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DBMS > Apache Druid vs. BaseX vs. Galaxybase vs. GeoSpock vs. Microsoft Azure Table Storage

System Properties Comparison Apache Druid vs. BaseX vs. Galaxybase vs. GeoSpock vs. Microsoft Azure Table Storage

Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonBaseX  Xexclude from comparisonGalaxybase  Xexclude from comparisonGeoSpock  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataLight-weight Native XML DBMS with support for XQuery 3.0 and interactive GUI.Scalable, ACID-compliant native distributed parallel graph platformSpatial and temporal data processing engine for extreme data scaleA Wide Column Store for rapid development using massive semi-structured datasets
Primary database modelRelational DBMS
Time Series DBMS
Native XML DBMSGraph DBMSRelational DBMSWide column store
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.25
Rank#90  Overall
#47  Relational DBMS
#7  Time Series DBMS
Score1.84
Rank#135  Overall
#4  Native XML DBMS
Score0.07
Rank#377  Overall
#40  Graph DBMS
Score4.04
Rank#77  Overall
#6  Wide column stores
Websitedruid.apache.orgbasex.orggalaxybase.comgeospock.comazure.microsoft.com/­en-us/­services/­storage/­tables
Technical documentationdruid.apache.org/­docs/­latest/­designdocs.basex.org
DeveloperApache Software Foundation and contributorsBaseX GmbHChuanglin(Createlink) Technology Co., Ltd 浙江创邻科技有限公司GeoSpockMicrosoft
Initial release2012200720172012
Current release29.0.1, April 202411.0, June 2024Nov 20, November 20212.0, September 2019
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoBSD licensecommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenononoyesyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC and JavaJava, Javascript
Server operating systemsLinux
OS X
Unix
Linux
OS X
Windows
Linuxhostedhosted
Data schemeyes infoschema-less columns are supportedschema-freeStrong typed schemayesschema-free
Typing infopredefined data types such as float or dateyesno 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.nononono
Secondary indexesyesyesyestemporal, categoricalno
SQL infoSupport of SQLSQL for queryingnonoANSI SQL for query only (using Presto)no
APIs and other access methodsJDBC
RESTful HTTP/JSON API
Java API
RESTful HTTP API
RESTXQ
WebDAV
XML:DB
XQJ
Browser interface
console (shell)
Graph API (Gremlin)
OpenCypher
Proprietary native API
JDBCRESTful HTTP API
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
Actionscript
C
C#
Haskell
Java
JavaScript infoNode.js
Lisp
Perl
PHP
Python
Qt
Rebol
Ruby
Scala
Visual Basic
Go
Java
Python
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresnoyesuser defined procedures and functionsnono
Triggersnoyes infovia eventsnono
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basednoneShardingAutomatic shardingSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesnoneyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes infoRelationships in graphsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanomultiple readers, single writerACIDnooptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnono
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemUsers with fine-grained authorization concept on 4 levelsRole-based access controlAccess rights for users can be defined per tableAccess rights based on private key authentication or shared access signatures

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More resources
Apache DruidBaseXGalaxybaseGeoSpockMicrosoft Azure Table Storage
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