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DBMS > FatDB vs. GBase vs. Google Cloud Firestore vs. Sphinx vs. SurrealDB

System Properties Comparison FatDB vs. GBase vs. Google Cloud Firestore vs. Sphinx vs. SurrealDB

Editorial information provided by DB-Engines
NameFatDB  Xexclude from comparisonGBase  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonSphinx  Xexclude from comparisonSurrealDB  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
DescriptionA .NET NoSQL DBMS that can integrate with and extend SQL Server.Widely 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.Open source search engine for searching in data from different sources, e.g. relational databasesA fully ACID transactional, developer-friendly, multi-model DBMS
Primary database modelDocument store
Key-value store
Relational DBMSDocument storeSearch engineDocument store
Graph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.05
Rank#186  Overall
#86  Relational DBMS
Score7.36
Rank#53  Overall
#9  Document stores
Score5.95
Rank#55  Overall
#5  Search engines
Score1.02
Rank#190  Overall
#33  Document stores
#18  Graph DBMS
Websitewww.gbase.cnfirebase.google.com/­products/­firestoresphinxsearch.comsurrealdb.com
Technical documentationfirebase.google.com/­docs/­firestoresphinxsearch.com/­docssurrealdb.com/­docs
DeveloperFatCloudGeneral Data Technology Co., Ltd.GoogleSphinx Technologies Inc.SurrealDB Ltd
Initial release20122004201720012022
Current releaseGBase 8a, GBase 8s, GBase 8c3.5.1, February 2023v1.5.0, May 2024
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoGPL version 2, commercial licence availableOpen Source
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC#C, Java, PythonC++Rust
Server operating systemsWindowsLinuxhostedFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
macOS
Windows
Data schemeschema-freeyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesyesnoyes
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.yesno
Secondary indexesyesyesyesyes infofull-text index on all search fields
SQL infoSupport of SQLno infoVia inetgration in SQL ServerStandard with numerous extensionsnoSQL-like query language (SphinxQL)SQL-like query language
APIs and other access methods.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
ADO.NET
C API
JDBC
ODBC
Android
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
Proprietary protocolGraphQL
RESTful HTTP API
WebSocket
Supported programming languagesC#C#Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Deno
Go
JavaScript (Node.js)
Rust
Server-side scripts infoStored proceduresyes infovia applicationsuser defined functionsyes, Firebase Rules & Cloud Functionsno
Triggersyes infovia applicationsyesyes, with Cloud Functionsno
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning (by range, list and hash) and vertical partitioningShardingSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryesMulti-source replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesUsing Cloud Dataflownono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDyesnoACID
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
User concepts infoAccess controlno infoCan implement custom security layer via applicationsyesAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.noyes, based on authentication and database rules

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More resources
FatDBGBaseGoogle Cloud FirestoreSphinxSurrealDB
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