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DBMS > Faircom EDGE vs. FeatureBase vs. MarkLogic vs. Spark SQL vs. STSdb

System Properties Comparison Faircom EDGE vs. FeatureBase vs. MarkLogic vs. Spark SQL vs. STSdb

Editorial information provided by DB-Engines
NameFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonFeatureBase  Xexclude from comparisonMarkLogic  Xexclude from comparisonSpark SQL  Xexclude from comparisonSTSdb  Xexclude from comparison
DescriptionFairCom EDGE is an Industry 4.0 solution built to integrate, collect, aggregate and synchronize mission-critical data in edge computing environmentsReal-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.Operational and transactional Enterprise NoSQL databaseSpark SQL is a component on top of 'Spark Core' for structured data processingKey-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelKey-value store
Relational DBMS
Relational DBMSDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Relational DBMSKey-value 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
Score0.31
Rank#292  Overall
#135  Relational DBMS
Score5.18
Rank#63  Overall
#11  Document stores
#1  Native XML DBMS
#1  RDF stores
#7  Search engines
Score18.04
Rank#33  Overall
#20  Relational DBMS
Score0.10
Rank#357  Overall
#51  Key-value stores
Websitewww.faircom.com/­products/­faircom-edgewww.featurebase.comwww.marklogic.comspark.apache.org/­sqlgithub.com/­STSSoft/­STSdb4
Technical documentationdocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmldocs.featurebase.comdocs.marklogic.comspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperFairCom CorporationMolecula and Pilosa Open Source ContributorsMarkLogic Corp.Apache Software FoundationSTS Soft SC
Initial release19792017200120142011
Current releaseV3, October 20202022, May 202211.0, December 20223.5.0 ( 2.13), September 20234.0.8, September 2015
License infoCommercial or Open Sourcecommercial infoRestricted, free version availablecommercialcommercial inforestricted free version is availableOpen Source infoApache 2.0Open Source infoGPLv2, commercial license available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageANSI C, C++GoC++ScalaC#
Server operating systemsAndroid
Linux infoARM, x86
Raspbian
Windows
Linux
macOS
Linux
OS X
Windows
Linux
OS X
Windows
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesschema-free infoSchema can be enforcedyesyes
Typing infopredefined data types such as float or dateyes, ANSI Standard SQL Typesyesyesyesyes infoprimitive types and user defined types (classes)
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.yesnoyesno
Secondary indexesyesnoyesnono
SQL infoSupport of SQLyes infoANSI SQL queriesSQL queriesyes infoSQL92SQL-like DML and DDL statementsno
APIs and other access methodsADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
gRPC
JDBC
Kafka Connector
ODBC
Java API
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
JDBC
ODBC
.NET Client API
Supported programming languagesC
C#
C++
Java
JavaScript
PHP
Python
VB.Net
Java
Python
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Java
Python
R
Scala
C#
Java
Server-side scripts infoStored proceduresyes info.Net, JavaScript, C/C++yes infovia XQuery or JavaScriptnono
Triggersyesnoyesnono
Partitioning methods infoMethods for storing different data on different nodesFile partitioning infoCustomizable business rules for partitioningShardingShardingyes, utilizing Spark Corenone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoSynchronous and asynchronous realtime replication based on transaction logsyesyesnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Tunable Consistency
Immediate Consistency
Foreign keys infoReferential integrityyes infowhen using SQLyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesACID infocan act as a resource manager in an XA/JTA transactionnono
Concurrency infoSupport for concurrent manipulation of datayes infoacross SQL and NoSQLyesyesyesyes
Durability infoSupport for making data persistentyesyes, using Linux fsyncyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes, with Range Indexesno
User concepts infoAccess controlFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.Role-based access control at the document and subdocument levelsnono

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More resources
Faircom EDGE infoformerly c-treeEDGEFeatureBaseMarkLogicSpark SQLSTSdb
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