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DBMS > Apache Impala vs. HyperSQL vs. Solr

System Properties Comparison Apache Impala vs. HyperSQL vs. Solr

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonHyperSQL infoalso known as HSQLDB  Xexclude from comparisonSolr  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopMultithreaded, transactional RDBMS written in Java infoalso known as HSQLDBA widely used distributed, scalable search engine based on Apache Lucene
Primary database modelRelational DBMSRelational DBMSSearch engine
Secondary database modelsDocument storeSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score3.49
Rank#87  Overall
#47  Relational DBMS
Score42.91
Rank#24  Overall
#3  Search engines
Websiteimpala.apache.orghsqldb.orgsolr.apache.org
Technical documentationimpala.apache.org/­impala-docs.htmlhsqldb.org/­web/­hsqlDocsFrame.htmlsolr.apache.org/­resources.html
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaApache Software Foundation
Initial release201320012006
Current release4.1.0, June 20222.7.2, June 20239.6.0, April 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infobased on BSD licenseOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaJava
Server operating systemsLinuxAll OS with a Java VM infoEmbedded (into Java applications) and Client-Server operating modesAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeyesyesyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or dateyesyesyes infosupports customizable data types and automatic typing
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.nonoyes
Secondary indexesyesyesyes infoAll search fields are automatically indexed
SQL infoSupport of SQLSQL-like DML and DDL statementsyesSolr Parallel SQL Interface
APIs and other access methodsJDBC
ODBC
HTTP API infoJDBC via HTTP
JDBC
ODBC
Java API
RESTful HTTP/JSON API
Supported programming languagesAll languages supporting JDBC/ODBCAll languages supporting JDBC/ODBC
Java
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceJava, SQLJava plugins
Triggersnoyesyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factornoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDoptimistic locking
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.noyesyes
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and Kerberosfine grained access rights according to SQL-standardyes

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More resources
Apache ImpalaHyperSQL infoalso known as HSQLDBSolr
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