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DBMS > Apache Druid vs. Apache IoTDB vs. BaseX vs. Blazegraph vs. Quasardb

System Properties Comparison Apache Druid vs. Apache IoTDB vs. BaseX vs. Blazegraph vs. Quasardb

Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonApache IoTDB  Xexclude from comparisonBaseX  Xexclude from comparisonBlazegraph  Xexclude from comparisonQuasardb  Xexclude from comparison
Amazon has acquired Blazegraph's domain and (probably) product. It is said that Amazon Neptune is based on Blazegraph.
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataAn IoT native database with high performance for data management and analysis, deployable on the edge and the cloud and integrated with Hadoop, Spark and FlinkLight-weight Native XML DBMS with support for XQuery 3.0 and interactive GUI.High-performance graph database supporting Semantic Web (RDF/SPARQL) and Graph Database (tinkerpop3, blueprints, vertex-centric) APIs with scale-out and High Availability.Distributed, high-performance timeseries database
Primary database modelRelational DBMS
Time Series DBMS
Time Series DBMSNative XML DBMSGraph DBMS
RDF store
Time 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
Score1.18
Rank#173  Overall
#15  Time Series DBMS
Score1.73
Rank#142  Overall
#4  Native XML DBMS
Score0.75
Rank#219  Overall
#19  Graph DBMS
#8  RDF stores
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Websitedruid.apache.orgiotdb.apache.orgbasex.orgblazegraph.comquasar.ai
Technical documentationdruid.apache.org/­docs/­latest/­designiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmldocs.basex.orgwiki.blazegraph.comdoc.quasar.ai/­master
DeveloperApache Software Foundation and contributorsApache Software FoundationBaseX GmbHBlazegraphquasardb
Initial release20122018200720062009
Current release29.0.1, April 20241.1.0, April 202310.7, August 20232.1.5, March 20193.14.1, January 2024
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoApache Version 2.0Open Source infoBSD licenseOpen Source infoextended commercial license availablecommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaJavaJavaC++
Server operating systemsLinux
OS X
Unix
All OS with a Java VM (>= 1.8)Linux
OS X
Windows
Linux
OS X
Windows
BSD
Linux
OS X
Windows
Data schemeyes infoschema-less columns are supportedyesschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesno infoXQuery supports typesyes infoRDF literal typesyes 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.nonono
Secondary indexesyesyesyesyesyes infowith tags
SQL infoSupport of SQLSQL for queryingSQL-like query languagenoSPARQL is used as query languageSQL-like query language
APIs and other access methodsJDBC
RESTful HTTP/JSON API
JDBC
Native API
Java API
RESTful HTTP API
RESTXQ
WebDAV
XML:DB
XQJ
Java API
RESTful HTTP API
SPARQL QUERY
SPARQL UPDATE
TinkerPop 3
HTTP API
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
C
C#
C++
Go
Java
Python
Scala
Actionscript
C
C#
Haskell
Java
JavaScript infoNode.js
Lisp
Perl
PHP
Python
Qt
Rebol
Ruby
Scala
Visual Basic
.Net
C
C++
Java
JavaScript
PHP
Python
Ruby
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresnoyesyesyesno
Triggersnoyesyes infovia eventsnono
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedhorizontal partitioning (by time range) + vertical partitioning (by deviceId)noneShardingSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasnoneyesSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoIntegration with Hadoop and Sparknonowith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Strong Consistency with Raft
Immediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynononoyes infoRelationships in Graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonomultiple readers, single writerACIDACID
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.noyesyes infoTransient mode
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemyesUsers with fine-grained authorization concept on 4 levelsSecurity and Authentication via Web Application Container (Tomcat, Jetty)Cryptographically strong user authentication and audit trail

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More resources
Apache DruidApache IoTDBBaseXBlazegraphQuasardb
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