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DBMS > Kinetica vs. Sadas Engine vs. SiriDB

System Properties Comparison Kinetica vs. Sadas Engine vs. SiriDB

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Editorial information provided by DB-Engines
NameKinetica  Xexclude from comparisonSadas Engine  Xexclude from comparisonSiriDB  Xexclude from comparison
DescriptionFully 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 DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.73
Rank#204  Overall
#100  Relational DBMS
Score0.00
Rank#351  Overall
#146  Relational DBMS
Score0.00
Rank#353  Overall
#34  Time Series DBMS
Websitewww.kinetica.comwww.sadasengine.comsiridb.net
Technical documentationwww.kinetica.com/­docswww.sadasengine.com/­index.php/­downloads/­documentation-columnar-dbdocs.siridb.net
DeveloperKineticaSADAS s.r.l.Transceptor Technology
Initial release201220062017
Current release7.1, August 20218.0
License infoCommercial or Open Sourcecommercialcommercial infofree trial version availableOpen Source infoMIT License
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++C++C
Server operating systemsLinuxAIX
Linux
Windows
Linux
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesyes 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.nonono
Secondary indexesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyesno
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JDBC
ODBC
Proprietary protocol
HTTP API
Supported programming languagesC++
Java
JavaScript (Node.js)
Python
.Net
C
C#
C++
Groovy
Java
PHP
Python
C
C++
Go
Python
Server-side scripts infoStored proceduresuser defined functionsnono
Triggersyes infotriggers when inserted values for one or more columns fall within a specified rangenono
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integrityyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoGPU vRAM or System RAMyes infomanaged by 'Learn by Usage'yes
User concepts infoAccess controlAccess 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
KineticaSadas 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
KineticaSadas EngineSiriDB
Recent citations in the news

Kinetica Now Accessible as a Service on Microsoft Azure
14 October 2021, HPCwire

Incredible Growth of GPU Database Market by 2028 | Kinetica, Omnisci, Sqream
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United States GPU Database Market Size 2021-2028 : Growth And Analysis By Top Keyplayers | Kinetica, Omnisci, Sqream, Neo4j, Nvidia, Brytlyt – Otterbein 360
13 October 2021, Otterbein 360

Covid-19 Impact on GPU Database Market Size 2021 And Analysis By Top Manufacturers | Key market players, Major competitors identified in this market include Kinetica, Omnisci, Sqream, Neo4j, Nvidia – Otterbein 360
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The insideBIGDATA IMPACT 50 List for Q4 2021
12 October 2021, insideBIGDATA

provided by Google News



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