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DBMS > FatDB vs. Galaxybase vs. Google Cloud Firestore vs. Spark SQL vs. UniData,UniVerse

System Properties Comparison FatDB vs. Galaxybase vs. Google Cloud Firestore vs. Spark SQL vs. UniData,UniVerse

Editorial information provided by DB-Engines
NameFatDB  Xexclude from comparisonGalaxybase  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonSpark SQL  Xexclude from comparisonUniData,UniVerse  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.Scalable, ACID-compliant native distributed parallel graph platformCloud 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.Spark SQL is a component on top of 'Spark Core' for structured data processingMultiValue database and application server with SQL mapping layer and meta database capabilities
Primary database modelDocument store
Key-value store
Graph DBMSDocument storeRelational DBMSMultivalue DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.00
Rank#383  Overall
#39  Graph DBMS
Score7.85
Rank#51  Overall
#8  Document stores
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score3.16
Rank#97  Overall
#2  Multivalue DBMS
Websitegalaxybase.comfirebase.google.com/­products/­firestorespark.apache.org/­sqlwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-unidata
Technical documentationfirebase.google.com/­docs/­firestorespark.apache.org/­docs/­latest/­sql-programming-guide.htmldocs.rocketsoftware.com/­bundle?cluster=true&labelkey=unidata&labelkey=prod_unidata
DeveloperFatCloudChuanglin(Createlink) Technology Co., Ltd 浙江创邻科技有限公司GoogleApache Software FoundationRocket Software
Initial release20122017201720141985
Current releaseNov 20, November 20213.5.0 ( 2.13), September 2023
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC#C and JavaScalaC
Server operating systemsWindowsLinuxhostedLinux
OS X
Windows
AIX
HP-UX
Linux
Solaris
Windows
Data schemeschema-freeStrong typed schemaschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesoptional
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 indexesyesyesyesnoyes
SQL infoSupport of SQLno infoVia inetgration in SQL ServernonoSQL-like DML and DDL statementsyes
APIs and other access methods.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
Browser interface
console (shell)
Graph API (Gremlin)
OpenCypher
Proprietary native API
Android
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
JDBC
ODBC
Java API infoJPA
JDBC
ODBC
OLE DB
Proprietary protocol
RESTful HTTP API
SOAP-based API
Supported programming languagesC#Go
Java
Python
Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
Java
Python
R
Scala
.Net
Basic infoU2 Basic
C
Java
Server-side scripts infoStored proceduresyes infovia applicationsuser defined procedures and functionsyes, Firebase Rules & Cloud Functionsnoyes
Triggersyes infovia applicationsyes, with Cloud Functionsnoyes infoU2 Basic
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingyes, utilizing Spark Corenone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorMulti-source replicationnoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoUsing Cloud Dataflowno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infoRelationships in graphsnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDyesnoACID infoconfigurable
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.yesno
User concepts infoAccess controlno infoCan implement custom security layer via applicationsRole-based access controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.noAccess rights according to SQL-standard and operating system based

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More resources
FatDBGalaxybaseGoogle Cloud FirestoreSpark SQLUniData,UniVerse
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