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DBMS > Apache Druid vs. BaseX vs. GeoSpock vs. Titan

System Properties Comparison Apache Druid vs. BaseX vs. GeoSpock vs. Titan

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonBaseX  Xexclude from comparisonGeoSpock  Xexclude from comparisonTitan  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.Titan has been decommisioned after the takeover by Datastax. It will be removed from the DB-Engines ranking. A fork has been open-sourced as JanusGraph.
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.Spatial and temporal data processing engine for extreme data scaleTitan is a Graph DBMS optimized for distributed clusters.
Primary database modelRelational DBMS
Time Series DBMS
Native XML DBMSRelational DBMSGraph DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.34
Rank#88  Overall
#48  Relational DBMS
#7  Time Series DBMS
Score1.73
Rank#142  Overall
#4  Native XML DBMS
Websitedruid.apache.orgbasex.orggeospock.comgithub.com/­thinkaurelius/­titan
Technical documentationdruid.apache.org/­docs/­latest/­designdocs.basex.orggithub.com/­thinkaurelius/­titan/­wiki
DeveloperApache Software Foundation and contributorsBaseX GmbHGeoSpockAurelius, owned by DataStax
Initial release201220072012
Current release29.0.1, April 202410.7, August 20232.0, September 2019
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoBSD licensecommercialOpen Source infoApache license, version 2.0
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 languageJavaJavaJava, JavascriptJava
Server operating systemsLinux
OS X
Unix
Linux
OS X
Windows
hostedLinux
OS X
Unix
Windows
Data schemeyes infoschema-less columns are supportedschema-freeyesyes
Typing infopredefined data types such as float or dateyesno infoXQuery supports typesyesyes
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.nono
Secondary indexesyesyestemporal, categoricalyes
SQL infoSupport of SQLSQL for queryingnoANSI 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
JDBCJava API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
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
Clojure
Java
Python
Server-side scripts infoStored proceduresnoyesnoyes
Triggersnoyes infovia eventsnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basednoneAutomatic shardingyes infovia pluggable storage backends
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesnoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes infovia Faunus, a graph analytics engine
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynononoyes infoRelationships in graph
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanomultiple readers, single writernoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcast
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
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 levelsAccess rights for users can be defined per tableUser authentification and security via Rexster Graph Server

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More resources
Apache DruidBaseXGeoSpockTitan
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