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DBMS > etcd vs. Microsoft SQL Server vs. Oracle Berkeley DB vs. Snowflake vs. SwayDB

System Properties Comparison etcd vs. Microsoft SQL Server vs. Oracle Berkeley DB vs. Snowflake vs. SwayDB

Editorial information provided by DB-Engines
Nameetcd  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonSnowflake  Xexclude from comparisonSwayDB  Xexclude from comparison
DescriptionA distributed reliable key-value storeMicrosofts flagship relational DBMSWidely used in-process key-value storeCloud-based data warehousing service for structured and semi-structured dataAn embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storage
Primary database modelKey-value storeRelational DBMSKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Relational DBMSKey-value store
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
Score821.56
Rank#3  Overall
#3  Relational DBMS
Score2.01
Rank#126  Overall
#21  Key-value stores
#3  Native XML DBMS
Score130.36
Rank#8  Overall
#5  Relational DBMS
Score0.04
Rank#387  Overall
#61  Key-value stores
Websiteetcd.io
github.com/­etcd-io/­etcd
www.microsoft.com/­en-us/­sql-serverwww.oracle.com/­database/­technologies/­related/­berkeleydb.htmlwww.snowflake.comswaydb.simer.au
Technical documentationetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
learn.microsoft.com/­en-US/­sql/­sql-serverdocs.oracle.com/­cd/­E17076_05/­html/­index.htmldocs.snowflake.net/­manuals/­index.html
DeveloperMicrosoftOracle infooriginally developed by Sleepycat, which was acquired by OracleSnowflake Computing Inc.Simer Plaha
Initial release1989199420142018
Current release3.4, August 2019SQL Server 2022, November 202218.1.40, May 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial inforestricted free version is availableOpen Source infocommercial license availablecommercialOpen Source infoGNU Affero GPL V3.0
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoC++C, Java, C++ (depending on the Berkeley DB edition)Scala
Server operating systemsFreeBSD
Linux
Windows infoexperimental
Linux
Windows
AIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
hosted
Data schemeschema-freeyesschema-freeyes infosupport of semi-structured data formats (JSON, XML, Avro)schema-free
Typing infopredefined data types such as float or datenoyesnoyesno
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.noyesyes infoonly with the Berkeley DB XML editionyesno
Secondary indexesnoyesyesno
SQL infoSupport of SQLnoyesyes infoSQL interfaced based on SQLite is availableyesno
APIs and other access methodsgRPC
JSON over HTTP
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
CLI Client
JDBC
ODBC
Supported programming languages.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
.Net infoFigaro is a .Net framework assembly that extends Berkeley DB XML into an embeddable database engine for .NET
others infoThird-party libraries to manipulate Berkeley DB files are available for many languages
C
C#
C++
Java
JavaScript (Node.js) info3rd party binding
Perl
Python
Tcl
JavaScript (Node.js)
Python
Java
Kotlin
Scala
Server-side scripts infoStored proceduresnoTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Javanouser defined functionsno
Triggersyes, watching key changesyesyes infoonly for the SQL APIno infosimilar concept for controling cloud resourcesno
Partitioning methods infoMethods for storing different data on different nodestables can be distributed across several files (horizontal partitioning); sharding through federationnoneyesnone
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 replicationyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACIDAtomic execution of operations
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.noyesyesnoyes
User concepts infoAccess controlnofine grained access rights according to SQL-standardnoUsers with fine-grained authorization concept, user roles and pluggable authenticationno

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More resources
etcdMicrosoft SQL ServerOracle Berkeley DBSnowflakeSwayDB
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