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DBMS > BaseX vs. Ehcache vs. GeoSpock vs. Google Cloud Datastore vs. SpatiaLite

System Properties Comparison BaseX vs. Ehcache vs. GeoSpock vs. Google Cloud Datastore vs. SpatiaLite

Editorial information provided by DB-Engines
NameBaseX  Xexclude from comparisonEhcache  Xexclude from comparisonGeoSpock  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonSpatiaLite  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionLight-weight Native XML DBMS with support for XQuery 3.0 and interactive GUI.A widely adopted Java cache with tiered storage optionsSpatial and temporal data processing engine for extreme data scaleAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformSpatial extension of SQLite
Primary database modelNative XML DBMSKey-value storeRelational DBMSDocument storeSpatial DBMS
Secondary database modelsTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.56
Rank#141  Overall
#4  Native XML DBMS
Score4.79
Rank#66  Overall
#8  Key-value stores
Score4.13
Rank#71  Overall
#12  Document stores
Score1.56
Rank#142  Overall
#3  Spatial DBMS
Websitebasex.orgwww.ehcache.orggeospock.comcloud.google.com/­datastorewww.gaia-gis.it/­fossil/­libspatialite/­index
Technical documentationdocs.basex.orgwww.ehcache.org/­documentationcloud.google.com/­datastore/­docswww.gaia-gis.it/­gaia-sins/­spatialite_topics.html
DeveloperBaseX GmbHTerracotta Inc, owned by Software AGGeoSpockGoogleAlessandro Furieri
Initial release2007200920082008
Current release11.2, August 20243.10.0, March 20222.0, September 20195.0.0, August 2020
License infoCommercial or Open SourceOpen Source infoBSD licenseOpen Source infoApache Version 2; commercial licenses availablecommercialcommercialOpen Source infoMPL 1.1, GPL v2.0 or LGPL v2.1
Cloud-based only infoOnly available as a cloud servicenonoyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaJava, JavascriptC++
Server operating systemsLinux
OS X
Windows
All OS with a Java VMhostedhostedserver-less
Data schemeschema-freeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateno infoXQuery supports typesyesyesyes, 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.nononono
Secondary indexesyesnotemporal, categoricalyesyes
SQL infoSupport of SQLnonoANSI SQL for query only (using Presto)SQL-like query language (GQL)yes
APIs and other access methodsJava API
RESTful HTTP API
RESTXQ
WebDAV
XML:DB
XQJ
JCacheJDBCgRPC (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
Java.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresyesnonousing Google App Engineno
Triggersyes infovia eventsyes infoCache Event ListenersnoCallbacks using the Google Apps Engineyes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoby using Terracotta ServerAutomatic shardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes infoby using Terracotta ServerMulti-source replication using Paxosnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes infousing Google Cloud Dataflowno
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable Consistency (Strong, Eventual, Weak)Immediate 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.
Foreign keys infoReferential integritynononoyes infovia ReferenceProperties or Ancestor pathsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datamultiple readers, single writeryes infosupports JTA and can work as an XA resourcenoACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes infousing a tiered cache-storage approachyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonoyes
User concepts infoAccess controlUsers with fine-grained authorization concept on 4 levelsnoAccess rights for users can be defined per tableAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)no

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More resources
BaseXEhcacheGeoSpockGoogle Cloud DatastoreSpatiaLite
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