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DBMS > Citus vs. Kinetica vs. Sadas Engine vs. SiriDB

System Properties Comparison Citus vs. Kinetica vs. Sadas Engine vs. SiriDB

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Editorial information provided by DB-Engines
NameCitus  Xexclude from comparisonKinetica  Xexclude from comparisonSadas Engine  Xexclude from comparisonSiriDB  Xexclude from comparison
DescriptionScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLFully vectorized database across both GPUs and CPUsSADAS Engine is a columnar DBMS specifically designed for high performance in Data warehouse environmentsOpen Source Time Series DBMS
Primary database modelRelational DBMSRelational DBMSRelational DBMSTime Series DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.48
Rank#141  Overall
#69  Relational DBMS
Score0.73
Rank#205  Overall
#101  Relational DBMS
Score0.00
Rank#352  Overall
#146  Relational DBMS
Score0.04
Rank#332  Overall
#30  Time Series DBMS
Websitewww.citusdata.comwww.kinetica.comwww.sadasengine.comsiridb.net
Technical documentationdocs.citusdata.comwww.kinetica.com/­docswww.sadasengine.com/­index.php/­downloads/­documentation-columnar-dbdocs.siridb.net
DeveloperKineticaSADAS s.r.l.Transceptor Technology
Initial release2010201220062017
Current release8.1, December 20187.1, August 20218.0
License infoCommercial or Open SourceOpen Source infoAGPL, commercial license also availablecommercialcommercial infofree trial version availableOpen Source infoMIT License
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++C++C
Server operating systemsLinuxLinuxAIX
Linux
Windows
Linux
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes 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 functionalitynonono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyes infostandard, with numerous extensionsSQL-like DML and DDL statementsyesno
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
ODBC
RESTful HTTP API
JDBC
ODBC
Proprietary protocol
HTTP API
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C++
Java
JavaScript (Node.js)
Python
.Net
C
C#
C++
Groovy
Java
PHP
Python
C
C++
Go
Python
Server-side scripts infoStored proceduresuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.user defined functionsnono
Triggersyesyes infotriggers when inserted values for one or more columns fall within a specified rangenono
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication infoother methods possible by using 3rd party extensionsSource-replica replicationnoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integrityyesyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnono
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.noyes infoGPU vRAM or System RAMyes infomanaged by 'Learn by Usage'yes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users and roles on table levelAccess rights for users, groups and roles according to SQL-standardsimple rights management via user accounts
More information provided by the system vendor
CitusKineticaSadas EngineSiriDB
Specific characteristicsNative and fully vectorized database across both GPUs and CPUs, with memory first...
» more
Competitive advantagesBest in class geospatial and temporal analytics. Lockless architecture provides real-time...
» more
Typical application scenariosAny application requiring (1) real time insights, (2) time series analysis (3) geospatial...
» more
Key customersCitibank, US Air Force, Softbank, OVO, Telkomsel, USPS, 2 of the top 3 US Telcos,...
» more
Market metricsThe largest IoT deployment in the world, NORAD, runs on Kinetica.
» more
Licensing and pricing modelsAlways Free Tier in the Cloud, Pay-As-You-Go Consumption Based Pricing, and Portable...
» more

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More resources
CitusKineticaSadas EngineSiriDB
Recent citations in the news

How to Use Citus to Shard Postgres, for Performance & Scale - Microsoft
16 September 2021, Channel 9

Microsoft buys Citus Data
24 January 2019, ZDNet

Citus Data Announces Citus Cloud Database Support for HIPAA and SOC 2 Type 2 Compliance
13 November 2018, Business Wire

Microsoft Expands Azure PostgreSQL Moxy Through Citus Data Purchase
30 January 2019, Data Center Knowledge

New ways to get started with Azure Database for PostgreSQL | Azure Friday - Microsoft
2 July 2021, Channel 9

provided by Google News

Newswire & Press Release / Curtiss-Wright Adds Kinetica Software Support to the PacStar® 453 GPU Module for Intelligent Sensor Data Analytics - Electronics / Instrumentation / RFID - Curtiss-Wright Corporation | NewswireToday
22 September 2021, Newswire Today

Preventing the Next 9/11 Goal of NORAD's New Streaming Data Warehouse
30 August 2021, Datanami

United States GPU Database Market Size, Growth And Analysis By Leading Keyplayers – Kinetica, Omnisci, Sqream, Neo4j, Nvidia, Brytlyt, Jedox – Stillwater Current
20 September 2021, Stillwater Current

Kinetica Fuses Streaming and Contextual Analysis At Scale
14 September 2021, MarTech Series

Kinetica Fuses Streaming and Contextual Analysis
14 September 2021, insideHPC

provided by Google News

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