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DBMS > Apache Druid vs. Firebolt vs. Hawkular Metrics vs. Quasardb

System Properties Comparison Apache Druid vs. Firebolt vs. Hawkular Metrics vs. Quasardb

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonFirebolt  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonQuasardb  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataHighly scalable cloud data warehouse and analytics product infoForked from ClickhouseHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.Distributed, high-performance timeseries database
Primary database modelRelational DBMS
Time Series DBMS
Relational DBMSTime Series DBMSTime 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
Score1.90
Rank#134  Overall
#62  Relational DBMS
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Websitedruid.apache.orgwww.firebolt.iowww.hawkular.orgquasar.ai
Technical documentationdruid.apache.org/­docs/­latest/­designdocs.firebolt.iowww.hawkular.org/­hawkular-metrics/­docs/­user-guidedoc.quasar.ai/­master
DeveloperApache Software Foundation and contributorsFirebolt Analytics Inc.Community supported by Red Hatquasardb
Initial release2012202020142009
Current release29.0.1, April 20243.14.1, January 2024
License infoCommercial or Open SourceOpen Source infoApache license v2commercialOpen Source infoApache 2.0commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaC++
Server operating systemsLinux
OS X
Unix
hostedLinux
OS X
Windows
BSD
Linux
OS X
Windows
Data schemeyes infoschema-less columns are supportedyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesyes 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 indexesyesyesnoyes infowith tags
SQL infoSupport of SQLSQL for queryingyesnoSQL-like query language
APIs and other access methodsJDBC
RESTful HTTP/JSON API
.Net
ODBC
RESTful HTTP API
HTTP RESTHTTP API
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
Go
JavaScript (Node.js)
Python
Go
Java
Python
Ruby
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresnononono
Triggersnonoyes infovia Hawkular Alertingno
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedSharding infobased on CassandraSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesdepending on storage layerselectable replication factor infobased on CassandraSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonowith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes infoTransient mode
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemnoCryptographically strong user authentication and audit trail

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More resources
Apache DruidFireboltHawkular MetricsQuasardb
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