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DBMS > etcd vs. Hazelcast vs. Memcached vs. Microsoft SQL Server

System Properties Comparison etcd vs. Hazelcast vs. Memcached vs. Microsoft SQL Server

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Editorial information provided by DB-Engines
Nameetcd  Xexclude from comparisonHazelcast  Xexclude from comparisonMemcached  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparison
DescriptionA distributed reliable key-value storeA widely adopted in-memory data gridIn-memory key-value store, originally intended for cachingMicrosofts flagship relational DBMS
Primary database modelKey-value storeKey-value storeKey-value storeRelational DBMS
Secondary database modelsDocument store infoJSON support with IMDG 3.12Document 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
Score5.46
Rank#61  Overall
#7  Key-value stores
Score18.08
Rank#32  Overall
#4  Key-value stores
Score821.56
Rank#3  Overall
#3  Relational DBMS
Websiteetcd.io
github.com/­etcd-io/­etcd
hazelcast.comwww.memcached.orgwww.microsoft.com/­en-us/­sql-server
Technical documentationetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
hazelcast.org/­imdg/­docsgithub.com/­memcached/­memcached/­wikilearn.microsoft.com/­en-US/­sql/­sql-server
DeveloperHazelcastDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournalMicrosoft
Initial release200820031989
Current release3.4, August 20195.3.6, November 20231.6.27, May 2024SQL Server 2022, November 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2; commercial licenses availableOpen Source infoBSD licensecommercial inforestricted free version is available
Cloud-based only infoOnly available as a cloud servicenononono
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 languageGoJavaCC++
Server operating systemsFreeBSD
Linux
Windows infoexperimental
All OS with a Java VMFreeBSD
Linux
OS X
Unix
Windows
Linux
Windows
Data schemeschema-freeschema-freeschema-freeyes
Typing infopredefined data types such as float or datenoyesnoyes
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.noyes infothe object must implement a serialization strategyyes
Secondary indexesnoyesnoyes
SQL infoSupport of SQLnoSQL-like query languagenoyes
APIs and other access methodsgRPC
JSON over HTTP
JCache
JPA
Memcached protocol
RESTful HTTP API
Proprietary protocolADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
Supported programming languages.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
Server-side scripts infoStored proceduresnoyes infoEvent Listeners, Executor ServicesnoTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Java
Triggersyes, watching key changesyes infoEventsnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingnonetables can be distributed across several files (horizontal partitioning); sharding through federation
Replication methods infoMethods for redundantly storing data on multiple nodesUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.yes infoReplicated Mapnone infoRepcached, a Memcached patch, provides this functionallityyes, but depending on the SQL-Server Edition
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoone or two-phase-commit; repeatable reads; read commitednoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesnoyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlnoRole-based access controlyes infousing SASL (Simple Authentication and Security Layer) protocolfine grained access rights according to SQL-standard

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More resources
etcdHazelcastMemcachedMicrosoft SQL Server
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