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DBMS > BaseX vs. Faircom EDGE vs. FileMaker vs. Google Cloud Datastore

System Properties Comparison BaseX vs. Faircom EDGE vs. FileMaker vs. Google Cloud Datastore

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Editorial information provided by DB-Engines
NameBaseX  Xexclude from comparisonFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonFileMaker  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparison
DescriptionLight-weight Native XML DBMS with support for XQuery 3.0 and interactive GUI.FairCom EDGE is an Industry 4.0 solution built to integrate, collect, aggregate and synchronize mission-critical data in edge computing environmentsFileMaker is a cross-platform RDBMS that includes a GUI frontend.Automatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud Platform
Primary database modelNative XML DBMSKey-value store
Relational DBMS
Relational DBMSDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.84
Rank#135  Overall
#4  Native XML DBMS
Score0.09
Rank#362  Overall
#53  Key-value stores
#155  Relational DBMS
Score47.91
Rank#20  Overall
#14  Relational DBMS
Score4.36
Rank#72  Overall
#12  Document stores
Websitebasex.orgwww.faircom.com/­products/­faircom-edgewww.claris.com/­filemakercloud.google.com/­datastore
Technical documentationdocs.basex.orgdocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmlwww.claris.com/­resources/­documentationcloud.google.com/­datastore/­docs
DeveloperBaseX GmbHFairCom CorporationClaris infoa subsidiary of AppleGoogle
Initial release2007197919832008
Current release11.0, June 2024V3, October 202019.4.1, November 2021
License infoCommercial or Open SourceOpen Source infoBSD licensecommercial infoRestricted, free version availablecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaANSI C, C++
Server operating systemsLinux
OS X
Windows
Android
Linux infoARM, x86
Raspbian
Windows
iOS infoclient part only
Linux
OS X
Windows
hosted
Data schemeschema-freeFlexible Schema (defined schema, partial schema, schema free)yesschema-free
Typing infopredefined data types such as float or dateno infoXQuery supports typesyes, ANSI Standard SQL Typesyesyes, details here
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.yesyes infoA http query request can return the data in XML formatno
Secondary indexesyesyesyesyes
SQL infoSupport of SQLnoyes infoANSI SQL queriesyes infovia pluginsSQL-like query language (GQL)
APIs and other access methodsJava API
RESTful HTTP API
RESTXQ
WebDAV
XML:DB
XQJ
ADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
Filemaker WebDirect
JDBC
ODBC
gRPC (using protocol buffers) API
RESTful HTTP/JSON API
Supported programming languagesActionscript
C
C#
Haskell
Java
JavaScript infoNode.js
Lisp
Perl
PHP
Python
Qt
Rebol
Ruby
Scala
Visual Basic
C
C#
C++
Java
JavaScript
PHP
Python
VB.Net
PHP.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresyesyes info.Net, JavaScript, C/C++yesusing Google App Engine
Triggersyes infovia eventsyesyesCallbacks using the Google Apps Engine
Partitioning methods infoMethods for storing different data on different nodesnoneFile partitioning infoCustomizable business rules for partitioningnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes infoSynchronous and asynchronous realtime replication based on transaction logsSource-replica replication, warm standby infosince Version 14Multi-source replication using Paxos
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes infousing Google Cloud Dataflow
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Tunable Consistency
Immediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.
Foreign keys infoReferential integritynoyes infowhen using SQLyesyes infovia ReferenceProperties or Ancestor paths
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datamultiple readers, single writerACIDnoACID infoSerializable Isolation within Transactions, Read Committed outside of Transactions
Concurrency infoSupport for concurrent manipulation of datayesyes infoacross SQL and NoSQLyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlUsers with fine-grained authorization concept on 4 levelsFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.simple rights management via user accounts and connection to external directory servicesAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)

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More resources
BaseXFaircom EDGE infoformerly c-treeEDGEFileMakerGoogle Cloud Datastore
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