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DBMS > Cachelot.io vs. Coveo vs. HEAVY.AI vs. Transwarp ArgoDB

System Properties Comparison Cachelot.io vs. Coveo vs. HEAVY.AI vs. Transwarp ArgoDB

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Editorial information provided by DB-Engines
NameCachelot.io  Xexclude from comparisonCoveo  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonTranswarp ArgoDB  Xexclude from comparison
DescriptionIn-memory caching systemAI-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 Analytical Database to replace Hadoop+MPP hybrid architecture
Primary database modelKey-value storeSearch engineRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMSSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.04
Rank#388  Overall
#62  Key-value stores
Score2.11
Rank#118  Overall
#11  Search engines
Score1.64
Rank#145  Overall
#67  Relational DBMS
Score0.12
Rank#348  Overall
#151  Relational DBMS
Websitecachelot.iowww.coveo.comgithub.com/­heavyai/­heavydb
www.heavy.ai
www.transwarp.cn/­en/­product/­argodb
Technical documentationdocs.coveo.comdocs.heavy.aidocs.transwarp.cn/­#/­documents-support/­docs?category=ARGODB
DeveloperCoveoHEAVY.AI, Inc.Transwarp
Initial release201520122016
Current release5.10, January 2022
License infoCommercial or Open SourceOpen Source infoSimplified BSD LicensecommercialOpen Source infoApache Version 2; enterprise edition availablecommercial
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++ and CUDA
Server operating systemsFreeBSD
Linux
OS X
hostedLinux
Data schemeschema-freehybrid - fields need to be configured prior to indexing, but relationships can be exploited at query time without pre-configurationyesyes
Typing infopredefined data types such as float or datenoyesyesyes
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 indexesnoyesnoyes
SQL infoSupport of SQLnonoyesyes
APIs and other access methodsMemcached protocolRESTful HTTP APIJDBC
ODBC
Thrift
Vega
Supported programming languages.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
OCaml
Perl
PHP
Python
Ruby
C#
Java
JavaScript
Python
All languages supporting JDBC/ODBC/Thrift
Python
Server-side scripts infoStored proceduresnonono
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesnoneyesSharding infoRound robin
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentnoyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlnogranular access controls, API key management, content filtersfine grained access rights according to SQL-standard

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More resources
Cachelot.ioCoveoHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022Transwarp ArgoDB
Recent citations in the news

Coveo Solutions Inc. (TSE:CVO) Given Average Rating of “Buy” by Analysts
10 June 2024, Defense World

Is It Time To Consider Buying Coveo Solutions Inc. (TSE:CVO)?
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13 July 2023, Spiceworks News and Insights

HEAVY.AI Launches HEAVY 7.0, Introducing Real-Time Machine Learning Capabilities
19 April 2023, businesswire.com

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16 February 2023, Datanami

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