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DBMS > Coveo vs. DuckDB vs. Sphinx

System Properties Comparison Coveo vs. DuckDB vs. Sphinx

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Editorial information provided by DB-Engines
NameCoveo  Xexclude from comparisonDuckDB  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionAI-powered hosted search, recommendation and personalization platform providing tools for both low-code and full-code developmentAn embeddable, in-process, column-oriented SQL OLAP RDBMSOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelSearch engineRelational DBMSSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.65
Rank#126  Overall
#11  Search engines
Score4.05
Rank#91  Overall
#47  Relational DBMS
Score5.97
Rank#69  Overall
#8  Search engines
Websitewww.coveo.comduckdb.orgsphinxsearch.com
Technical documentationdocs.coveo.comduckdb.org/­docssphinxsearch.com/­docs
DeveloperCoveoSphinx Technologies Inc.
Initial release201220182001
Current release0.9, September 20233.5.1, February 2023
License infoCommercial or Open SourcecommercialOpen Source infoMIT LicenseOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++
Server operating systemshostedserver-lessFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
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 dateyesyesno
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 indexesyesyesyes infofull-text index on all search fields
SQL infoSupport of SQLnoyesSQL-like query language (SphinxQL)
APIs and other access methodsRESTful HTTP APICLI Client
JDBC
Proprietary protocol
Supported programming languagesC#
Java
JavaScript
Python
C
C# info3rd party driver
C++
Crystal info3rd party driver
Go info3rd party driver
Java
Lisp info3rd party driver
Python
R
Ruby info3rd party driver
Rust
Swift
Zig info3rd party driver
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresnonono
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodesyesnoneSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesyesnonenone
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 integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyes infoThe original contents of fields are not stored in the Sphinx index.
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 filtersnono

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More resources
CoveoDuckDBSphinx
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