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DBMS > KairosDB vs. Kinetica vs. Speedb vs. Trino

System Properties Comparison KairosDB vs. Kinetica vs. Speedb vs. Trino

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Editorial information provided by DB-Engines
NameKairosDB  Xexclude from comparisonKinetica  Xexclude from comparisonSpeedb  Xexclude from comparisonTrino  Xexclude from comparison
DescriptionDistributed Time Series DBMS based on Cassandra or H2Fully vectorized database across both GPUs and CPUsAn embeddable, high performance key-value store optimized for write-intensive workloads, which can be used as a drop-in replacement for RocksDBFast distributed SQL query engine for big data analytics. Forked from Presto and originally named PrestoSQL
Primary database modelTime Series DBMSRelational DBMSKey-value storeRelational 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
Score0.62
Rank#239  Overall
#20  Time Series DBMS
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score0.21
Rank#315  Overall
#45  Key-value stores
Score5.00
Rank#66  Overall
#36  Relational DBMS
Websitegithub.com/­kairosdb/­kairosdbwww.kinetica.comwww.speedb.iotrino.io
Technical documentationkairosdb.github.iodocs.kinetica.comtrino.io/­broadcast
trino.io/­docs/­current
Social network pagesLinkedInTwitterYouTubeGitHub
DeveloperKineticaSpeedbTrino Software Foundation
Initial release2013201220202012 info2020 rebranded from PrestoSQL
Current release1.2.2, November 20187.1, August 2021
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoApache Version 2.0; commercial license 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.
Starburst Galaxy offers a feature-rich user interface to connect all your data sources, manage your Trino clusters, and query your data.
Implementation languageJavaC, C++C++Java
Server operating systemsLinux
OS X
Windows
LinuxLinux
Windows
Linux
macOS infofor devlopment
Data schemeschema-freeyesschema-freeyes
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.nononono
Secondary indexesnoyesnodepending on connected data-source
SQL infoSupport of SQLnoSQL-like DML and DDL statementsnoyes
APIs and other access methodsGraphite protocol
HTTP REST
Telnet API
JDBC
ODBC
RESTful HTTP API
JDBC
RESTful HTTP API
Trino CLI
Supported programming languagesJava
JavaScript infoNode.js
PHP
Python
C++
Java
JavaScript (Node.js)
Python
C
C++
Go
Java
Perl
Python
Ruby
Go
Java
JavaScript (Node.js)
Python
R
Ruby
Server-side scripts infoStored proceduresnouser defined functionsnoyes, depending on connected data-source
Triggersnoyes infotriggers when inserted values for one or more columns fall within a specified rangeno
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandraShardinghorizontal partitioningdepending on connected data-source
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on CassandraSource-replica replicationyesdepending on connected data-source
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency or Eventual Consistency depending on configurationdepending on connected data-source
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoyesdepending on connected data-source
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesdepending on connected data-source
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
User concepts infoAccess controlsimple password-based access controlAccess rights for users and roles on table levelnoSQL standard access control
More information provided by the system vendor
KairosDBKineticaSpeedbTrino
Specific characteristicsSpeedb is an embedded key-value storage engine for versatile use cases. It was designed...
» more
Trino is the fastest open source, massively parallel processing SQL query engine...
» more
Competitive advantagesSpeedb Open-source rebases on RocksDB's latest versions, with enhanced capabilities...
» more
High performance analtyics and data processing of very large data sets Powerful ANSI...
» more
Typical application scenariosPerformant analytics query engine for data warehouses, data lakes, and data lakehouses...
» more
Key customersTrino is widely adopted across the globe as freely-available open source software....
» more
Market metrics33000+ commits in GitHub 8200+ stargazers in GitHub 1200+ pull requests merged in...
» more
Licensing and pricing modelsOpen source - Speedb OSS is released under an Apache license and can be found on...
» more
Trino is an open source project and usage is therefore free. Commercial offerings...
» more
News

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11 April 2024

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
KairosDBKineticaSpeedbTrino
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