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DBMS > BigchainDB vs. Coveo vs. HEAVY.AI vs. Yanza

System Properties Comparison BigchainDB vs. Coveo vs. HEAVY.AI vs. Yanza

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Editorial information provided by DB-Engines
NameBigchainDB  Xexclude from comparisonCoveo  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonYanza  Xexclude from comparison
Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsAI-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 hardwareTime Series DBMS for IoT Applications
Primary database modelDocument storeSearch engineRelational DBMSTime Series DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.85
Rank#208  Overall
#35  Document stores
Score2.11
Rank#118  Overall
#11  Search engines
Score1.64
Rank#145  Overall
#67  Relational DBMS
Websitewww.bigchaindb.comwww.coveo.comgithub.com/­heavyai/­heavydb
www.heavy.ai
yanza.com
Technical documentationbigchaindb.readthedocs.io/­en/­latestdocs.coveo.comdocs.heavy.ai
DeveloperCoveoHEAVY.AI, Inc.Yanza
Initial release2016201220162015
Current release5.10, January 2022
License infoCommercial or Open SourceOpen Source infoAGPL v3commercialOpen Source infoApache Version 2; enterprise edition availablecommercial infofree version available
Cloud-based only infoOnly available as a cloud servicenoyesnono infobut mainly used as a service provided by Yanza
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languagePythonC++ and CUDA
Server operating systemsLinuxhostedLinuxWindows
Data schemeschema-freehybrid - fields need to be configured prior to indexing, but relationships can be exploited at query time without pre-configurationyesschema-free
Typing infopredefined data types such as float or datenoyesyesno
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 indexesyesnono
SQL infoSupport of SQLnonoyesno
APIs and other access methodsCLI Client
RESTful HTTP API
RESTful HTTP APIJDBC
ODBC
Thrift
Vega
HTTP API
Supported programming languagesGo
Haskell
Java
JavaScript
Python
Ruby
C#
Java
JavaScript
Python
All languages supporting JDBC/ODBC/Thrift
Python
any language that supports HTTP calls
Server-side scripts infoStored proceduresnonono
Triggersyesnoyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesShardingyesSharding infoRound robinnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryesMulti-source replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes,with MongoDB ord RethinkDByesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlyesgranular access controls, API key management, content filtersfine grained access rights according to SQL-standardno

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More resources
BigchainDBCoveoHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022Yanza
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