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DBMS > Faircom DB vs. Google Cloud Firestore vs. Hive vs. Microsoft SQL Server

System Properties Comparison Faircom DB vs. Google Cloud Firestore vs. Hive vs. Microsoft SQL Server

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Editorial information provided by DB-Engines
NameFaircom DB infoformerly c-treeACE  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonHive  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparison
DescriptionNative high-speed multi-model DBMS for relational and key-value store data simultaneously accessible through SQL and NoSQL APIs.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.data warehouse software for querying and managing large distributed datasets, built on HadoopMicrosofts flagship relational DBMS
Primary database modelKey-value store
Relational DBMS
Document storeRelational DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.31
Rank#298  Overall
#42  Key-value stores
#137  Relational DBMS
Score9.97
Rank#47  Overall
#8  Document stores
Score64.82
Rank#18  Overall
#12  Relational DBMS
Score845.81
Rank#3  Overall
#3  Relational DBMS
Websitewww.faircom.com/­products/­faircom-dbfirebase.google.com/­products/­firestorehive.apache.orgwww.microsoft.com/­en-us/­sql-server
Technical documentationdocs.faircom.com/­docs/­en/­UUID-7446ae34-a1a7-c843-c894-d5322e395184.htmlfirebase.google.com/­docs/­firestorecwiki.apache.org/­confluence/­display/­Hive/­Homelearn.microsoft.com/­en-US/­sql/­sql-server
DeveloperFairCom CorporationGoogleApache Software Foundation infoinitially developed by FacebookMicrosoft
Initial release1979201720121989
Current releaseV12, November 20203.1.3, April 2022SQL Server 2022, November 2022
License infoCommercial or Open Sourcecommercial infoRestricted, free version availablecommercialOpen Source infoApache Version 2commercial inforestricted free version is available
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageANSI C, C++JavaC++
Server operating systemsAIX
FreeBSD
HP-UX
Linux
NetBSD
OS X
QNX
SCO
Solaris
VxWorks
Windows infoeasily portable to other OSs
hostedAll OS with a Java VMLinux
Windows
Data schemeschema free, schema optional, schema required, partial schema,schema-freeyesyes
Typing infopredefined data types such as float or dateyes, ANSI SQL Types, JSON, typed binary structuresyesyesyes
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.nonoyes
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyes, ANSI SQL with proprietary extensionsnoSQL-like DML and DDL statementsyes
APIs and other access methodsADO.NET
Direct SQL
JDBC
JPA
ODBC
RESTful HTTP/JSON API
RESTful MQTT/JSON API
RPC
Android
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
JDBC
ODBC
Thrift
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
Supported programming languages.Net
C
C#
C++
Java
JavaScript (Node.js and browser)
PHP
Python
Visual Basic
Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
C++
Java
PHP
Python
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
Server-side scripts infoStored proceduresyes info.Net, JavaScript, C/C++yes, Firebase Rules & Cloud Functionsyes infouser defined functions and integration of map-reduceTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Java
Triggersyesyes, with Cloud Functionsnoyes
Partitioning methods infoMethods for storing different data on different nodesFile partitioning, horizontal partitioning, sharding infoCustomizable business rules for table partitioningShardingShardingtables can be distributed across several files (horizontal partitioning); sharding through federation
Replication methods infoMethods for redundantly storing data on multiple nodesyes, configurable to be parallel or serial, synchronous or asynchronous, uni-directional or bi-directional, ACID-consistent or eventually consistent (with custom conflict resolution).Multi-source replicationselectable replication factoryes, but depending on the SQL-Server Edition
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoUsing Cloud Dataflowyes infoquery execution via MapReduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Tunable consistency per server, database, table, and transaction
Immediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datatunable from ACID to Eventually ConsistentyesnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentYes, tunable from durable to delayed durability to in-memoryyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlFine grained access rights according to SQL-standard with additional protections for filesAccess 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 rolesfine grained access rights according to SQL-standard

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More resources
Faircom DB infoformerly c-treeACEGoogle Cloud FirestoreHiveMicrosoft SQL Server
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