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DBMS > Faircom EDGE vs. LokiJS vs. Splice Machine vs. Stardog

System Properties Comparison Faircom EDGE vs. LokiJS vs. Splice Machine vs. Stardog

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Editorial information provided by DB-Engines
NameFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonLokiJS  Xexclude from comparisonSplice Machine  Xexclude from comparisonStardog  Xexclude from comparison
DescriptionFairCom EDGE is an Industry 4.0 solution built to integrate, collect, aggregate and synchronize mission-critical data in edge computing environmentsIn-memory JavaScript DBMSOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualization
Primary database modelKey-value store
Relational DBMS
Document storeRelational DBMSGraph DBMS
RDF store
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
Score0.49
Rank#260  Overall
#42  Document stores
Score0.54
Rank#252  Overall
#115  Relational DBMS
Score2.07
Rank#122  Overall
#11  Graph DBMS
#6  RDF stores
Websitewww.faircom.com/­products/­faircom-edgegithub.com/­techfort/­LokiJSsplicemachine.comwww.stardog.com
Technical documentationdocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmltechfort.github.io/­LokiJSsplicemachine.com/­how-it-worksdocs.stardog.com
DeveloperFairCom CorporationSplice MachineStardog-Union
Initial release1979201420142010
Current releaseV3, October 20203.1, March 20217.3.0, May 2020
License infoCommercial or Open Sourcecommercial infoRestricted, free version availableOpen SourceOpen Source infoAGPL 3.0, commercial license availablecommercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/students
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++JavaScriptJavaJava
Server operating systemsAndroid
Linux infoARM, x86
Raspbian
Windows
server-less, requires a JavaScript environment (browser, Node.js)Linux
OS X
Solaris
Windows
Linux
macOS
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)schema-freeyesschema-free and OWL/RDFS-schema support
Typing infopredefined data types such as float or dateyes, ANSI Standard SQL Typesnoyesyes
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 infoImport/export of XML data possible
Secondary indexesyesyes infovia viewsyesyes infosupports real-time indexing in full-text and geospatial
SQL infoSupport of SQLyes infoANSI SQL queriesnoyesYes, compatible with all major SQL variants through dedicated BI/SQL Server
APIs and other access methodsADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
JavaScript APIJDBC
Native Spark Datasource
ODBC
GraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
Supported programming languagesC
C#
C++
Java
JavaScript
PHP
Python
VB.Net
JavaScriptC#
C++
Java
JavaScript (Node.js)
Python
R
Scala
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
Server-side scripts infoStored proceduresyes info.Net, JavaScript, C/C++View functions in JavaScriptyes infoJavauser defined functions and aggregates, HTTP Server extensions in Java
Triggersyesyesyesyes infovia event handlers
Partitioning methods infoMethods for storing different data on different nodesFile partitioning infoCustomizable business rules for partitioningnoneShared Nothhing Auto-Sharding, Columnar Partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoSynchronous and asynchronous realtime replication based on transaction logsnoneMulti-source replication
Source-replica replication
Multi-source replication in HA-Cluster
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesYes, via Full Spark Integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Tunable Consistency
noneImmediate ConsistencyImmediate Consistency in HA-Cluster
Foreign keys infoReferential integrityyes infowhen using SQLnoyesyes inforelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoatomic operations within a single collection possibleACIDACID
Concurrency infoSupport for concurrent manipulation of datayes infoacross SQL and NoSQLyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyes infoSerialization of a DB in a Node.JS/Cordova/PhoneGap environment. Usage of the IndexedDB-API in a browser.yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesyes
User concepts infoAccess controlFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.noAccess rights for users, groups and roles according to SQL-standardAccess rights for users and roles

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More resources
Faircom EDGE infoformerly c-treeEDGELokiJSSplice MachineStardog
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