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DBMS > Apache Impala vs. Coveo vs. HyperSQL vs. Prometheus

System Properties Comparison Apache Impala vs. Coveo vs. HyperSQL vs. Prometheus

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonCoveo  Xexclude from comparisonHyperSQL infoalso known as HSQLDB  Xexclude from comparisonPrometheus  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopAI-powered hosted search, recommendation and personalization platform providing tools for both low-code and full-code developmentMultithreaded, transactional RDBMS written in Java infoalso known as HSQLDBOpen-source Time Series DBMS and monitoring system
Primary database modelRelational DBMSSearch engineRelational DBMSTime Series DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score2.28
Rank#114  Overall
#11  Search engines
Score3.49
Rank#87  Overall
#47  Relational DBMS
Score8.42
Rank#47  Overall
#2  Time Series DBMS
Websiteimpala.apache.orgwww.coveo.comhsqldb.orgprometheus.io
Technical documentationimpala.apache.org/­impala-docs.htmldocs.coveo.comhsqldb.org/­web/­hsqlDocsFrame.htmlprometheus.io/­docs
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaCoveo
Initial release2013201220012015
Current release4.1.0, June 20222.7.2, June 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialOpen Source infobased on BSD licenseOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaGo
Server operating systemsLinuxhostedAll OS with a Java VM infoEmbedded (into Java applications) and Client-Server operating modesLinux
Windows
Data schemeyeshybrid - 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 dateyesyesyesNumeric data only
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 infoImport of XML data possible
Secondary indexesyesyesyesno
SQL infoSupport of SQLSQL-like DML and DDL statementsnoyesno
APIs and other access methodsJDBC
ODBC
RESTful HTTP APIHTTP API infoJDBC via HTTP
JDBC
ODBC
RESTful HTTP/JSON API
Supported programming languagesAll languages supporting JDBC/ODBCC#
Java
JavaScript
Python
All languages supporting JDBC/ODBC
Java
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenoJava, SQLno
Triggersnoyesyesno
Partitioning methods infoMethods for storing different data on different nodesShardingyesnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryesnoneyes infoby Federation
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistencynone
Foreign keys infoReferential integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesACIDno
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.noyesno
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and Kerberosgranular access controls, API key management, content filtersfine grained access rights according to SQL-standardno

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More resources
Apache ImpalaCoveoHyperSQL infoalso known as HSQLDBPrometheus
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