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DBMS > Faircom EDGE vs. IBM Cloudant vs. ITTIA vs. Titan

System Properties Comparison Faircom EDGE vs. IBM Cloudant vs. ITTIA vs. Titan

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Editorial information provided by DB-Engines
NameFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonIBM Cloudant  Xexclude from comparisonITTIA  Xexclude from comparisonTitan  Xexclude from comparison
Titan has been decommisioned after the takeover by Datastax. It will be removed from the DB-Engines ranking. A fork has been open-sourced as JanusGraph.
DescriptionFairCom EDGE is an Industry 4.0 solution built to integrate, collect, aggregate and synchronize mission-critical data in edge computing environmentsDatabase as a Service offering based on Apache CouchDBEdge Time Series DBMS with Real-Time Stream ProcessingTitan is a Graph DBMS optimized for distributed clusters.
Primary database modelKey-value store
Relational DBMS
Document storeTime Series DBMSGraph DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.02
Rank#370  Overall
#55  Key-value stores
#157  Relational DBMS
Score2.85
Rank#95  Overall
#18  Document stores
Score0.36
Rank#272  Overall
#22  Time Series DBMS
Websitewww.faircom.com/­products/­faircom-edgewww.ibm.com/­products/­cloudantwww.ittia.comgithub.com/­thinkaurelius/­titan
Technical documentationdocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmlcloud.ibm.com/­docs/­Cloudantgithub.com/­thinkaurelius/­titan/­wiki
DeveloperFairCom CorporationIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014ITTIA L.L.C.Aurelius, owned by DataStax
Initial release1979201020072012
Current releaseV3, October 20208.7
License infoCommercial or Open Sourcecommercial infoRestricted, free version availablecommercialcommercialOpen Source infoApache license, version 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageANSI C, C++ErlangC and C++Java
Server operating systemsAndroid
Linux infoARM, x86
Raspbian
Windows
hostedLinux
Windows
Linux
OS X
Unix
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)schema-freeFixed schemayes
Typing infopredefined data types such as float or dateyes, ANSI Standard SQL TypesnoFloat/Blob/Integer/String/Unicode/Date/Time/Timestamp/Intervalyes
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 indexesyesyesyesyes
SQL infoSupport of SQLyes infoANSI SQL queriesnoyesno
APIs and other access methodsADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
RESTful HTTP/JSON APIJDBC
ODBC
RESTful HTTP API
WebSocket
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Supported programming languagesC
C#
C++
Java
JavaScript
PHP
Python
VB.Net
C#
Java
JavaScript
Objective-C
PHP
Ruby
C
C++
JavaScript (Node.js)
Python
Clojure
Java
Python
Server-side scripts infoStored proceduresyes info.Net, JavaScript, C/C++View functions (Map-Reduce) in JavaScriptyesyes
Triggersyesyesnoyes
Partitioning methods infoMethods for storing different data on different nodesFile partitioning infoCustomizable business rules for partitioningShardingyes infovia pluggable storage backends
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoSynchronous and asynchronous realtime replication based on transaction logsMulti-source replication
Source-replica replication
yesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnoyes infovia Faunus, a graph analytics engine
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Tunable Consistency
Eventual ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyes infowhen using SQLnoyesyes infoRelationships in graph
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoatomic operations within a document possibleyesACID
Concurrency infoSupport for concurrent manipulation of datayes infoacross SQL and NoSQLyes infoOptimistic lockingyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcast
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.Access rights for users can be defined per databaseDatabase file passwordsUser authentification and security via Rexster Graph Server

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More resources
Faircom EDGE infoformerly c-treeEDGEIBM CloudantITTIATitan
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