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DBMS > Faircom EDGE vs. Google Cloud Bigtable vs. Google Cloud Firestore vs. GraphDB vs. searchxml

System Properties Comparison Faircom EDGE vs. Google Cloud Bigtable vs. Google Cloud Firestore vs. GraphDB vs. searchxml

Editorial information provided by DB-Engines
NameFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonGraphDB infoformer name: OWLIM  Xexclude from comparisonsearchxml  Xexclude from comparison
DescriptionFairCom EDGE is an Industry 4.0 solution built to integrate, collect, aggregate and synchronize mission-critical data in edge computing environmentsGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Cloud Firestore is an auto-scaling document database for storing, syncing, and querying data for mobile and web apps. It offers seamless integration with other Firebase and Google Cloud Platform products.Enterprise-ready RDF and graph database with efficient reasoning, cluster and external index synchronization support. It supports also SQL JDBC access to Knowledge Graph and GraphQL over SPARQL.DBMS for structured and unstructured content wrapped with an application server
Primary database modelKey-value store
Relational DBMS
Key-value store
Wide column store
Document storeGraph DBMS
RDF store
Native XML DBMS
Search engine
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
Score3.15
Rank#95  Overall
#14  Key-value stores
#8  Wide column stores
Score7.36
Rank#53  Overall
#9  Document stores
Score3.25
Rank#91  Overall
#7  Graph DBMS
#4  RDF stores
Score0.03
Rank#390  Overall
#7  Native XML DBMS
#24  Search engines
Websitewww.faircom.com/­products/­faircom-edgecloud.google.com/­bigtablefirebase.google.com/­products/­firestorewww.ontotext.comwww.searchxml.net/­category/­products
Technical documentationdocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmlcloud.google.com/­bigtable/­docsfirebase.google.com/­docs/­firestoregraphdb.ontotext.com/­documentationwww.searchxml.net/­support/­handouts
Social network pagesLinkedInTwitterYouTubeGitHubMedium
DeveloperFairCom CorporationGoogleGoogleOntotextinformationpartners gmbh
Initial release19792015201720002015
Current releaseV3, October 202010.4, October 20231.0
License infoCommercial or Open Sourcecommercial infoRestricted, free version availablecommercialcommercialcommercial infoSome plugins of GraphDB Workbench are open sourcedcommercial
Cloud-based only infoOnly available as a cloud servicenoyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageANSI C, C++JavaC++
Server operating systemsAndroid
Linux infoARM, x86
Raspbian
Windows
hostedhostedAll OS with a Java VM
Linux
OS X
Windows
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)schema-freeschema-freeschema-free and OWL/RDFS-schema support; RDF shapesschema-free
Typing infopredefined data types such as float or dateyes, ANSI Standard SQL Typesnoyesyesyes
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.yesnononoyes
Secondary indexesyesnoyesyes, supports real-time synchronization and indexing in SOLR/Elastic search/Lucene and GeoSPARQL geometry data indexesyes
SQL infoSupport of SQLyes infoANSI SQL queriesnonostored SPARQL accessed as SQL using Apache Calcite through JDBC/ODBCno
APIs and other access methodsADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
Android
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
GeoSPARQL
GraphQL
GraphQL Federation
Java API
JDBC
RDF4J API
RDFS
RIO
Sail API
Sesame REST HTTP Protocol
SPARQL 1.1
RESTful HTTP API
WebDAV
XQuery
XSLT
Supported programming languagesC
C#
C++
Java
JavaScript
PHP
Python
VB.Net
C#
C++
Go
Java
JavaScript (Node.js)
Python
Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
.Net
C#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
C++ infomost other programming languages supported via APIs
Server-side scripts infoStored proceduresyes info.Net, JavaScript, C/C++noyes, Firebase Rules & Cloud Functionswell-defined plugin interfaces; JavaScript server-side extensibilityyes infoon the application server
Triggersyesnoyes, with Cloud Functionsnono
Partitioning methods infoMethods for storing different data on different nodesFile partitioning infoCustomizable business rules for partitioningShardingShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoSynchronous and asynchronous realtime replication based on transaction logsInternal replication in Colossus, and regional replication between two clusters in different zonesMulti-source replicationMulti-source replicationyes infosychronisation to multiple collections
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesUsing Cloud Dataflownono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Tunable Consistency
Immediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate ConsistencyImmediate Consistency, Eventual consistency (configurable in cluster mode per master or individual client request)Immediate Consistency
Foreign keys infoReferential integrityyes infowhen using SQLnonoyes infoConstraint checkingno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic single-row operationsyesACIDmultiple readers, single writer
Concurrency infoSupport for concurrent manipulation of datayes infoacross SQL and NoSQLyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.Access rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Access rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.Default Basic authentication through RDF4J client, or via Java when run with cURL, default token-based in the Workbench or via Rest API, optional access through OpenID or Kerberos single sign-on.Domain, group and role-based access control at the document level and for application services
More information provided by the system vendor
Faircom EDGE infoformerly c-treeEDGEGoogle Cloud BigtableGoogle Cloud FirestoreGraphDB infoformer name: OWLIMsearchxml
Specific characteristicsOntotext GraphDB is a semantic database engine that allows organizations to build...
» more
Competitive advantagesGraphDB allows you to link text and data in big knowledge graphs. It’s easy to experiment...
» more
Typical application scenariosMetadata enrichment and management, linked data publishing, semantic inferencing...
» more
Key customers​ GraphDB provides a platform for building next-generation AI and Knowledge Graph...
» more
Market metricsGraphDB is the most utilized semantic triplestore for mission-critical enterprise...
» more
Licensing and pricing modelsGraphDB Free is a non-commercial version and is free to use. GraphDB Enterprise edition...
» more
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More resources
Faircom EDGE infoformerly c-treeEDGEGoogle Cloud BigtableGoogle Cloud FirestoreGraphDB infoformer name: OWLIMsearchxml
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