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DBMS > Apache Doris vs. Apache Druid vs. Google BigQuery vs. Heroic vs. Linter

System Properties Comparison Apache Doris vs. Apache Druid vs. Google BigQuery vs. Heroic vs. Linter

Editorial information provided by DB-Engines
NameApache Doris  Xexclude from comparisonApache Druid  Xexclude from comparisonGoogle BigQuery  Xexclude from comparisonHeroic  Xexclude from comparisonLinter  Xexclude from comparison
DescriptionAn MPP-based analytics DBMS embracing the MySQL protocolOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataLarge scale data warehouse service with append-only tablesTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchRDBMS for high security requirements
Primary database modelRelational DBMSRelational DBMS
Time Series DBMS
Relational DBMSTime Series DBMSRelational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.84
Rank#217  Overall
#100  Relational DBMS
Score3.33
Rank#99  Overall
#51  Relational DBMS
#7  Time Series DBMS
Score62.67
Rank#19  Overall
#13  Relational DBMS
Score0.63
Rank#242  Overall
#21  Time Series DBMS
Score0.15
Rank#339  Overall
#147  Relational DBMS
Websitedoris.apache.org
github.com/­apache/­doris
druid.apache.orgcloud.google.com/­bigquerygithub.com/­spotify/­heroiclinter.ru
Technical documentationgithub.com/­apache/­doris/­wikidruid.apache.org/­docs/­latest/­designcloud.google.com/­bigquery/­docsspotify.github.io/­heroic
DeveloperApache Software Foundation, originally contributed from BaiduApache Software Foundation and contributorsGoogleSpotifyrelex.ru
Initial release20172012201020141990
Current release1.2.2, February 202329.0.0, February 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache license v2commercialOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaJavaC and C++
Server operating systemsLinuxLinux
OS X
Unix
hostedAIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows
Data schemeyesyes infoschema-less columns are supportedyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nonononono
Secondary indexesyesyesnoyes infovia Elasticsearchyes
SQL infoSupport of SQLyesSQL for queryingyesnoyes
APIs and other access methodsJDBC
MySQL client
JDBC
RESTful HTTP/JSON API
RESTful HTTP/JSON APIHQL (Heroic Query Language, a JSON-based language)
HTTP API
ADO.NET
JDBC
LINQ
ODBC
OLE DB
Oracle Call Interface (OCI)
Supported programming languagesJavaClojure
JavaScript
PHP
Python
R
Ruby
Scala
.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
C
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl
Server-side scripts infoStored proceduresuser defined functionsnouser defined functions infoin JavaScriptnoyes infoproprietary syntax with the possibility to convert from PL/SQL
Triggersnonononoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningSharding infomanual/auto, time-basednoneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes, via HDFS, S3 or other storage enginesyesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynonononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono infoSince BigQuery is designed for querying datanoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nononono
User concepts infoAccess controlfine grained access rights according to SQL-standardRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)fine grained access rights according to SQL-standard

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More resources
Apache DorisApache DruidGoogle BigQueryHeroicLinter
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