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DBMS > Apache Druid vs. IRONdb vs. Postgres-XL vs. Quasardb

System Properties Comparison Apache Druid vs. IRONdb vs. Postgres-XL vs. Quasardb

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonIRONdb  Xexclude from comparisonPostgres-XL  Xexclude from comparisonQuasardb  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityBased on PostgreSQL enhanced with MPP and write-scale-out cluster featuresDistributed, high-performance timeseries database
Primary database modelRelational DBMS
Time Series DBMS
Time Series DBMSRelational DBMSTime Series DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.29
Rank#95  Overall
#49  Relational DBMS
#7  Time Series DBMS
Score0.52
Rank#256  Overall
#117  Relational DBMS
Score0.19
Rank#327  Overall
#30  Time Series DBMS
Websitedruid.apache.orgwww.circonus.com/solutions/time-series-database/www.postgres-xl.orgquasar.ai
Technical documentationdruid.apache.org/­docs/­latest/­designdocs.circonus.com/irondb/category/getting-startedwww.postgres-xl.org/­documentationdoc.quasar.ai/­master
DeveloperApache Software Foundation and contributorsCirconus LLC.quasardb
Initial release201220172014 infosince 2012, originally named StormDB2009
Current release29.0.1, April 2024V0.10.20, January 201810 R1, October 20183.14.1, January 2024
License infoCommercial or Open SourceOpen Source infoApache license v2commercialOpen Source infoMozilla public licensecommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC and C++CC++
Server operating systemsLinux
OS X
Unix
LinuxLinux
macOS
BSD
Linux
OS X
Windows
Data schemeyes infoschema-less columns are supportedschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyes infotext, numeric, histogramsyesyes 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.nonoyes infoXML type, but no XML query functionalityno
Secondary indexesyesnoyesyes infowith tags
SQL infoSupport of SQLSQL for queryingSQL-like query language (Circonus Analytics Query Language: CAQL)yes infodistributed, parallel query executionSQL-like query language
APIs and other access methodsJDBC
RESTful HTTP/JSON API
HTTP APIADO.NET
JDBC
native C library
ODBC
streaming API for large objects
HTTP API
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresnoyes, in Luauser defined functionsno
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedAutomatic, metric affinity per nodehorizontal partitioningSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesconfigurable replication factor, datacenter awareSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononowith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate consistency per node, eventual consistency across nodesImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID infoMVCCACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nononoyes infoTransient mode
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemnofine grained access rights according to SQL-standardCryptographically strong user authentication and audit trail

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More resources
Apache DruidIRONdbPostgres-XLQuasardb
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