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DBMS > Google Cloud Firestore vs. Hive vs. OceanBase vs. Tkrzw

System Properties Comparison Google Cloud Firestore vs. Hive vs. OceanBase vs. Tkrzw

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Editorial information provided by DB-Engines
NameGoogle Cloud Firestore  Xexclude from comparisonHive  Xexclude from comparisonOceanBase  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  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.data warehouse software for querying and managing large distributed datasets, built on HadoopA distributed, high available RDBMS compatible with Oracle and MySQLA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet
Primary database modelDocument storeRelational DBMSRelational DBMSKey-value store
Secondary database modelsDocument store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.85
Rank#51  Overall
#8  Document stores
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score1.66
Rank#147  Overall
#68  Relational DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
Websitefirebase.google.com/­products/­firestorehive.apache.orgen.oceanbase.comdbmx.net/­tkrzw
Technical documentationfirebase.google.com/­docs/­firestorecwiki.apache.org/­confluence/­display/­Hive/­Homeen.oceanbase.com/­docs/­oceanbase-database
DeveloperGoogleApache Software Foundation infoinitially developed by FacebookOceanBase infopreviously Alibaba and Ant GroupMikio Hirabayashi
Initial release2017201220102020
Current release3.1.3, April 20224.3.0, April 20240.9.3, August 2020
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2Open Source infoCommercial license availableOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++C++
Server operating systemshostedAll OS with a Java VMLinuxLinux
macOS
Data schemeschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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
Secondary indexesyesyesyes
SQL infoSupport of SQLnoSQL-like DML and DDL statementsyesno
APIs and other access methodsAndroid
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
JDBC
ODBC
Thrift
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Proprietary native API
Table API
Supported programming languagesGo
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
C++
Java
PHP
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
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresyes, Firebase Rules & Cloud Functionsyes infouser defined functions and integration of map-reducePL/SQL in oracle-compatible mode, MySQL Stored Procedure in mysql-compatible modeno
Triggersyes, with Cloud Functionsnoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal partitioning (by hash, key, range, range columns, list, and list columns)none
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationselectable replication factorMulti-source replication using Paxosnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsUsing Cloud Dataflowyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infousing specific database classes
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.Access rights for users, groups and rolesAccess rights for users, groups and roles according to SQL-standardno

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More resources
Google Cloud FirestoreHiveOceanBaseTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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