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DBMS > Kinetica vs. Sadas Engine vs. Sphinx vs. Trino

System Properties Comparison Kinetica vs. Sadas Engine vs. Sphinx vs. Trino

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Editorial information provided by DB-Engines
NameKinetica  Xexclude from comparisonSadas Engine  Xexclude from comparisonSphinx  Xexclude from comparisonTrino  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 search engine for searching in data from different sources, e.g. relational databasesFast distributed SQL query engine for big data analytics. Forked from Presto and originally named PrestoSQL
Primary database modelRelational DBMSRelational DBMSSearch engineRelational DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
Document store
Key-value store
Spatial DBMS
Search engine
Time Series DBMS
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.42
Rank#261  Overall
#120  Relational DBMS
Score0.00
Rank#385  Overall
#159  Relational DBMS
Score5.97
Rank#56  Overall
#5  Search engines
Score5.28
Rank#61  Overall
#35  Relational DBMS
Websitewww.kinetica.comwww.sadasengine.comsphinxsearch.comtrino.io
Technical documentationdocs.kinetica.comwww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentationsphinxsearch.com/­docstrino.io/­broadcast
trino.io/­docs/­current
DeveloperKineticaSADAS s.r.l.Sphinx Technologies Inc.Trino Software Foundation
Initial release2012200620012012 info2020 rebranded from PrestoSQL
Current release7.1, August 20218.03.5.1, February 2023
License infoCommercial or Open Sourcecommercialcommercial infofree trial version availableOpen Source infoGPL version 2, commercial licence availableOpen Source infoApache Version 2.0
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 languageC, C++C++C++Java
Server operating systemsLinuxAIX
Linux
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
macOS infofor devlopment
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesnoyes
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 infofull-text index on all search fieldsdepending on connected data-source
SQL infoSupport of SQLSQL-like DML and DDL statementsyesSQL-like query language (SphinxQL)yes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JDBC
ODBC
Proprietary protocol
Proprietary protocolJDBC
RESTful HTTP API
Trino CLI
Supported programming languagesC++
Java
JavaScript (Node.js)
Python
.Net
C
C#
C++
Groovy
Java
PHP
Python
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Go
Java
JavaScript (Node.js)
Python
R
Ruby
Server-side scripts infoStored proceduresuser defined functionsnonoyes, depending on connected data-source
Triggersyes infotriggers when inserted values for one or more columns fall within a specified rangenonono
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioningSharding infoPartitioning is done manually, search queries against distributed index is supporteddepending on connected data-source
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnonenonedepending on connected data-source
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistencydepending on connected data-source
Foreign keys infoReferential integrityyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonodepending on connected data-source
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoThe original contents of fields are not stored in the Sphinx index.depending on connected data-source
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'
User concepts infoAccess controlAccess rights for users and roles on table levelAccess rights for users, groups and roles according to SQL-standardnoSQL standard access control
More information provided by the system vendor
KineticaSadas EngineSphinxTrino
News

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64: Control with Open Policy Agent OPA
22 August 2024

63: Querying with JS
1 August 2024

62: A lakehouse that simply works at Prezi
11 July 2024

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