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DBMS > atoti vs. Coveo vs. HEAVY.AI vs. Transwarp ArgoDB

System Properties Comparison atoti vs. Coveo vs. HEAVY.AI vs. Transwarp ArgoDB

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Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonCoveo  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonTranswarp ArgoDB  Xexclude from comparison
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.AI-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 modelObject oriented DBMSSearch engineRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMSSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.61
Rank#243  Overall
#10  Object oriented DBMS
Score2.11
Rank#118  Overall
#11  Search engines
Score1.64
Rank#145  Overall
#67  Relational DBMS
Score0.12
Rank#348  Overall
#151  Relational DBMS
Websiteatoti.iowww.coveo.comgithub.com/­heavyai/­heavydb
www.heavy.ai
www.transwarp.cn/­en/­product/­argodb
Technical documentationdocs.atoti.iodocs.coveo.comdocs.heavy.aidocs.transwarp.cn/­#/­documents-support/­docs?category=ARGODB
DeveloperActiveViamCoveoHEAVY.AI, Inc.Transwarp
Initial release20122016
Current release5.10, January 2022
License infoCommercial or Open Sourcecommercial infofree versions availablecommercialOpen 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 languageJavaC++ and CUDA
Server operating systemshostedLinux
Data schemehybrid - 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 dateyesyesyes
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.nono
Secondary indexesyesnoyes
SQL infoSupport of SQLMultidimensional Expressions (MDX)noyesyes
APIs and other access methodsRESTful HTTP APIJDBC
ODBC
Thrift
Vega
Supported programming languagesC#
Java
JavaScript
Python
All languages supporting JDBC/ODBC/Thrift
Python
Server-side scripts infoStored proceduresPythonnono
Triggersyesno
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningyesSharding infoRound robin
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesno
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlgranular access controls, API key management, content filtersfine grained access rights according to SQL-standard

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More resources
atotiCoveoHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022Transwarp ArgoDB
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