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DBMS > Citus vs. GeoSpock vs. IRONdb vs. ScyllaDB

System Properties Comparison Citus vs. GeoSpock vs. IRONdb vs. ScyllaDB

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Editorial information provided by DB-Engines
NameCitus  Xexclude from comparisonGeoSpock  Xexclude from comparisonIRONdb  Xexclude from comparisonScyllaDB  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLSpatial and temporal data processing engine for extreme data scaleA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityCassandra and DynamoDB compatible wide column store
Primary database modelRelational DBMSRelational DBMSTime Series DBMSWide column store
Secondary database modelsDocument storeTime Series DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.21
Rank#118  Overall
#56  Relational DBMS
Score4.75
Rank#68  Overall
#5  Wide column stores
Websitewww.citusdata.comgeospock.comwww.circonus.com/solutions/time-series-database/www.scylladb.com
Technical documentationdocs.citusdata.comdocs.circonus.com/irondb/category/getting-starteddocs.scylladb.com
DeveloperGeoSpockCirconus LLC.ScyllaDB
Initial release201020172015
Current release8.1, December 20182.0, September 2019V0.10.20, January 2018ScyllaDB Open Source 5.4.1, January 2024
License infoCommercial or Open SourceOpen Source infoAGPL, commercial license also availablecommercialcommercialOpen Source infoOpen Source (AGPL), commercial license available
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Scylla Cloud: Create real-time applications that run at global scale with Scylla Cloud, the industry’s most powerful NoSQL DBaaS
Implementation languageCJava, JavascriptC and C++C++
Server operating systemsLinuxhostedLinuxLinux
Data schemeyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyes infotext, numeric, histogramsyes
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 indexesyestemporal, categoricalnoyes infocluster global secondary indices
SQL infoSupport of SQLyes infostandard, with numerous extensionsANSI SQL for query only (using Presto)SQL-like query language (Circonus Analytics Query Language: CAQL)SQL-like DML and DDL statements (CQL)
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBCHTTP APIProprietary protocol (CQL) infocompatible with CQL (Cassandra Query Language, an SQL-like language)
RESTful HTTP API (DynamoDB compatible)
Thrift
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
For 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
Server-side scripts infoStored proceduresuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.noyes, in Luayes, Lua
Triggersyesnonono
Partitioning methods infoMethods for storing different data on different nodesShardingAutomatic shardingAutomatic, metric affinity per nodeSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication infoother methods possible by using 3rd party extensionsconfigurable replication factor, datacenter awareselectable 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 ConsistencyImmediate ConsistencyImmediate consistency per node, eventual consistency across nodesEventual Consistency
Tunable Consistency infocan be individually decided for each write operation
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonono infoAtomicity and isolation are supported for single operations
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nononoyes infoin-memory tables
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users can be defined per tablenoAccess rights for users can be defined per object
More information provided by the system vendor
CitusGeoSpockIRONdbScyllaDB
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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CitusGeoSpockIRONdbScyllaDB
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