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DBMS > Apache Impala vs. Coveo vs. HyperSQL

System Properties Comparison Apache Impala vs. Coveo vs. HyperSQL

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonCoveo  Xexclude from comparisonHyperSQL infoalso known as HSQLDB  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 HSQLDB
Primary database modelRelational DBMSSearch engineRelational 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
Websiteimpala.apache.orgwww.coveo.comhsqldb.org
Technical documentationimpala.apache.org/­impala-docs.htmldocs.coveo.comhsqldb.org/­web/­hsqlDocsFrame.html
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaCoveo
Initial release201320122001
Current release4.1.0, June 20222.7.2, June 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialOpen Source infobased on BSD license
Cloud-based only infoOnly available as a cloud servicenoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++Java
Server operating systemsLinuxhostedAll OS with a Java VM infoEmbedded (into Java applications) and Client-Server operating modes
Data schemeyeshybrid - fields need to be configured prior to indexing, but relationships can be exploited at query time without pre-configurationyes
Typing infopredefined data types such as float or dateyesyesyes
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 indexesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnoyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP APIHTTP API infoJDBC via HTTP
JDBC
ODBC
Supported programming languagesAll languages supporting JDBC/ODBCC#
Java
JavaScript
Python
All languages supporting JDBC/ODBC
Java
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenoJava, SQL
Triggersnoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingyesnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
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-standard

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More resources
Apache ImpalaCoveoHyperSQL infoalso known as HSQLDB
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Apache Impala becomes Top-Level Project
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