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DBMS > Citus vs. OrigoDB vs. ScyllaDB vs. SWC-DB

System Properties Comparison Citus vs. OrigoDB vs. ScyllaDB vs. SWC-DB

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Editorial information provided by DB-Engines
NameCitus  Xexclude from comparisonOrigoDB  Xexclude from comparisonScyllaDB  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  Xexclude from comparison
DescriptionScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLA fully ACID in-memory object graph databaseCassandra and DynamoDB compatible wide column storeA high performance, scalable Wide Column DBMS
Primary database modelRelational DBMSDocument store
Object oriented DBMS
Wide column storeWide column store
Secondary database modelsDocument storeKey-value storeTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.15
Rank#117  Overall
#56  Relational DBMS
Score0.06
Rank#380  Overall
#50  Document stores
#18  Object oriented DBMS
Score4.08
Rank#76  Overall
#5  Wide column stores
Score0.08
Rank#364  Overall
#13  Wide column stores
Websitewww.citusdata.comorigodb.comwww.scylladb.comgithub.com/­kashirin-alex/­swc-db
www.swcdb.org
Technical documentationdocs.citusdata.comorigodb.com/­docsdocs.scylladb.com
DeveloperRobert Friberg et alScyllaDBAlex Kashirin
Initial release20102009 infounder the name LiveDB20152020
Current release8.1, December 2018ScyllaDB Open Source 5.4.1, January 20240.5, April 2021
License infoCommercial or Open SourceOpen Source infoAGPL, commercial license also availableOpen SourceOpen Source infoOpen Source (AGPL), commercial license availableOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Scylla Cloud: Create real-time applications that run at global scale with Scylla Cloud, the industry’s most powerful NoSQL DBaaS
Implementation languageCC#C++C++
Server operating systemsLinuxLinux
Windows
LinuxLinux
Data schemeyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesUser defined using .NET types and collectionsyes
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 functionalityno infocan be achieved using .NETnono
Secondary indexesyesyesyes infocluster global secondary indices
SQL infoSupport of SQLyes infostandard, with numerous extensionsnoSQL-like DML and DDL statements (CQL)SQL-like query language
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
.NET Client API
HTTP API
LINQ
Proprietary protocol (CQL) infocompatible with CQL (Cassandra Query Language, an SQL-like language)
RESTful HTTP API (DynamoDB compatible)
Thrift
Proprietary protocol
Thrift
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.NetFor CQL interface: C#, C++, Clojure, Erlang, Go, Haskell, Java, JavaScript, Node.js, Perl, PHP, Python, Ruby, Rust, Scala
For DynamoDB interface: .Net, ColdFusion, Erlang, Groovy, Java, JavaScript, Perl, PHP, Python, Ruby
C++
Server-side scripts infoStored proceduresuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.yesyes, Luano
Triggersyesyes infoDomain Eventsnono
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning infoclient side managed; servers are not synchronizedShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication infoother methods possible by using 3rd party extensionsSource-replica replicationselectable replication factor infoRepresentation of geographical distribution of servers is possible
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Tunable Consistency infocan be individually decided for each write operation
Immediate Consistency
Foreign keys infoReferential integrityyesdepending on modelno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno infoAtomicity and isolation are supported for single operations
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infoWrite ahead logyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infoin-memory tablesno
User concepts infoAccess controlfine grained access rights according to SQL-standardRole based authorizationAccess rights for users can be defined per object
More information provided by the system vendor
CitusOrigoDBScyllaDBSWC-DB infoSuper Wide Column Database
Specific characteristicsScyllaDB is engineered to deliver predictable performance at scale. It’s adopted...
» more
Competitive advantagesHighly-performant (efficiently utilizes full resources of a node and network; millions...
» more
Typical application scenariosScyllaDB is ideal for applications that require high throughput and low latency at...
» more
Key customersDiscord, Epic Games, Expedia, Zillow, Comcast, Disney+ Hotstar, Samsung, ShareChat,...
» more
Market metricsScyllaDB typically offers ~75% total cost of ownership savings, with ~5X higher throughput...
» more
Licensing and pricing modelsScyllaDB Open Source - free open source software (AGPL) ScyllaDB Enterprise - subscription-based...
» more

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CitusOrigoDBScyllaDBSWC-DB infoSuper Wide Column Database
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