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DBMS > Google Cloud Firestore vs. Hyprcubd vs. OceanBase vs. Spark SQL vs. STSdb

System Properties Comparison Google Cloud Firestore vs. Hyprcubd vs. OceanBase vs. Spark SQL vs. STSdb

Editorial information provided by DB-Engines
NameGoogle Cloud Firestore  Xexclude from comparisonHyprcubd  Xexclude from comparisonOceanBase  Xexclude from comparisonSpark SQL  Xexclude from comparisonSTSdb  Xexclude from comparison
Hyprcubd seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
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.Serverless Time Series DBMSA distributed, high available RDBMS compatible with Oracle and MySQLSpark SQL is a component on top of 'Spark Core' for structured data processingKey-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelDocument storeTime Series DBMSRelational DBMSRelational DBMSKey-value store
Secondary database modelsDocument store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.36
Rank#53  Overall
#9  Document stores
Score1.57
Rank#149  Overall
#69  Relational DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Score0.10
Rank#357  Overall
#51  Key-value stores
Websitefirebase.google.com/­products/­firestorehyprcubd.com (offline)en.oceanbase.comspark.apache.org/­sqlgithub.com/­STSSoft/­STSdb4
Technical documentationfirebase.google.com/­docs/­firestoreen.oceanbase.com/­docs/­oceanbase-databasespark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperGoogleHyprcubd, Inc.OceanBase infopreviously Alibaba and Ant GroupApache Software FoundationSTS Soft SC
Initial release2017201020142011
Current release4.3.0, April 20243.5.0 ( 2.13), September 20234.0.8, September 2015
License infoCommercial or Open SourcecommercialcommercialOpen Source infoCommercial license availableOpen Source infoApache 2.0Open Source infoGPLv2, commercial license available
Cloud-based only infoOnly available as a cloud serviceyesyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoC++ScalaC#
Server operating systemshostedhostedLinuxLinux
OS X
Windows
Windows
Data schemeschema-freeyesyesyesyes
Typing infopredefined data types such as float or dateyesyes infotime, int, uint, float, stringyesyesyes infoprimitive types and user defined types (classes)
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.nonoyesno
Secondary indexesyesnoyesnono
SQL infoSupport of SQLnoSQL-like query languageyesSQL-like DML and DDL statementsno
APIs and other access methodsAndroid
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
gRPC (https)JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Proprietary native API
Table API
JDBC
ODBC
.NET Client API
Supported programming languagesGo
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
Ada infoin MySQL-compatible model
C infoin Oracle- and MySQL- compatible models
C++ infoin Oracle- and MySQL- compatible models
D infoin MySQL-compatible model
Delphi infoin MySQL-compatible model
Eiffel infoin MySQL-compatible model
Erlang infoin MySQL-compatible model
Haskell infoin MySQL-compatible model
Java infoin Oracle- and MySQL- compatible models
JavaScript (Node.js) infoin MySQL-compatible model
Objective-C infoin MySQL-compatible model
OCaml infoin MySQL-compatible model
Perl infoin MySQL-compatible model
PHP infoin MySQL-compatible model
Python infoin MySQL-compatible model
Ruby infoin MySQL-compatible model
Scheme infoin MySQL-compatible model
Tcl infoin MySQL-compatible model
Java
Python
R
Scala
C#
Java
Server-side scripts infoStored proceduresyes, Firebase Rules & Cloud FunctionsnoPL/SQL in oracle-compatible mode, MySQL Stored Procedure in mysql-compatible modenono
Triggersyes, with Cloud Functionsnoyesnono
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning (by hash, key, range, range columns, list, and list columns)yes, utilizing Spark Corenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationMulti-source replication using Paxosnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsUsing Cloud Dataflownonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnoACIDnono
Concurrency infoSupport for concurrent manipulation of datayesnoyesyesyes
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.nono
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.token accessAccess rights for users, groups and roles according to SQL-standardnono

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More resources
Google Cloud FirestoreHyprcubdOceanBaseSpark SQLSTSdb
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