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DBMS > BaseX vs. Datastax Enterprise vs. FileMaker vs. TigerGraph

System Properties Comparison BaseX vs. Datastax Enterprise vs. FileMaker vs. TigerGraph

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Editorial information provided by DB-Engines
NameBaseX  Xexclude from comparisonDatastax Enterprise  Xexclude from comparisonFileMaker  Xexclude from comparisonTigerGraph  Xexclude from comparison
DescriptionLight-weight Native XML DBMS with support for XQuery 3.0 and interactive GUI.DataStax Enterprise (DSE) is the always-on, scalable data platform built on Apache Cassandra and designed for hybrid Cloud. DSE integrates graph, search, analytics, administration, developer tooling, and monitoring into a unified platform.FileMaker is a cross-platform RDBMS that includes a GUI frontend.A complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time
Primary database modelNative XML DBMSWide column storeRelational DBMSGraph DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Search engine
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.73
Rank#142  Overall
#4  Native XML DBMS
Score5.80
Rank#60  Overall
#4  Wide column stores
Score48.20
Rank#20  Overall
#14  Relational DBMS
Score1.83
Rank#139  Overall
#13  Graph DBMS
Websitebasex.orgwww.datastax.com/­products/­datastax-enterprisewww.claris.com/­filemakerwww.tigergraph.com
Technical documentationdocs.basex.orgdocs.datastax.comwww.claris.com/­resources/­documentationdocs.tigergraph.com
DeveloperBaseX GmbHDataStaxClaris infoa subsidiary of Apple
Initial release2007201119832017
Current release10.7, August 20236.8, April 202019.4.1, November 2021
License infoCommercial or Open SourceOpen Source infoBSD licensecommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Datastax Astra DB: Astra DB simplifies cloud-native Cassandra application development for your apps, microservices and functions. Deploy in minutes on AWS, Google Cloud, Azure, and have it managed for you by the experts, with serverless, pay-as-you-go pricing.
Implementation languageJavaJavaC++
Server operating systemsLinux
OS X
Windows
Linux
OS X
iOS infoclient part only
Linux
OS X
Windows
Linux
Data schemeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateno infoXQuery supports typesyesyesyes
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.noyes infoA http query request can return the data in XML formatno
Secondary indexesyesyesyes
SQL infoSupport of SQLnoSQL-like DML and DDL statements (CQL); Spark SQLyes infovia pluginsSQL-like query language (GSQL)
APIs and other access methodsJava API
RESTful HTTP API
RESTXQ
WebDAV
XML:DB
XQJ
Proprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
Filemaker WebDirect
JDBC
ODBC
GSQL (TigerGraph Query Language)
Kafka
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 (Node.js)
PHP
Python
Ruby
PHPC++
Java
Server-side scripts infoStored proceduresyesnoyesyes
Triggersyes infovia eventsyesyesno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infono "single point of failure"none
Replication methods infoMethods for redundantly storing data on multiple nodesnoneconfigurable replication factor, datacenter aware, advanced replication for edge computingSource-replica replication, warm standby infosince Version 14
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Tunable Consistency infoconsistency level can be individually decided with each write operation
Foreign keys infoReferential integritynonoyesyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datamultiple readers, single writerno infoAtomicity and isolation are supported for single operationsnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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 levelsAccess rights for users can be defined per objectsimple rights management via user accounts and connection to external directory servicesRole-based access control
More information provided by the system vendor
BaseXDatastax EnterpriseFileMakerTigerGraph
Specific characteristicsDataStax Enterprise is scale-out data infrastructure for enterprises that need to...
» more
Competitive advantagesSupporting the following application requirements: Zero downtime - Built on Apache...
» more
Typical application scenariosApplications that must be massively and linearly scalable with 100% uptime and able...
» more
Key customersCapital One, Cisco, Comcast, eBay, McDonald's, Microsoft, Safeway, Sony, UBS, and...
» more
Market metricsAmong the Forbes 100 Most Innovative Companies, DataStax is trusted by 5 of the top...
» more
Licensing and pricing modelsAnnual subscription
» more

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BaseXDatastax EnterpriseFileMakerTigerGraph
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