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DBMS > ArcadeDB vs. BaseX vs. GeoMesa vs. Google Cloud Spanner vs. Quasardb

System Properties Comparison ArcadeDB vs. BaseX vs. GeoMesa vs. Google Cloud Spanner vs. Quasardb

Editorial information provided by DB-Engines
NameArcadeDB  Xexclude from comparisonBaseX  Xexclude from comparisonGeoMesa  Xexclude from comparisonGoogle Cloud Spanner  Xexclude from comparisonQuasardb  Xexclude from comparison
DescriptionFast and scalable multi-model DBMS, originally forked from OrientDB but most of the code has been rewrittenLight-weight Native XML DBMS with support for XQuery 3.0 and interactive GUI.GeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.A horizontally scalable, globally consistent, relational database service. It is the externalization of the core Google database that runs the biggest aspects of Google, like Ads and Google Play.Distributed, high-performance timeseries database
Primary database modelDocument store
Graph DBMS
Key-value store
Time Series DBMS infoin next version
Native XML DBMSSpatial DBMSRelational DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.02
Rank#366  Overall
#50  Document stores
#38  Graph DBMS
#53  Key-value stores
#36  Time Series DBMS
Score1.73
Rank#142  Overall
#4  Native XML DBMS
Score0.78
Rank#213  Overall
#4  Spatial DBMS
Score2.89
Rank#103  Overall
#52  Relational DBMS
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Websitearcadedb.combasex.orgwww.geomesa.orgcloud.google.com/­spannerquasar.ai
Technical documentationdocs.arcadedb.comdocs.basex.orgwww.geomesa.org/­documentation/­stable/­user/­index.htmlcloud.google.com/­spanner/­docsdoc.quasar.ai/­master
DeveloperArcade DataBaseX GmbHCCRi and othersGooglequasardb
Initial release20212007201420172009
Current releaseSeptember 202110.7, August 20234.0.5, February 20243.14.1, January 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoBSD licenseOpen Source infoApache License 2.0commercialcommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaScalaC++
Server operating systemsAll OS with a Java VMLinux
OS X
Windows
hostedBSD
Linux
OS X
Windows
Data schemeschema-freeschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesno infoXQuery supports typesyesyesyes infointeger and binary
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 indexesyesyesyesyesyes infowith tags
SQL infoSupport of SQLSQL-like query language, no joinsnonoyes infoQuery statements complying to ANSI 2011SQL-like query language
APIs and other access methodsJDBC
MongoDB API
OpenCypher
PostgreSQL wire protocol
Redis API
RESTful HTTP/JSON API
TinkerPop Gremlin
Java API
RESTful HTTP API
RESTXQ
WebDAV
XML:DB
XQJ
gRPC (using protocol buffers) API
JDBC infoAt present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API
HTTP API
Supported programming languagesJavaActionscript
C
C#
Haskell
Java
JavaScript infoNode.js
Lisp
Perl
PHP
Python
Qt
Rebol
Ruby
Scala
Visual Basic
Go
Java
JavaScript (Node.js)
Python
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresyesnonono
Triggersyes infovia eventsnonono
Partitioning methods infoMethods for storing different data on different nodesnonedepending on storage layerShardingSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnonedepending on storage layerMulti-source replication with 3 replicas for regional instances.Source-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesyes infousing Google Cloud Dataflowwith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistencydepending on storage layerImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes inforelationship in graphsnonoyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integrityno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDmultiple readers, single writernoACID infoStrict serializable isolationACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.depending on storage layernoyes infoTransient mode
User concepts infoAccess controlUsers with fine-grained authorization concept on 4 levelsyes infodepending on the DBMS used for storageAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Cryptographically strong user authentication and audit trail

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More resources
ArcadeDBBaseXGeoMesaGoogle Cloud SpannerQuasardb
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