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DBMS > Coveo vs. DolphinDB vs. Heroic vs. YTsaurus

System Properties Comparison Coveo vs. DolphinDB vs. Heroic vs. YTsaurus

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Editorial information provided by DB-Engines
NameCoveo  Xexclude from comparisonDolphinDB  Xexclude from comparisonHeroic  Xexclude from comparisonYTsaurus  Xexclude from comparison
DescriptionAI-powered hosted search, recommendation and personalization platform providing tools for both low-code and full-code developmentDolphinDB is a high performance Time Series DBMS. It is integrated with an easy-to-use fully featured programming language and a high-volume high-velocity streaming analytics system. It offers operational simplicity, scalability, fault tolerance, and concurrency.Time Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchYTsaurus is an open source platform for distributed storage and processing.
Primary database modelSearch engineTime Series DBMS
Vector DBMS
Time Series DBMSDocument store
Key-value store
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.14
Rank#116  Overall
#11  Search engines
Score2.72
Rank#100  Overall
#8  Time Series DBMS
#5  Vector DBMS
Score0.13
Rank#335  Overall
#29  Time Series DBMS
Score0.15
Rank#323  Overall
#44  Document stores
#47  Key-value stores
Websitewww.coveo.comwww.dolphindb.comgithub.com/­spotify/­heroicytsaurus.tech
Technical documentationdocs.coveo.comdocs.dolphindb.cn/­en/­help200/­index.htmlspotify.github.io/­heroicytsaurus.tech/­docs/­en
DeveloperCoveoDolphinDB, IncSpotifyYandex
Initial release2012201820142023
Current releasev2.00.4, January 2022
License infoCommercial or Open Sourcecommercialcommercial infofree community version availableOpen Source infoApache 2.0Open Source infoApache License, 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 languageC++JavaC++
Server operating systemshostedLinux
Windows
Ubuntu
Data schemehybrid - 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 dateyesyesyesyes
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 indexesyesyesyes infovia Elasticsearch
SQL infoSupport of SQLnoSQL-like query languagenoYQL, an SQL-based language, is supported
APIs and other access methodsRESTful HTTP APIJDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
HQL (Heroic Query Language, a JSON-based language)
HTTP API
Supported programming languagesC#
Java
JavaScript
Python
C#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
C++
Go
Java
JavaScript
Python
Server-side scripts infoStored proceduresnoyesno
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodesyeshorizontal partitioningShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesyesnoACID
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 filtersAdministrators, Users, GroupsAccess Control Lists

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More resources
CoveoDolphinDBHeroicYTsaurus
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