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

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

Editorial information provided by DB-Engines
NameApache Doris  Xexclude from comparisonApache Druid  Xexclude from comparisonGoogle BigQuery  Xexclude from comparisonHarperDB  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 tablesUltra-low latency distributed database with an intuitive REST API supporting NoSQL and SQL (including joins). Deployment of functions and databases simultaneously with a consolidated node-level architecture.RDBMS for high security requirements
Primary database modelRelational DBMSRelational DBMS
Time Series DBMS
Relational DBMSDocument storeRelational 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
Score0.55
Rank#255  Overall
#39  Document stores
Score0.15
Rank#339  Overall
#147  Relational DBMS
Websitedoris.apache.org
github.com/­apache/­doris
druid.apache.orgcloud.google.com/­bigquerywww.harperdb.iolinter.ru
Technical documentationgithub.com/­apache/­doris/­wikidruid.apache.org/­docs/­latest/­designcloud.google.com/­bigquery/­docsdocs.harperdb.io/­docs
DeveloperApache Software Foundation, originally contributed from BaiduApache Software Foundation and contributorsGoogleHarperDBrelex.ru
Initial release20172012201020171990
Current release1.2.2, February 202329.0.0, February 20243.1, August 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache license v2commercialcommercial infofree community edition availablecommercial
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaNode.jsC and C++
Server operating systemsLinuxLinux
OS X
Unix
hostedLinux
OS X
AIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows
Data schemeyesyes infoschema-less columns are supportedyesdynamic schemayes
Typing infopredefined data types such as float or dateyesyesyesyes infoJSON data typesyes
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 indexesyesyesnoyesyes
SQL infoSupport of SQLyesSQL for queryingyesSQL-like data manipulation statementsyes
APIs and other access methodsJDBC
MySQL client
JDBC
RESTful HTTP/JSON API
RESTful HTTP/JSON APIJDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
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
.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
C
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl
Server-side scripts infoStored proceduresuser defined functionsnouser defined functions infoin JavaScriptCustom Functions infosince release 3.1yes 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-basednoneA table resides as a whole on one (or more) nodes in a clusternone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes, via HDFS, S3 or other storage enginesyes infothe nodes on which a table resides can be definedSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono infoSince BigQuery is designed for querying dataAtomic execution of specific operationsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes, using LMDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nononoyes
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)Access rights for users and rolesfine grained access rights according to SQL-standard

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More resources
Apache DorisApache DruidGoogle BigQueryHarperDBLinter
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