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DBMS > Faircom EDGE vs. RDF4J vs. RocksDB vs. TypeDB

System Properties Comparison Faircom EDGE vs. RDF4J vs. RocksDB vs. TypeDB

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Editorial information provided by DB-Engines
NameFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonRocksDB  Xexclude from comparisonTypeDB infoformerly named Grakn  Xexclude from comparison
DescriptionFairCom EDGE is an Industry 4.0 solution built to integrate, collect, aggregate and synchronize mission-critical data in edge computing environmentsRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.Embeddable persistent key-value store optimized for fast storage (flash and RAM)TypeDB provides developers with an expressive, customizable type system to manage their data using an award-winning query language, TypeQL, while building on a high-performance, distributed architecture.
Primary database modelKey-value store
Relational DBMS
RDF storeKey-value storeGraph DBMS infoThe type-theoretic data model of TypeDB subsumes the graph database model.
Object oriented DBMS infoThe data model of TypeDB comprises object-oriented features such as class inheritance and interfaces.
Relational DBMS infoThe type-theoretic data model of TypeDB subsumes the relational database model.
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
Score0.72
Rank#222  Overall
#9  RDF stores
Score2.84
Rank#97  Overall
#16  Key-value stores
Score0.65
Rank#230  Overall
#20  Graph DBMS
#9  Object oriented DBMS
#107  Relational DBMS
Websitewww.faircom.com/­products/­faircom-edgerdf4j.orgrocksdb.orgtypedb.com
Technical documentationdocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmlrdf4j.org/­documentationgithub.com/­facebook/­rocksdb/­wikitypedb.com/­docs
DeveloperFairCom CorporationSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.Facebook, Inc.Vaticle
Initial release1979200420132016
Current releaseV3, October 20209.4.0, June 20242.28.3, June 2024
License infoCommercial or Open Sourcecommercial infoRestricted, free version availableOpen Source infoEclipse Distribution License (EDL), v1.0.Open Source infoBSDOpen Source infoGPL Version 3, commercial licenses 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++JavaC++Java
Server operating systemsAndroid
Linux infoARM, x86
Raspbian
Windows
Linux
OS X
Unix
Windows
LinuxLinux
OS X
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)yes infoRDF Schemasschema-freeyes
Typing infopredefined data types such as float or dateyes, ANSI Standard SQL Typesyesnoyes
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 indexesyesyesnoyes
SQL infoSupport of SQLyes infoANSI SQL queriesnonono
APIs and other access methodsADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
C++ API
Java API
gRPC protocol
TypeDB Console (shell)
TypeDB Studio (IDE)
Supported programming languagesC
C#
C++
Java
JavaScript
PHP
Python
VB.Net
Java
PHP
Python
C
C++
Go
Java
Perl
Python
Ruby
All JVM based languages
C
C++
Java
JavaScript (Node.js)
Python
Rust
Server-side scripts infoStored proceduresyes info.Net, JavaScript, C/C++yesnono
Triggersyesyesno
Partitioning methods infoMethods for storing different data on different nodesFile partitioning infoCustomizable business rules for partitioningnonehorizontal partitioningno
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoSynchronous and asynchronous realtime replication based on transaction logsnoneyesSynchronous replication via raft
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Tunable Consistency
Immediate Consistency
Foreign keys infoReferential integrityyes infowhen using SQLnono infosubstituted by the relationship feature
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoIsolation support depends on the API usedyesACID
Concurrency infoSupport for concurrent manipulation of datayes infoacross SQL and NoSQLyesyesyes
Durability infoSupport for making data persistentyesyes infoin-memory storage is supported as wellyesyes
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.nonoyes infoat REST API level; other APIs in progress
More information provided by the system vendor
Faircom EDGE infoformerly c-treeEDGERDF4J infoformerly known as SesameRocksDBTypeDB infoformerly named Grakn
Specific characteristicsTypeDB is a polymorphic database with a conceptual data model, a strong subtyping...
» more
Competitive advantagesTypeDB provides a new level of expressivity, extensibility, interoperability, and...
» more
Typical application scenariosLife sciences : TypeDB makes working with biological data much easier and accelerates...
» more
Licensing and pricing modelsApache f or language drivers, and AGPL and Commercial for the database server. The...
» more

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More resources
Faircom EDGE infoformerly c-treeEDGERDF4J infoformerly known as SesameRocksDBTypeDB infoformerly named Grakn
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