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DBMS > DataFS vs. etcd vs. Microsoft Azure Synapse Analytics

System Properties Comparison DataFS vs. etcd vs. Microsoft Azure Synapse Analytics

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Editorial information provided by DB-Engines
NameDataFS  Xexclude from comparisonetcd  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparison
DescriptionAll data is stored inside objects which are linked by so-called link attributes. Objects consist of classes which can be extended and de-extended at runtime. Graphs can be defined with a struct.A distributed reliable key-value storeElastic, large scale data warehouse service leveraging the broad eco-system of SQL Server
Primary database modelObject oriented DBMSKey-value storeRelational DBMS
Secondary database modelsGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.09
Rank#360  Overall
#17  Object oriented DBMS
Score7.03
Rank#54  Overall
#5  Key-value stores
Score19.93
Rank#31  Overall
#19  Relational DBMS
Websitenewdatabase.cometcd.io
github.com/­etcd-io/­etcd
azure.microsoft.com/­services/­synapse-analytics
Technical documentationdev.mobiland.com/­Overview.xspetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
docs.microsoft.com/­azure/­synapse-analytics
DeveloperMobiland AGMicrosoft
Initial release20182016
Current release1.1.263, October 20223.4, August 2019
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC++
Server operating systemsWindowsFreeBSD
Linux
Windows infoexperimental
hosted
Data schemeClasses, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)schema-freeyes
Typing infopredefined data types such as float or dateyesnoyes
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.nonono
Secondary indexesnonoyes
SQL infoSupport of SQLnonoyes
APIs and other access methods.NET Client API
Proprietary client DLL
WinRT client
gRPC
JSON over HTTP
ADO.NET
JDBC
ODBC
Supported programming languages.Net
C
C#
C++
VB.Net
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
C#
Java
PHP
Server-side scripts infoStored proceduresnoTransact SQL
Triggersno, except callback-events from server when changes happenedyes, watching key changesno
Partitioning methods infoMethods for storing different data on different nodesProprietary Sharding systemSharding, horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraints
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlWindows-Profilenoyes

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More resources
DataFSetcdMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse
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