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DBMS > Apache Doris vs. Google Cloud Datastore vs. OrigoDB vs. PlanetScale vs. Sequoiadb

System Properties Comparison Apache Doris vs. Google Cloud Datastore vs. OrigoDB vs. PlanetScale vs. Sequoiadb

Editorial information provided by DB-Engines
NameApache Doris  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonOrigoDB  Xexclude from comparisonPlanetScale  Xexclude from comparisonSequoiadb  Xexclude from comparison
DescriptionAn MPP-based analytics DBMS embracing the MySQL protocolAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformA 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 storeDocument 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
Score4.36
Rank#72  Overall
#12  Document stores
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
cloud.google.com/­datastoreorigodb.complanetscale.comwww.sequoiadb.com
Technical documentationgithub.com/­apache/­doris/­wikicloud.google.com/­datastore/­docsorigodb.com/­docsplanetscale.com/­docswww.sequoiadb.com/­en/­index.php?m=Files&a=index
DeveloperApache Software Foundation, originally contributed from BaiduGoogleRobert Friberg et alPlanetScaleSequoiadb Ltd.
Initial release201720082009 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 schemeyesschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesyes, details hereUser 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.nonono infocan be achieved using .NETno
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLyesSQL-like query language (GQL)noyes infowith proprietary extensionsSQL-like query language
APIs and other access methodsJDBC
MySQL client
gRPC (using protocol buffers) API
RESTful HTTP/JSON API
.NET Client API
HTTP API
LINQ
ADO.NET
JDBC
MySQL protocol
ODBC
proprietary protocol using JSON
Supported programming languagesJava.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.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 functionsusing Google App Engineyesyes infoproprietary syntaxJavaScript
TriggersnoCallbacks using the Google Apps Engineyes infoDomain Eventsyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardinghorizontal partitioning infoclient side managed; servers are not synchronizedShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication using PaxosSource-replica replicationMulti-source replication
Source-replica replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infousing Google Cloud Dataflownonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.Eventual Consistency across shards
Immediate Consistency within a shard
Eventual Consistency
Foreign keys infoReferential integritynoyes infovia ReferenceProperties or Ancestor pathsdepending on modelyes infonot for MyISAM storage engineno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACIDACID 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-standardAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Role based authorizationUsers with fine-grained authorization concept infono user groups or rolessimple password-based access control

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More resources
Apache DorisGoogle Cloud DatastoreOrigoDBPlanetScaleSequoiadb
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