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DBMS > Coveo vs. HEAVY.AI vs. KairosDB vs. Riak KV

System Properties Comparison Coveo vs. HEAVY.AI vs. KairosDB vs. Riak KV

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Editorial information provided by DB-Engines
NameCoveo  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonKairosDB  Xexclude from comparisonRiak KV  Xexclude from comparison
DescriptionAI-powered hosted search, recommendation and personalization platform providing tools for both low-code and full-code developmentA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareDistributed Time Series DBMS based on Cassandra or H2Distributed, fault tolerant key-value store
Primary database modelSearch engineRelational DBMSTime Series DBMSKey-value store infowith links between data sets and object tags for the creation of secondary indexes
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.19
Rank#124  Overall
#12  Search engines
Score1.73
Rank#136  Overall
#68  Relational DBMS
Score0.66
Rank#220  Overall
#17  Time Series DBMS
Score6.25
Rank#69  Overall
#10  Key-value stores
Websitewww.coveo.comgithub.com/­heavyai/­heavydb
www.heavy.ai
github.com/­kairosdb/­kairosdbriak.com/­products/­riak-kv
Technical documentationdocs.coveo.comdocs.heavy.aikairosdb.github.io
DeveloperCoveoHEAVY.AI, Inc.Basho Technologies
Initial release2012201620132009
Current release5.10, January 20221.2.2, November 20182.1.0, April 2015
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; enterprise edition availableOpen Source infoApache 2.0Open Source infoApache version 2, commercial enterprise edition
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++ and CUDAJavaErlang
Server operating systemshostedLinuxLinux
OS X
Windows
Linux
OS X
Data schemehybrid - fields need to be configured prior to indexing, but relationships can be exploited at query time without pre-configurationyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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 indexesyesnonorestricted
SQL infoSupport of SQLnoyesnono
APIs and other access methodsRESTful HTTP APIJDBC
ODBC
Thrift
Vega
Graphite protocol
HTTP REST
Telnet API
HTTP API
Native Erlang Interface
Supported programming languagesC#
Java
JavaScript
Python
All languages supporting JDBC/ODBC/Thrift
Python
Java
JavaScript infoNode.js
PHP
Python
C 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
Server-side scripts infoStored proceduresnononoJavaScript and Erlang
Triggersyesnonoyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesyesSharding infoRound robinSharding infobased on CassandraSharding infono "single point of failure"
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replicationselectable replication factor infobased on Cassandraselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Eventual Consistency
Foreign keys infoReferential integrityyesnonono infolinks between data sets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnonono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlgranular access controls, API key management, content filtersfine grained access rights according to SQL-standardsimple password-based access controlno
More information provided by the system vendor
CoveoHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022KairosDBRiak KV
Specific characteristicsOptimizes memory and compute layers to deliver unprecedented performance. Natively...
» more
Competitive advantagesOnly HEAVY.AI allows users to visually and interactively discover high-value patterns,...
» more
Typical application scenariosAdvanced analytics, geospatial and time-series analytics, accelerated data science,...
» more
Licensing and pricing modelsHEAVY.AI Free (Free Forever), Foundations ($2k/month), and Enterprise Licensure (Inquire...
» more

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More resources
CoveoHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022KairosDBRiak KV
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