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DBMS > 4D vs. BaseX vs. Google Cloud Datastore vs. Vitess

System Properties Comparison 4D vs. BaseX vs. Google Cloud Datastore vs. Vitess

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Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonBaseX  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonVitess  Xexclude from comparison
DescriptionApplication development environment with integrated database management systemLight-weight Native XML DBMS with support for XQuery 3.0 and interactive GUI.Automatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformScalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelRelational DBMSNative XML DBMSDocument storeRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.47
Rank#110  Overall
#54  Relational DBMS
Score1.84
Rank#135  Overall
#4  Native XML DBMS
Score4.36
Rank#72  Overall
#12  Document stores
Score0.88
Rank#203  Overall
#95  Relational DBMS
Websitewww.4d.combasex.orgcloud.google.com/­datastorevitess.io
Technical documentationdeveloper.4d.comdocs.basex.orgcloud.google.com/­datastore/­docsvitess.io/­docs
Developer4D, IncBaseX GmbHGoogleThe Linux Foundation, PlanetScale
Initial release1984200720082013
Current releasev20, April 202310.7, August 202315.0.2, December 2022
License infoCommercial or Open SourcecommercialOpen Source infoBSD licensecommercialOpen Source infoApache Version 2.0, commercial licenses available
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaGo
Server operating systemsOS X
Windows
Linux
OS X
Windows
hostedDocker
Linux
macOS
Data schemeyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesno infoXQuery supports typesyes, details hereyes
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.yesno
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyes infoclose to SQL 92noSQL-like query language (GQL)yes infowith proprietary extensions
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
Java API
RESTful HTTP API
RESTXQ
WebDAV
XML:DB
XQJ
gRPC (using protocol buffers) API
RESTful HTTP/JSON API
ADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languages4D proprietary IDE
PHP
Actionscript
C
C#
Haskell
Java
JavaScript infoNode.js
Lisp
Perl
PHP
Python
Qt
Rebol
Ruby
Scala
Visual Basic
.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresyesyesusing Google App Engineyes infoproprietary syntax
Triggersyesyes infovia eventsCallbacks using the Google Apps Engineyes
Partitioning methods infoMethods for storing different data on different nodesnonenoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationnoneMulti-source replication using PaxosMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infousing Google Cloud Dataflowno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate 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.Eventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integrityyesnoyes infovia ReferenceProperties or Ancestor pathsyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDmultiple readers, single writerACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infotable locks or row locks depending on storage engine
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.nonoyes
User concepts infoAccess controlUsers and groupsUsers with fine-grained authorization concept on 4 levelsAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Users with fine-grained authorization concept infono user groups or roles

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More resources
4D infoformer name: 4th DimensionBaseXGoogle Cloud DatastoreVitess
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