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DBMS > Coveo vs. InfinityDB vs. Riak KV vs. Trino

System Properties Comparison Coveo vs. InfinityDB vs. Riak KV vs. Trino

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Editorial information provided by DB-Engines
NameCoveo  Xexclude from comparisonInfinityDB  Xexclude from comparisonRiak KV  Xexclude from comparisonTrino  Xexclude from comparison
DescriptionAI-powered hosted search, recommendation and personalization platform providing tools for both low-code and full-code developmentA Java embedded Key-Value Store which extends the Java Map interfaceDistributed, fault tolerant key-value storeFast distributed SQL query engine for big data analytics. Forked from Presto and originally named PrestoSQL
Primary database modelSearch engineKey-value storeKey-value store infowith links between data sets and object tags for the creation of secondary indexesRelational DBMS
Secondary database modelsDocument 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
Score2.14
Rank#116  Overall
#11  Search engines
Score0.00
Rank#383  Overall
#59  Key-value stores
Score3.84
Rank#76  Overall
#9  Key-value stores
Score5.28
Rank#61  Overall
#35  Relational DBMS
Websitewww.coveo.comboilerbay.comtrino.io
Technical documentationdocs.coveo.comboilerbay.com/­infinitydb/­manualwww.tiot.jp/­riak-docs/­riak/­kv/­latesttrino.io/­broadcast
trino.io/­docs/­current
DeveloperCoveoBoiler Bay Inc.OpenSource, formerly Basho TechnologiesTrino Software Foundation
Initial release2012200220092012 info2020 rebranded from PrestoSQL
Current release4.03.2.0, December 2022
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache version 2, commercial enterprise editionOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaErlangJava
Server operating systemshostedAll OS with a Java VMLinux
OS X
Linux
macOS infofor devlopment
Data schemehybrid - fields need to be configured prior to indexing, but relationships can be exploited at query time without pre-configurationyes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgradeschema-freeyes
Typing infopredefined data types such as float or dateyesyes infoall Java primitives, Date, CLOB, BLOB, huge sparse arraysnoyes
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 indexesyesno infomanual creation possible, using inversions based on multi-value capabilityrestricteddepending on connected data-source
SQL infoSupport of SQLnononoyes
APIs and other access methodsRESTful HTTP APIAccess via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)
HTTP API
Native Erlang Interface
JDBC
RESTful HTTP API
Trino CLI
Supported programming languagesC#
Java
JavaScript
Python
JavaC infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
Go
Java
JavaScript (Node.js)
Python
R
Ruby
Server-side scripts infoStored proceduresnonoErlangyes, depending on connected data-source
Triggersyesnoyes infopre-commit hooks and post-commit hooksno
Partitioning methods infoMethods for storing different data on different nodesyesnoneSharding infono "single point of failure"depending on connected data-source
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneselectable replication factordepending on connected data-source
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency infoREAD-COMMITTED or SERIALIZEDEventual Consistencydepending on connected data-source
Foreign keys infoReferential integrityyesno infomanual creation possible, using inversions based on multi-value capabilityno infolinks between data sets can be storedno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACID infoOptimistic locking for transactions; no isolation for bulk loadsnodepending 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.no
User concepts infoAccess controlgranular access controls, API key management, content filtersnoyes, using Riak SecuritySQL standard access control
More information provided by the system vendor
CoveoInfinityDBRiak KVTrino
News

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CoveoInfinityDBRiak KVTrino
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