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DBMS > Faircom EDGE vs. Graph Engine vs. Ingres vs. RavenDB

System Properties Comparison Faircom EDGE vs. Graph Engine vs. Ingres vs. RavenDB

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Editorial information provided by DB-Engines
NameFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonIngres  Xexclude from comparisonRavenDB  Xexclude from comparison
DescriptionFairCom EDGE is an Industry 4.0 solution built to integrate, collect, aggregate and synchronize mission-critical data in edge computing environmentsA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineWell established RDBMSOpen Source Operational and Transactional Enterprise NoSQL Document Database
Primary database modelKey-value store
Relational DBMS
Graph DBMS
Key-value store
Relational DBMSDocument store
Secondary database modelsGraph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.09
Rank#362  Overall
#53  Key-value stores
#155  Relational DBMS
Score0.67
Rank#232  Overall
#21  Graph DBMS
#34  Key-value stores
Score3.80
Rank#82  Overall
#44  Relational DBMS
Score2.84
Rank#101  Overall
#18  Document stores
Websitewww.faircom.com/­products/­faircom-edgewww.graphengine.iowww.actian.com/­databases/­ingresravendb.net
Technical documentationdocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmlwww.graphengine.io/­docs/­manualdocs.actian.com/­ingresravendb.net/­docs
DeveloperFairCom CorporationMicrosoftActian CorporationHibernating Rhinos
Initial release197920101974 infooriginally developed at University Berkely in early 1970s2010
Current releaseV3, October 202011.2, May 20225.4, July 2022
License infoCommercial or Open Sourcecommercial infoRestricted, free version availableOpen Source infoMIT LicensecommercialOpen Source infoAGPL version 3, commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageANSI C, C++.NET and CCC#
Server operating systemsAndroid
Linux infoARM, x86
Raspbian
Windows
.NETAIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
Linux
macOS
Raspberry Pi
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesyesschema-free
Typing infopredefined data types such as float or dateyes, ANSI Standard SQL Typesyesyesno
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 infobut tools for importing/exporting data from/to XML-files available
Secondary indexesyesyesyes
SQL infoSupport of SQLyes infoANSI SQL queriesnoyesSQL-like query language (RQL)
APIs and other access methodsADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
RESTful HTTP API.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
Supported programming languagesC
C#
C++
Java
JavaScript
PHP
Python
VB.Net
C#
C++
F#
Visual Basic
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresyes info.Net, JavaScript, C/C++yesyesyes
Triggersyesnoyesyes
Partitioning methods infoMethods for storing different data on different nodesFile partitioning infoCustomizable business rules for partitioninghorizontal partitioninghorizontal partitioning infoIngres Star to access multiple databases simultaneouslySharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoSynchronous and asynchronous realtime replication based on transaction logsIngres ReplicatorMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Tunable Consistency
Immediate ConsistencyDefault ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.
Foreign keys infoReferential integrityyes infowhen using SQLnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID, Cluster-wide transaction available
Concurrency infoSupport for concurrent manipulation of datayes infoacross SQL and NoSQLyesyes infoMVCCyes
Durability infoSupport for making data persistentyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
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-standardAuthorization levels configured per client per database

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More resources
Faircom EDGE infoformerly c-treeEDGEGraph Engine infoformer name: TrinityIngresRavenDB
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