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DBMS > etcd vs. Firebase Realtime Database vs. Microsoft SQL Server vs. UniData,UniVerse

System Properties Comparison etcd vs. Firebase Realtime Database vs. Microsoft SQL Server vs. UniData,UniVerse

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Editorial information provided by DB-Engines
Nameetcd  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonUniData,UniVerse  Xexclude from comparison
DescriptionA distributed reliable key-value storeCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.Microsofts flagship relational DBMSMultiValue database and application server with SQL mapping layer and meta database capabilities
Primary database modelKey-value storeDocument storeRelational DBMSMultivalue DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.03
Rank#54  Overall
#5  Key-value stores
Score13.64
Rank#39  Overall
#6  Document stores
Score821.56
Rank#3  Overall
#3  Relational DBMS
Score2.85
Rank#98  Overall
#1  Multivalue DBMS
Websiteetcd.io
github.com/­etcd-io/­etcd
firebase.google.com/­products/­realtime-databasewww.microsoft.com/­en-us/­sql-serverwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-unidata
Technical documentationetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
firebase.google.com/­docs/­databaselearn.microsoft.com/­en-US/­sql/­sql-serverdocs.rocketsoftware.com/­bundle?cluster=true&labelkey=unidata&labelkey=prod_unidata
DeveloperGoogle infoacquired by Google 2014MicrosoftRocket Software
Initial release201219891985
Current release3.4, August 2019SQL Server 2022, November 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercial inforestricted free version is availablecommercial
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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SQLServer Flex @ STACKIT offers a managed version of SQL Server with adjustable CPU, RAM, storage amount and speed, in enterprise grade to perfectly match all application requirements. All services are 100% GDPR-compliant.
Implementation languageGoC++C
Server operating systemsFreeBSD
Linux
Windows infoexperimental
hostedLinux
Windows
AIX
HP-UX
Linux
Solaris
Windows
Data schemeschema-freeschema-freeyesschema-free
Typing infopredefined data types such as float or datenoyesyesoptional
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 indexesnoyesyesyes
SQL infoSupport of SQLnonoyesyes
APIs and other access methodsgRPC
JSON over HTTP
Android
iOS
JavaScript API
RESTful HTTP API
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
Java API infoJPA
JDBC
ODBC
OLE DB
Proprietary protocol
RESTful HTTP API
SOAP-based API
Supported programming languages.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
Java
JavaScript
Objective-C
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
.Net
Basic infoU2 Basic
C
Java
Server-side scripts infoStored proceduresnolimited functionality with using 'rules'Transact SQL, .NET languages, R, Python and (with SQL Server 2019) Javayes
Triggersyes, watching key changesCallbacks are triggered when data changesyesyes infoU2 Basic
Partitioning methods infoMethods for storing different data on different nodestables can be distributed across several files (horizontal partitioning); sharding through federationnone
Replication methods infoMethods for redundantly storing data on multiple nodesUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.yes, but depending on the SQL-Server EditionSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Immediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesACIDACID infoconfigurable
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.noyes
User concepts infoAccess controlnoyes, based on authentication and database rulesfine grained access rights according to SQL-standardAccess rights according to SQL-standard and operating system based

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More resources
etcdFirebase Realtime DatabaseMicrosoft SQL ServerUniData,UniVerse
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