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

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

Editorial information provided by DB-Engines
NameKinetica  Xexclude from comparisonSadas Engine  Xexclude from comparisonSphinx  Xexclude from comparisonTarantool  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 databasesIn-memory computing platform with a flexible data schema for efficiently building high-performance applicationsFast distributed SQL query engine for big data analytics. Forked from Presto and originally named PrestoSQL
Primary database modelRelational DBMSRelational DBMSSearch engineDocument store
Key-value store
Relational DBMS
Relational DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
Spatial DBMS infowith Tarantool/GIS extensionDocument 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
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score0.07
Rank#373  Overall
#157  Relational DBMS
Score5.95
Rank#55  Overall
#5  Search engines
Score1.67
Rank#143  Overall
#25  Document stores
#25  Key-value stores
#65  Relational DBMS
Score4.99
Rank#65  Overall
#36  Relational DBMS
Websitewww.kinetica.comwww.sadasengine.comsphinxsearch.comwww.tarantool.iotrino.io
Technical documentationdocs.kinetica.comwww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentationsphinxsearch.com/­docswww.tarantool.io/­en/­doctrino.io/­broadcast
trino.io/­docs/­current
Social network pagesLinkedInTwitterYouTubeGitHub
DeveloperKineticaSADAS s.r.l.Sphinx Technologies Inc.VKTrino Software Foundation
Initial release20122006200120082012 info2020 rebranded from PrestoSQL
Current release7.1, August 20218.03.5.1, February 20232.10.0, May 2022
License infoCommercial or Open Sourcecommercialcommercial infofree trial version availableOpen Source infoGPL version 2, commercial licence availableOpen Source infoBSD-2, source-available extensions (modules), commercial licenses for Tarantool EnterpriseOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
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 languageC, C++C++C++C and C++Java
Server operating systemsLinuxAIX
Linux
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
BSD
Linux
macOS
Linux
macOS infofor devlopment
Data schemeyesyesyesFlexible data schema: relational definition for tables with ability to store json-like documents in columnsyes
Typing infopredefined data types such as float or dateyesyesnostring, double, decimal, uuid, integer, blob, boolean, datetimeyes
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 indexesyesyesyes infofull-text index on all search fieldsyesdepending on connected data-source
SQL infoSupport of SQLSQL-like DML and DDL statementsyesSQL-like query language (SphinxQL)Full-featured ANSI SQL supportyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JDBC
ODBC
Proprietary protocol
Proprietary protocolOpen binary 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
C
C#
C++
Erlang
Go
Java
JavaScript
Lua
Perl
PHP
Python
Rust
Go
Java
JavaScript (Node.js)
Python
R
Ruby
Server-side scripts infoStored proceduresuser defined functionsnonoLua, C and SQL stored proceduresyes, depending on connected data-source
Triggersyes infotriggers when inserted values for one or more columns fall within a specified rangenonoyes, before/after data modification events, on replication events, client session eventsno
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioningSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding, partitioned with virtual buckets by user defined affinity key. Live resharding for scale up and scale down without maintenance downtime.depending on connected data-source
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnonenoneAsynchronous replication with multi-master option
Configurable replication topology (full-mesh, chain, star)
Synchronous quorum replication (with Raft)
depending 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 ConsistencyCasual consistency across sharding partitions
Eventual consistency within replicaset partition infowhen using asyncronous replication
Immediate Consistency within single instance
Sequential consistency including linearizable read within replicaset partition infowhen using Raft
depending on connected data-source
Foreign keys infoReferential integrityyesyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID, with serializable isolation and linearizable read (within partition); Configurable MVCC (within partition); No cross-shard distributed transactionsdepending on connected data-source
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, cooperative multitaskingyes
Durability infoSupport for making data persistentyesyesyes infoThe original contents of fields are not stored in the Sphinx index.yes, write ahead loggingdepending 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'yes, full featured in-memory storage engine with persistence
User concepts infoAccess controlAccess rights for users and roles on table levelAccess rights for users, groups and roles according to SQL-standardnoAccess Control Lists
Mutual TLS authentication for Tarantol Enterprise
Password based authentication
Role-based access control (RBAC) and LDAP for Tarantol Enterprise
Users and Roles
SQL standard access control
More information provided by the system vendor
KineticaSadas EngineSphinxTarantoolTrino
Specific characteristicsTrino is the fastest open source, massively parallel processing SQL query engine...
» more
Competitive advantagesHigh 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 modelsTrino is an open source project and usage is therefore free. Commercial offerings...
» more
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