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DBMS > Coveo vs. GreptimeDB vs. HEAVY.AI vs. SurrealDB

System Properties Comparison Coveo vs. GreptimeDB vs. HEAVY.AI vs. SurrealDB

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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 comparisonSurrealDB  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 hardwareA fully ACID transactional, developer-friendly, multi-model DBMS
Primary database modelSearch engineTime Series DBMSRelational DBMSDocument store
Graph 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
Score1.11
Rank#174  Overall
#30  Document stores
#17  Graph DBMS
Websitewww.coveo.comgreptime.comgithub.com/­heavyai/­heavydb
www.heavy.ai
surrealdb.com
Technical documentationdocs.coveo.comdocs.greptime.comdocs.heavy.aisurrealdb.com/­docs
DeveloperCoveoGreptime Inc.HEAVY.AI, Inc.SurrealDB Ltd
Initial release2012202220162022
Current release5.10, January 2022v1.5.0, May 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoApache Version 2; enterprise edition availableOpen Source
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 CUDARust
Server operating systemshostedAndroid
Docker
FreeBSD
Linux
macOS
Windows
LinuxLinux
macOS
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 possibleyesschema-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.nonono
Secondary indexesyesyesno
SQL infoSupport of SQLnoyesyesSQL-like query language
APIs and other access methodsRESTful HTTP APIgRPC
HTTP API
JDBC
JDBC
ODBC
Thrift
Vega
GraphQL
RESTful HTTP API
WebSocket
Supported programming languagesC#
Java
JavaScript
Python
C++
Erlang
Go
Java
JavaScript
All languages supporting JDBC/ODBC/Thrift
Python
Deno
Go
JavaScript (Node.js)
Rust
Server-side scripts infoStored proceduresnoPythonno
Triggersyesno
Partitioning methods infoMethods for storing different data on different nodesyesShardingSharding infoRound robin
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication
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 integrityyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnoACID
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.yes
User concepts infoAccess controlgranular access controls, API key management, content filtersSimple rights management via user accountsfine grained access rights according to SQL-standardyes, based on authentication and database rules
More information provided by the system vendor
CoveoGreptimeDBHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022SurrealDB
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...
» more
Typical application scenariosFor IoT industries, GreptimeDB can seamless integrate with message queues and other...
» more
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 2022SurrealDB
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