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DBMS > Citus vs. etcd vs. Microsoft Azure Table Storage vs. Sadas Engine vs. SiriDB

System Properties Comparison Citus vs. etcd vs. Microsoft Azure Table Storage vs. Sadas Engine vs. SiriDB

Editorial information provided by DB-Engines
NameCitus  Xexclude from comparisonetcd  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonSadas Engine  Xexclude from comparisonSiriDB  Xexclude from comparison
DescriptionScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLA distributed reliable key-value storeA Wide Column Store for rapid development using massive semi-structured datasetsSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environmentsOpen Source Time Series DBMS
Primary database modelRelational DBMSKey-value storeWide column storeRelational DBMSTime Series DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.21
Rank#118  Overall
#56  Relational DBMS
Score7.25
Rank#54  Overall
#5  Key-value stores
Score4.48
Rank#75  Overall
#6  Wide column stores
Score0.00
Rank#383  Overall
#158  Relational DBMS
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Websitewww.citusdata.cometcd.io
github.com/­etcd-io/­etcd
azure.microsoft.com/­en-us/­services/­storage/­tableswww.sadasengine.comsiridb.com
Technical documentationdocs.citusdata.cometcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
www.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentationdocs.siridb.com
DeveloperMicrosoftSADAS s.r.l.Cesbit
Initial release2010201220062017
Current release8.1, December 20183.4, August 20198.0
License infoCommercial or Open SourceOpen Source infoAGPL, commercial license also availableOpen Source infoApache Version 2.0commercialcommercial infofree trial version availableOpen Source infoMIT License
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCGoC++C
Server operating systemsLinuxFreeBSD
Linux
Windows infoexperimental
hostedAIX
Linux
Windows
Linux
Data schemeyesschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesnoyesyesyes infoNumeric data
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.yes infospecific XML type available, but no XML query functionalitynononono
Secondary indexesyesnonoyesyes
SQL infoSupport of SQLyes infostandard, with numerous extensionsnonoyesno
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
gRPC
JSON over HTTP
RESTful HTTP APIJDBC
ODBC
Proprietary protocol
HTTP API
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C
C#
C++
Groovy
Java
PHP
Python
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.nononono
Triggersyesyes, watching key changesnonono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoImplicit feature of the cloud servicehorizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication infoother methods possible by using 3rd party extensionsUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.yes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.noneyes
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 integrityyesnonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnooptimistic lockingno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.nononoyes infomanaged by 'Learn by Usage'yes
User concepts infoAccess controlfine grained access rights according to SQL-standardnoAccess rights based on private key authentication or shared access signaturesAccess rights for users, groups and roles according to SQL-standardsimple rights management via user accounts

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More resources
CitusetcdMicrosoft Azure Table StorageSadas EngineSiriDB
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