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DBMS > Coveo vs. GreptimeDB vs. HEAVY.AI vs. Sadas Engine

System Properties Comparison Coveo vs. GreptimeDB vs. HEAVY.AI vs. Sadas Engine

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Editorial information provided by DB-Engines
NameCoveo  Xexclude from comparisonGreptimeDB  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonSadas Engine  Xexclude from comparison
DescriptionAI-powered hosted search, recommendation and personalization platform providing tools for both low-code and full-code developmentAn open source Time Series DBMS built for increased scalability, high performance and efficiencyA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environments
Primary database modelSearch engineTime Series DBMSRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.14
Rank#116  Overall
#11  Search engines
Score0.09
Rank#343  Overall
#31  Time Series DBMS
Score1.41
Rank#153  Overall
#71  Relational DBMS
Score0.00
Rank#385  Overall
#159  Relational DBMS
Websitewww.coveo.comgreptime.comgithub.com/­heavyai/­heavydb
www.heavy.ai
www.sadasengine.com
Technical documentationdocs.coveo.comdocs.greptime.comdocs.heavy.aiwww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentation
DeveloperCoveoGreptime Inc.HEAVY.AI, Inc.SADAS s.r.l.
Initial release2012202220162006
Current release5.10, January 20228.0
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoApache Version 2; enterprise edition availablecommercial infofree trial version available
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 languageRustC++ and CUDAC++
Server operating systemshostedAndroid
Docker
FreeBSD
Linux
macOS
Windows
LinuxAIX
Linux
Windows
Data schemehybrid - fields need to be configured prior to indexing, but relationships can be exploited at query time without pre-configurationschema-free, schema definition possibleyesyes
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 indexesyesyesnoyes
SQL infoSupport of SQLnoyesyesyes
APIs and other access methodsRESTful HTTP APIgRPC
HTTP API
JDBC
JDBC
ODBC
Thrift
Vega
JDBC
ODBC
Proprietary protocol
Supported programming languagesC#
Java
JavaScript
Python
C++
Erlang
Go
Java
JavaScript
All languages supporting JDBC/ODBC/Thrift
Python
.Net
C
C#
C++
Groovy
Java
PHP
Python
Server-side scripts infoStored proceduresnoPythonnono
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodesyesShardingSharding infoRound robinhorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesno
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.yesyes infomanaged by 'Learn by Usage'
User concepts infoAccess controlgranular access controls, API key management, content filtersSimple rights management via user accountsfine grained access rights according to SQL-standardAccess rights for users, groups and roles according to SQL-standard
More information provided by the system vendor
CoveoGreptimeDBHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022Sadas Engine
Specific characteristicsGreptimeDB is a SQL & Python-enabled timeseries database system built from scratch...
» more
Competitive advantages- Inherits advantages of Rust, such as excellent performance, memory safe, resource...
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Typical application scenariosFor IoT industries, GreptimeDB can seamless integrate with message queues and other...
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Key customersGreptime's clients span multiple sectors including IoT, connected vehicles, and energy...
» more
Market metricsGreptimeDB has garnered global recognition by topping GitHub trends following its...
» more
Licensing and pricing modelsGreptimeDB: open source, distributed, cloud-native TSDB; supports Hybrid Time-series...
» more

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CoveoGreptimeDBHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022Sadas Engine
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