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DBMS > GBase vs. Google Cloud Firestore vs. Oracle NoSQL vs. Sphinx vs. Tkrzw

System Properties Comparison GBase vs. Google Cloud Firestore vs. Oracle NoSQL vs. Sphinx vs. Tkrzw

Editorial information provided by DB-Engines
NameGBase  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonOracle NoSQL  Xexclude from comparisonSphinx  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparison
DescriptionWidely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.Cloud 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.A multi-model, scalable, distributed NoSQL database, designed to provide highly reliable, flexible, and available data management across a configurable set of storage nodesOpen source search engine for searching in data from different sources, e.g. relational databasesA 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 modelRelational DBMSDocument storeDocument store
Key-value store
Relational DBMS
Search engineKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.07
Rank#185  Overall
#86  Relational DBMS
Score7.85
Rank#51  Overall
#8  Document stores
Score2.95
Rank#100  Overall
#17  Document stores
#17  Key-value stores
#50  Relational DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Score0.00
Rank#383  Overall
#60  Key-value stores
Websitewww.gbase.cnfirebase.google.com/­products/­firestorewww.oracle.com/­database/­nosql/­technologies/­nosqlsphinxsearch.comdbmx.net/­tkrzw
Technical documentationfirebase.google.com/­docs/­firestoredocs.oracle.com/­en/­database/­other-databases/­nosql-database/­index.htmlsphinxsearch.com/­docs
DeveloperGeneral Data Technology Co., Ltd.GoogleOracleSphinx Technologies Inc.Mikio Hirabayashi
Initial release20042017201120012020
Current releaseGBase 8a, GBase 8s, GBase 8c23.3, December 20233.5.1, February 20230.9.3, August 2020
License infoCommercial or Open SourcecommercialcommercialOpen Source infoProprietary for Enterprise Edition (Oracle Database EE license has Oracle NoSQL database EE covered: details)Open Source infoGPL version 2, commercial licence availableOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, Java, PythonJavaC++C++
Server operating systemsLinuxhostedLinux
Solaris SPARC/x86
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
macOS
Data schemeyesschema-freeSupport Fixed schema and Schema-less deployment with the ability to interoperate between them.yesschema-free
Typing infopredefined data types such as float or dateyesyesoptionalnono
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.yesnonono
Secondary indexesyesyesyesyes infofull-text index on all search fields
SQL infoSupport of SQLStandard with numerous extensionsnoSQL-like DML and DDL statementsSQL-like query language (SphinxQL)no
APIs and other access methodsADO.NET
C API
JDBC
ODBC
Android
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
RESTful HTTP APIProprietary protocol
Supported programming languagesC#Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
C
C#
Go
Java
JavaScript (Node.js)
Python
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresuser defined functionsyes, Firebase Rules & Cloud Functionsnonono
Triggersyesyes, with Cloud Functionsnonono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by range, list and hash) and vertical partitioningShardingShardingSharding infoPartitioning is done manually, search queries against distributed index is supportednone
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replicationElectable source-replica replication per shard. Support distributed global deployment with Multi-region table featurenonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsUsing Cloud Dataflowwith Hadoop integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency infodepending on configuration
Immediate Consistency
Foreign keys infoReferential integrityyesnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesconfigurable infoACID within a storage node (=shard)no
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoThe original contents of fields are not stored in the Sphinx index.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infooff heap cacheyes infousing specific database classes
User concepts infoAccess controlyesAccess 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 and rolesnono

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More resources
GBaseGoogle Cloud FirestoreOracle NoSQLSphinxTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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