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DBMS > Google Cloud Firestore vs. PlanetScale vs. Sadas Engine vs. TimesTen

System Properties Comparison Google Cloud Firestore vs. PlanetScale vs. Sadas Engine vs. TimesTen

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Editorial information provided by DB-Engines
NameGoogle Cloud Firestore  Xexclude from comparisonPlanetScale  Xexclude from comparisonSadas Engine  Xexclude from comparisonTimesTen  Xexclude from comparison
DescriptionCloud Firestore is an auto-scaling document database for storing, syncing, and querying data for mobile and web apps. It offers seamless integration with other Firebase and Google Cloud Platform products.Scalable, distributed, serverless MySQL database platform built on top of VitessSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environmentsIn-Memory RDBMS compatible to Oracle
Primary database modelDocument storeRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.36
Rank#53  Overall
#9  Document stores
Score1.49
Rank#155  Overall
#72  Relational DBMS
Score0.07
Rank#373  Overall
#157  Relational DBMS
Score1.36
Rank#161  Overall
#75  Relational DBMS
Websitefirebase.google.com/­products/­firestoreplanetscale.comwww.sadasengine.comwww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationfirebase.google.com/­docs/­firestoreplanetscale.com/­docswww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentationdocs.oracle.com/­database/­timesten-18.1
DeveloperGooglePlanetScaleSADAS s.r.l.Oracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release2017202020061998
Current release8.011 Release 2 (11.2.2.8.0)
License infoCommercial or Open Sourcecommercialcommercialcommercial infofree trial version availablecommercial
Cloud-based only infoOnly available as a cloud serviceyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoC++
Server operating systemshostedDocker
Linux
macOS
AIX
Linux
Windows
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemeschema-freeyesyesyes
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.nonono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLnoyes infowith proprietary extensionsyesyes
APIs and other access methodsAndroid
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
ADO.NET
JDBC
MySQL protocol
ODBC
JDBC
ODBC
Proprietary protocol
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Supported programming languagesGo
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
.Net
C
C#
C++
Groovy
Java
PHP
Python
C
C++
Java
PL/SQL
Server-side scripts infoStored proceduresyes, Firebase Rules & Cloud Functionsyes infoproprietary syntaxnoPL/SQL
Triggersyes, with Cloud Functionsyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationMulti-source replication
Source-replica replication
noneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsUsing Cloud Dataflownonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Immediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynoyes infonot for MyISAM storage engineyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACID at shard levelACID
Concurrency infoSupport for concurrent manipulation of datayesyes infotable locks or row locks depending on storage engineyesyes
Durability infoSupport for making data persistentyesyesyesyes infoby means of logfiles and checkpoints
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infomanaged by 'Learn by Usage'yes
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.Users with fine-grained authorization concept infono user groups or rolesAccess rights for users, groups and roles according to SQL-standardfine grained access rights according to SQL-standard

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More resources
Google Cloud FirestorePlanetScaleSadas EngineTimesTen
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