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DBMS > etcd vs. Microsoft SQL Server vs. Riak KV vs. YottaDB

System Properties Comparison etcd vs. Microsoft SQL Server vs. Riak KV vs. YottaDB

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Editorial information provided by DB-Engines
Nameetcd  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonRiak KV  Xexclude from comparisonYottaDB  Xexclude from comparison
DescriptionA distributed reliable key-value storeMicrosofts flagship relational DBMSDistributed, fault tolerant key-value storeA fast and solid embedded Key-value store
Primary database modelKey-value storeRelational DBMSKey-value store infowith links between data sets and object tags for the creation of secondary indexesKey-value store
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Relational DBMS infousing the Octo plugin
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.05
Rank#53  Overall
#5  Key-value stores
Score807.76
Rank#3  Overall
#3  Relational DBMS
Score3.84
Rank#76  Overall
#9  Key-value stores
Score0.21
Rank#309  Overall
#43  Key-value stores
Websiteetcd.io
github.com/­etcd-io/­etcd
www.microsoft.com/­en-us/­sql-serveryottadb.com
Technical documentationetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
learn.microsoft.com/­en-US/­sql/­sql-serverwww.tiot.jp/­riak-docs/­riak/­kv/­latestyottadb.com/­resources/­documentation
DeveloperMicrosoftOpenSource, formerly Basho TechnologiesYottaDB, LLC
Initial release198920092001
Current release3.4, August 2019SQL Server 2022, November 20223.2.0, December 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial inforestricted free version is availableOpen Source infoApache version 2, commercial enterprise editionOpen Source infoAGPL 3.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoC++ErlangC
Server operating systemsFreeBSD
Linux
Windows infoexperimental
Linux
Windows
Linux
OS X
Docker
Linux
Data schemeschema-freeyesschema-freeschema-free
Typing infopredefined data types such as float or datenoyesnono
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.noyesnono
Secondary indexesnoyesrestrictedno
SQL infoSupport of SQLnoyesnoby using the Octo plugin
APIs and other access methodsgRPC
JSON over HTTP
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
HTTP API
Native Erlang Interface
PostgreSQL wire protocol infousing the Octo plugin
Proprietary protocol
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
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
C
Go
JavaScript (Node.js)
Lua
M
Perl
Python
Rust
Server-side scripts infoStored proceduresnoTransact SQL, .NET languages, R, Python and (with SQL Server 2019) JavaErlang
Triggersyes, watching key changesyesyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodestables can be distributed across several files (horizontal partitioning); sharding through federationSharding infono "single point of failure"
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 Editionselectable replication factoryes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesno infolinks between data sets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnooptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.noyesyes
User concepts infoAccess controlnofine grained access rights according to SQL-standardyes, using Riak SecurityUsers and groups based on OS-security mechanisms

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More resources
etcdMicrosoft SQL ServerRiak KVYottaDB
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