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DBMS > Apache Doris vs. Databricks vs. OrigoDB vs. PlanetScale vs. Sequoiadb

System Properties Comparison Apache Doris vs. Databricks vs. OrigoDB vs. PlanetScale vs. Sequoiadb

Editorial information provided by DB-Engines
NameApache Doris  Xexclude from comparisonDatabricks  Xexclude from comparisonOrigoDB  Xexclude from comparisonPlanetScale  Xexclude from comparisonSequoiadb  Xexclude from comparison
DescriptionAn MPP-based analytics DBMS embracing the MySQL protocolThe Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.A fully ACID in-memory object graph databaseScalable, distributed, serverless MySQL database platform built on top of VitessNewSQL database with distributed OLTP and SQL
Primary database modelRelational DBMSDocument store
Relational DBMS
Document store
Object oriented DBMS
Relational DBMSDocument store
Relational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.60
Rank#247  Overall
#113  Relational DBMS
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score0.06
Rank#380  Overall
#50  Document stores
#18  Object oriented DBMS
Score1.49
Rank#155  Overall
#72  Relational DBMS
Score0.50
Rank#258  Overall
#41  Document stores
#120  Relational DBMS
Websitedoris.apache.org
github.com/­apache/­doris
www.databricks.comorigodb.complanetscale.comwww.sequoiadb.com
Technical documentationgithub.com/­apache/­doris/­wikidocs.databricks.comorigodb.com/­docsplanetscale.com/­docswww.sequoiadb.com/­en/­index.php?m=Files&a=index
DeveloperApache Software Foundation, originally contributed from BaiduDatabricksRobert Friberg et alPlanetScaleSequoiadb Ltd.
Initial release201720132009 infounder the name LiveDB20202013
Current release1.2.2, February 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen SourcecommercialOpen Source infoServer: AGPL; Client: Apache V2
Cloud-based only infoOnly available as a cloud servicenoyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC#GoC++
Server operating systemsLinuxhostedLinux
Windows
Docker
Linux
macOS
Linux
Data schemeyesFlexible Schema (defined schema, partial schema, schema free)yesyesschema-free
Typing infopredefined data types such as float or dateyesUser defined using .NET types and collectionsyesyes infooid, date, timestamp, binary, regex
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.noyesno infocan be achieved using .NETno
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLyeswith Databricks SQLnoyes infowith proprietary extensionsSQL-like query language
APIs and other access methodsJDBC
MySQL client
JDBC
ODBC
RESTful HTTP API
.NET Client API
HTTP API
LINQ
ADO.NET
JDBC
MySQL protocol
ODBC
proprietary protocol using JSON
Supported programming languagesJavaPython
R
Scala
.NetAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
.Net
C++
Java
PHP
Python
Server-side scripts infoStored proceduresuser defined functionsuser defined functions and aggregatesyesyes infoproprietary syntaxJavaScript
Triggersnoyes infoDomain Eventsyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioninghorizontal partitioning infoclient side managed; servers are not synchronizedShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesSource-replica replicationMulti-source replication
Source-replica replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Eventual Consistency
Foreign keys infoReferential integritynodepending on modelyes infonot for MyISAM storage engineno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID at shard levelDocument is locked during a transaction
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infotable locks or row locks depending on storage engineyes
Durability infoSupport for making data persistentyesyesyes infoWrite ahead logyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardRole based authorizationUsers with fine-grained authorization concept infono user groups or rolessimple password-based access control
More information provided by the system vendor
Apache DorisDatabricksOrigoDBPlanetScaleSequoiadb
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
Apache DorisDatabricksOrigoDBPlanetScaleSequoiadb
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