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DBMS > Apache Drill vs. Apache Druid vs. Quasardb vs. Yanza

System Properties Comparison Apache Drill vs. Apache Druid vs. Quasardb vs. Yanza

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Editorial information provided by DB-Engines
NameApache Drill  Xexclude from comparisonApache Druid  Xexclude from comparisonQuasardb  Xexclude from comparisonYanza  Xexclude from comparison
Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionSchema-free SQL Query Engine for Hadoop, NoSQL and Cloud StorageOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataDistributed, high-performance timeseries databaseTime Series DBMS for IoT Applications
Primary database modelDocument store
Relational DBMS
Relational DBMS
Time Series DBMS
Time Series DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.28
Rank#119  Overall
#23  Document stores
#56  Relational DBMS
Score3.29
Rank#95  Overall
#49  Relational DBMS
#7  Time Series DBMS
Score0.19
Rank#327  Overall
#30  Time Series DBMS
Websitedrill.apache.orgdruid.apache.orgquasar.aiyanza.com
Technical documentationdrill.apache.org/­docsdruid.apache.org/­docs/­latest/­designdoc.quasar.ai/­master
DeveloperApache Software FoundationApache Software Foundation and contributorsquasardbYanza
Initial release2012201220092015
Current release1.20.3, January 202329.0.1, April 20243.14.1, January 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache license v2commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensescommercial infofree version available
Cloud-based only infoOnly available as a cloud servicenononono infobut mainly used as a service provided by Yanza
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++
Server operating systemsLinux
OS X
Windows
Linux
OS X
Unix
BSD
Linux
OS X
Windows
Windows
Data schemeschema-freeyes infoschema-less columns are supportedschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyes infointeger and binaryno
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 indexesnoyesyes infowith tagsno
SQL infoSupport of SQLSQL SELECT statement is SQL:2003 compliantSQL for queryingSQL-like query languageno
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JDBC
RESTful HTTP/JSON API
HTTP APIHTTP API
Supported programming languagesC++Clojure
JavaScript
PHP
Python
R
Ruby
Scala
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
any language that supports HTTP calls
Server-side scripts infoStored proceduresuser defined functionsnonono
Triggersnononoyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infomanual/auto, time-basedSharding infoconsistent hashingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesSource-replica replication with selectable replication factornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnowith Hadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentDepending on the underlying data sourceyesyes infoby using LevelDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Depending on the underlying data sourcenoyes infoTransient mode
User concepts infoAccess controlDepending on the underlying data sourceRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemCryptographically strong user authentication and audit trailno

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More resources
Apache DrillApache DruidQuasardbYanza
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