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DBMS > Faircom EDGE vs. IRONdb vs. Titan vs. Yanza

System Properties Comparison Faircom EDGE vs. IRONdb vs. Titan vs. Yanza

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Editorial information provided by DB-Engines
NameFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonIRONdb  Xexclude from comparisonTitan  Xexclude from comparisonYanza  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.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.Yanza seems to be discontinued. Therefore it is excluded 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 environmentsA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityTitan is a Graph DBMS optimized for distributed clusters.Time Series DBMS for IoT Applications
Primary database modelKey-value store
Relational DBMS
Time Series DBMSGraph DBMSTime Series 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
Websitewww.faircom.com/­products/­faircom-edgewww.circonus.com/solutions/time-series-database/github.com/­thinkaurelius/­titanyanza.com
Technical documentationdocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmldocs.circonus.com/irondb/category/getting-startedgithub.com/­thinkaurelius/­titan/­wiki
DeveloperFairCom CorporationCirconus LLC.Aurelius, owned by DataStaxYanza
Initial release1979201720122015
Current releaseV3, October 2020V0.10.20, January 2018
License infoCommercial or Open Sourcecommercial infoRestricted, free version availablecommercialOpen Source infoApache license, version 2.0commercial infofree version available
Cloud-based only infoOnly available as a cloud servicenononono 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 languageANSI C, C++C and C++Java
Server operating systemsAndroid
Linux infoARM, x86
Raspbian
Windows
LinuxLinux
OS X
Unix
Windows
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)schema-freeyesschema-free
Typing infopredefined data types such as float or dateyes, ANSI Standard SQL Typesyes infotext, numeric, histogramsyesno
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 indexesyesnoyesno
SQL infoSupport of SQLyes infoANSI SQL queriesSQL-like query language (Circonus Analytics Query Language: CAQL)nono
APIs and other access methodsADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
HTTP APIJava API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
HTTP API
Supported programming languagesC
C#
C++
Java
JavaScript
PHP
Python
VB.Net
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
Clojure
Java
Python
any language that supports HTTP calls
Server-side scripts infoStored proceduresyes info.Net, JavaScript, C/C++yes, in Luayesno
Triggersyesnoyesyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesFile partitioning infoCustomizable business rules for partitioningAutomatic, metric affinity per nodeyes infovia pluggable storage backendsnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoSynchronous and asynchronous realtime replication based on transaction logsconfigurable replication factor, datacenter awareyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infovia Faunus, a graph analytics engineno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Tunable Consistency
Immediate consistency per node, eventual consistency across nodesEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integrityyes infowhen using SQLnoyes infoRelationships in graphno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDno
Concurrency infoSupport for concurrent manipulation of datayes infoacross SQL and NoSQLyesyesyes
Durability infoSupport for making data persistentyesyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.noUser authentification and security via Rexster Graph Serverno

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More resources
Faircom EDGE infoformerly c-treeEDGEIRONdbTitanYanza
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