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DBMS > Citus vs. Quasardb vs. Realm vs. Sadas Engine

System Properties Comparison Citus vs. Quasardb vs. Realm vs. Sadas Engine

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Editorial information provided by DB-Engines
NameCitus  Xexclude from comparisonQuasardb  Xexclude from comparisonRealm  Xexclude from comparisonSadas Engine  Xexclude from comparison
DescriptionScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLDistributed, high-performance timeseries databaseA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environments
Primary database modelRelational DBMSTime Series DBMSDocument storeRelational 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
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Score7.60
Rank#52  Overall
#9  Document stores
Score0.00
Rank#383  Overall
#158  Relational DBMS
Websitewww.citusdata.comquasar.airealm.iowww.sadasengine.com
Technical documentationdocs.citusdata.comdoc.quasar.ai/­masterrealm.io/­docswww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentation
DeveloperquasardbRealm, acquired by MongoDB in May 2019SADAS s.r.l.
Initial release2010200920142006
Current release8.1, December 20183.14.1, January 20248.0
License infoCommercial or Open SourceOpen Source infoAGPL, commercial license also availablecommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Sourcecommercial infofree trial version available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC++C++
Server operating systemsLinuxBSD
Linux
OS X
Windows
Android
Backend: server-less
iOS
Windows
AIX
Linux
Windows
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyes infointeger and binaryyesyes
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 functionalitynonono
Secondary indexesyesyes infowith tagsyesyes
SQL infoSupport of SQLyes infostandard, with numerous extensionsSQL-like query languagenoyes
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
HTTP APIJDBC
ODBC
Proprietary protocol
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
.Net
Java infowith Android only
Objective-C
React Native
Swift
.Net
C
C#
C++
Groovy
Java
PHP
Python
Server-side scripts infoStored proceduresuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.nono inforuns within the applications so server-side scripts are unnecessaryno
Triggersyesnoyes infoChange Listenersno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoconsistent hashingnonehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication infoother methods possible by using 3rd party extensionsSource-replica replication with selectable replication factornonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnowith Hadoop integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infoby using LevelDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoTransient modeyes infoIn-Memory realmyes infomanaged by 'Learn by Usage'
User concepts infoAccess controlfine grained access rights according to SQL-standardCryptographically strong user authentication and audit trailyesAccess rights for users, groups and roles according to SQL-standard

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