free version availableOpen Source infoApache 2.0commercial infofree version available
Cloud-based only infoOnly available as a cloud servicenonononono infobut mainly used as a service provided by Yanza
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, ClojureANSI C, C++C++
Server operating systemsAll OS with a Java VMAndroid
Linux infoARM, x86
Raspbian
Windows
Linux
OS X
Windows
Windows
Data schemeyesyesFlexible Schema (defined schema, partial schema, schema free)schema-free infosome layers support schemasschema-free
Typing infopredefined data types such as float or dateyesyesyes, ANSI Standard SQL Typesno infosome layers support typingno
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.nonoyesno
Secondary indexesyesyesyesnono
SQL infoSupport of SQLnoyesyes infoANSI SQL queriessupported in specific SQL layer onlyno
APIs and other access methodsRESTful HTTP API.Net
JDBC
ODBC
WebSocket
ADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
HTTP API
Supported programming languagesClojure
Java
Java
Lua
Python
R
C
C#
C++
Java
JavaScript
PHP
Python
VB.Net
.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
any language that supports HTTP calls
Server-side scripts infoStored proceduresyes infoTransaction Functionsuser defined functionsyes info.Net, JavaScript, C/C++in SQL-layer onlyno
TriggersBy using transaction functionsyesyesnoyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersShardingFile partitioning infoCustomizable business rules for partitioningShardingnone
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 logsyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoHadoop integrationnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Tunable Consistency
Linearizable consistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyes infowhen using SQLin SQL-layer onlyno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoacross SQL and NoSQLyesyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesyesyes
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 developmentyesyes
User concepts infoAccess controlnoAccess rights for users, groups and roles according to SQL-standardFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.nono

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More resources
DatomicEXASOLFaircom EDGE infoformerly c-treeEDGEFoundationDBYanza
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