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DBMS > Faircom EDGE vs. IBM Db2 vs. JanusGraph vs. YugabyteDB

System Properties Comparison Faircom EDGE vs. IBM Db2 vs. JanusGraph vs. YugabyteDB

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Editorial information provided by DB-Engines
NameFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonIBM Db2 infoformerly named DB2 or IBM Database 2  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonYugabyteDB  Xexclude from comparison
DescriptionFairCom EDGE is an Industry 4.0 solution built to integrate, collect, aggregate and synchronize mission-critical data in edge computing environmentsCommon in IBM host environments, 2 different versions for host and Windows/LinuxA Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017High-performance distributed SQL database for global, internet-scale applications. Wire and feature compatible with PostgreSQL.
Primary database modelKey-value store
Relational DBMS
Relational DBMS infoSince Version 10.5 support for JSON/BSON documents compatible with MongoDBGraph DBMSRelational DBMS
Secondary database modelsDocument store
RDF store infoin Db2 LUW (Linux, Unix, Windows)
Spatial DBMS infowith Db2 Spatial Extender
Document store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.02
Rank#369  Overall
#57  Key-value stores
#156  Relational DBMS
Score121.74
Rank#9  Overall
#6  Relational DBMS
Score1.78
Rank#131  Overall
#12  Graph DBMS
Score2.36
Rank#107  Overall
#53  Relational DBMS
Websitewww.faircom.com/­products/­faircom-edgewww.ibm.com/­products/­db2janusgraph.orgwww.yugabyte.com
Technical documentationdocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmlwww.ibm.com/­docs/­en/­db2docs.janusgraph.orgdocs.yugabyte.com
github.com/­yugabyte/­yugabyte-db
DeveloperFairCom CorporationIBMLinux Foundation; originally developed as Titan by AureliusYugabyte Inc.
Initial release19791983 infohost version20172017
Current releaseV3, October 202012.1, October 20161.0.0, October 20232.19, September 2023
License infoCommercial or Open Sourcecommercial infoRestricted, free version availablecommercial infofree version is availableOpen Source infoApache 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
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++JavaC and C++
Server operating systemsAndroid
Linux infoARM, x86
Raspbian
Windows
AIX
HP-UX
Linux
Solaris
Windows
z/OS
Linux
OS X
Unix
Windows
Linux
OS X
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesyesdepending on used data model
Typing infopredefined data types such as float or dateyes, ANSI Standard SQL Typesyesyesyes
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 queriesyesnoyes, PostgreSQL compatible
APIs and other access methodsADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
ADO.NET
JDBC
JSON style queries infoMongoDB compatible
ODBC
XQuery
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
JDBC
YCQL, an SQL-based flexible-schema API with its roots in Cassandra Query Language
YSQL - a fully relational SQL API that is wire compatible with the SQL language in PostgreSQL
Supported programming languagesC
C#
C++
Java
JavaScript
PHP
Python
VB.Net
C
C#
C++
Cobol
Delphi
Fortran
Java
Perl
PHP
Python
Ruby
Visual Basic
Clojure
Java
Python
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
Scala
Server-side scripts infoStored proceduresyes info.Net, JavaScript, C/C++yesyesyes infosql, plpgsql, C
Triggersyesyesyesyes
Partitioning methods infoMethods for storing different data on different nodesFile partitioning infoCustomizable business rules for partitioningSharding infoonly with Windows/Unix/Linux Versionyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)Hash and Range Sharding, row-level geo-partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoSynchronous and asynchronous realtime replication based on transaction logsyes infowith separate tools (MQ, InfoSphere)yesBased on Raft distributed consensus protocol, minimum 3 replicas for continuous availability
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
Eventual Consistency
Immediate Consistency
Strong consistency on writes and tunable consistency on reads
Foreign keys infoReferential integrityyes infowhen using SQLyesyes infoRelationships in graphsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDDistributed ACID with Serializable & Snapshot Isolation. Inspired by Google Spanner architecture.
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 infobased on RocksDB
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.fine grained access rights according to SQL-standardUser authentification and security via Rexster Graph Serveryes

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More resources
Faircom EDGE infoformerly c-treeEDGEIBM Db2 infoformerly named DB2 or IBM Database 2JanusGraph infosuccessor of TitanYugabyteDB
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