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DBMS > Coveo vs. DuckDB vs. EsgynDB vs. Hawkular Metrics

System Properties Comparison Coveo vs. DuckDB vs. EsgynDB vs. Hawkular Metrics

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Editorial information provided by DB-Engines
NameCoveo  Xexclude from comparisonDuckDB  Xexclude from comparisonEsgynDB  Xexclude from comparisonHawkular Metrics  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 RDBMSEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.
Primary database modelSearch engineRelational DBMSRelational DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.11
Rank#118  Overall
#11  Search engines
Score4.63
Rank#69  Overall
#37  Relational DBMS
Score0.25
Rank#312  Overall
#138  Relational DBMS
Score0.08
Rank#366  Overall
#39  Time Series DBMS
Websitewww.coveo.comduckdb.orgwww.esgyn.cnwww.hawkular.org
Technical documentationdocs.coveo.comduckdb.org/­docswww.hawkular.org/­hawkular-metrics/­docs/­user-guide
DeveloperCoveoEsgynCommunity supported by Red Hat
Initial release2012201820152014
Current release0.10, February 2024
License infoCommercial or Open SourcecommercialOpen Source infoMIT LicensecommercialOpen Source infoApache 2.0
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 languageC++C++, JavaJava
Server operating systemshostedserver-lessLinuxLinux
OS X
Windows
Data schemehybrid - fields need to be configured prior to indexing, but relationships can be exploited at query time without pre-configurationyesyesschema-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 indexesyesyesyesno
SQL infoSupport of SQLnoyesyesno
APIs and other access methodsRESTful HTTP APIArrow Database Connectivity (ADBC)
CLI Client
JDBC
ODBC
ADO.NET
JDBC
ODBC
HTTP REST
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
All languages supporting JDBC/ODBC/ADO.NetGo
Java
Python
Ruby
Server-side scripts infoStored proceduresnonoJava Stored Proceduresno
Triggersyesnonoyes infovia Hawkular Alerting
Partitioning methods infoMethods for storing different data on different nodesyesnoneShardingSharding infobased on Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneMulti-source replication between multi datacentersselectable replication factor infobased on Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Foreign keys infoReferential integrityyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes
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.yesnono
User concepts infoAccess controlgranular access controls, API key management, content filtersnofine grained access rights according to SQL-standardno

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CoveoDuckDBEsgynDBHawkular Metrics
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