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DBMS > Apache Druid vs. Firebolt vs. Heroic vs. PostGIS

System Properties Comparison Apache Druid vs. Firebolt vs. Heroic vs. PostGIS

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonFirebolt  Xexclude from comparisonHeroic  Xexclude from comparisonPostGIS  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 ClickhouseTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchSpatial extension of PostgreSQL
Primary database modelRelational DBMS
Time Series DBMS
Relational DBMSTime Series DBMSSpatial DBMS
Secondary database modelsRelational 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
Score0.51
Rank#255  Overall
#21  Time Series DBMS
Score22.69
Rank#29  Overall
#1  Spatial DBMS
Websitedruid.apache.orgwww.firebolt.iogithub.com/­spotify/­heroicpostgis.net
Technical documentationdruid.apache.org/­docs/­latest/­designdocs.firebolt.iospotify.github.io/­heroicpostgis.net/­documentation
DeveloperApache Software Foundation and contributorsFirebolt Analytics Inc.Spotify
Initial release2012202020142005
Current release29.0.1, April 20243.4.2, February 2024
License infoCommercial or Open SourceOpen Source infoApache license v2commercialOpen Source infoApache 2.0Open Source infoGPL v2.0
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC
Server operating systemsLinux
OS X
Unix
hosted
Data schemeyes infoschema-less columns are supportedyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyes
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
Secondary indexesyesyesyes infovia Elasticsearchyes
SQL infoSupport of SQLSQL for queryingyesnoyes
APIs and other access methodsJDBC
RESTful HTTP/JSON API
.Net
ODBC
RESTful HTTP API
HQL (Heroic Query Language, a JSON-based language)
HTTP API
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
Go
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnononouser defined functions
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedShardingyes infobased on PostgreSQL
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesdepending on storage layeryesyes infobased on PostgreSQL
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynonoyes
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
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemyes infobased on PostgreSQL

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More resources
Apache DruidFireboltHeroicPostGIS
DB-Engines blog posts

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