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DBMS > Faircom EDGE vs. H2 vs. InterSystems Caché vs. Prometheus vs. XTDB

System Properties Comparison Faircom EDGE vs. H2 vs. InterSystems Caché vs. Prometheus vs. XTDB

Editorial information provided by DB-Engines
NameFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonH2  Xexclude from comparisonInterSystems Caché  Xexclude from comparisonPrometheus  Xexclude from comparisonXTDB infoformerly named Crux  Xexclude from comparison
Caché is a deprecated database engine which is substituted with InterSystems IRIS. It therefore is removed 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 environmentsFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.A multi-model DBMS and application serverOpen-source Time Series DBMS and monitoring systemA general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelKey-value store
Relational DBMS
Relational DBMSKey-value store
Object oriented DBMS
Relational DBMS
Time Series DBMSDocument store
Secondary database modelsSpatial DBMSDocument store
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
Score8.13
Rank#49  Overall
#31  Relational DBMS
Score8.42
Rank#47  Overall
#2  Time Series DBMS
Score0.11
Rank#343  Overall
#46  Document stores
Websitewww.faircom.com/­products/­faircom-edgewww.h2database.comwww.intersystems.com/­products/­cacheprometheus.iogithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationdocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmlwww.h2database.com/­html/­main.htmldocs.intersystems.comprometheus.io/­docswww.xtdb.com/­docs
DeveloperFairCom CorporationThomas MuellerInterSystemsJuxt Ltd.
Initial release19792005199720152019
Current releaseV3, October 20202.2.220, July 20232018.1.4, May 20201.19, September 2021
License infoCommercial or Open Sourcecommercial infoRestricted, free version availableOpen Source infodual-licence (Mozilla public license, Eclipse public license)commercialOpen Source infoApache 2.0Open Source infoMIT License
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageANSI C, C++JavaGoClojure
Server operating systemsAndroid
Linux infoARM, x86
Raspbian
Windows
All OS with a Java VMAIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
Linux
Windows
All OS with a Java 8 (and higher) VM
Linux
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesdepending on used data modelyesschema-free
Typing infopredefined data types such as float or dateyes, ANSI Standard SQL TypesyesyesNumeric data onlyyes, extensible-data-notation format
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.yesnoyesno infoImport of XML data possibleno
Secondary indexesyesyesyesnoyes
SQL infoSupport of SQLyes infoANSI SQL queriesyesyesnolimited SQL, making use of Apache Calcite
APIs and other access methodsADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
JDBC
ODBC
.NET Client API
JDBC
ODBC
RESTful HTTP API
RESTful HTTP/JSON APIHTTP REST
JDBC
Supported programming languagesC
C#
C++
Java
JavaScript
PHP
Python
VB.Net
JavaC#
C++
Java
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
Clojure
Java
Server-side scripts infoStored proceduresyes info.Net, JavaScript, C/C++Java Stored Procedures and User-Defined Functionsyesnono
Triggersyesyesyesnono
Partitioning methods infoMethods for storing different data on different nodesFile partitioning infoCustomizable business rules for partitioningnonenoneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoSynchronous and asynchronous realtime replication based on transaction logsWith clustering: 2 database servers on different computers operate on identical copies of a databaseSource-replica replicationyes infoby Federationyes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Tunable Consistency
Immediate ConsistencyImmediate Consistencynone
Foreign keys infoReferential integrityyes infowhen using SQLyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayes infoacross SQL and NoSQLyes, multi-version concurrency control (MVCC)yesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesno
User concepts infoAccess controlFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.fine grained access rights according to SQL-standardAccess rights for users, groups and rolesno

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More resources
Faircom EDGE infoformerly c-treeEDGEH2InterSystems CachéPrometheusXTDB infoformerly named Crux
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