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DBMS > Hive vs. HyperSQL vs. Kinetica vs. Solr

System Properties Comparison Hive vs. HyperSQL vs. Kinetica vs. Solr

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Editorial information provided by DB-Engines
NameHive  Xexclude from comparisonHyperSQL infoalso known as HSQLDB  Xexclude from comparisonKinetica  Xexclude from comparisonSolr  Xexclude from comparison
Descriptiondata warehouse software for querying and managing large distributed datasets, built on HadoopMultithreaded, transactional RDBMS written in Java infoalso known as HSQLDBFully vectorized database across both GPUs and CPUsA widely used distributed, scalable search engine based on Apache Lucene
Primary database modelRelational DBMSRelational DBMSRelational DBMSSearch engine
Secondary database modelsSpatial DBMS
Time Series DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score3.49
Rank#87  Overall
#47  Relational DBMS
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score42.91
Rank#24  Overall
#3  Search engines
Websitehive.apache.orghsqldb.orgwww.kinetica.comsolr.apache.org
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homehsqldb.org/­web/­hsqlDocsFrame.htmldocs.kinetica.comsolr.apache.org/­resources.html
DeveloperApache Software Foundation infoinitially developed by FacebookKineticaApache Software Foundation
Initial release2012200120122006
Current release3.1.3, April 20222.7.2, June 20237.1, August 20219.6.0, April 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infobased on BSD licensecommercialOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC, C++Java
Server operating systemsAll OS with a Java VMAll OS with a Java VM infoEmbedded (into Java applications) and Client-Server operating modesLinuxAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeyesyesyesyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or dateyesyesyesyes 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 indexesyesyesyesyes infoAll search fields are automatically indexed
SQL infoSupport of SQLSQL-like DML and DDL statementsyesSQL-like DML and DDL statementsSolr Parallel SQL Interface
APIs and other access methodsJDBC
ODBC
Thrift
HTTP API infoJDBC via HTTP
JDBC
ODBC
JDBC
ODBC
RESTful HTTP API
Java API
RESTful HTTP/JSON API
Supported programming languagesC++
Java
PHP
Python
All languages supporting JDBC/ODBC
Java
C++
Java
JavaScript (Node.js)
Python
.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, SQLuser defined functionsJava plugins
Triggersnoyesyes infotriggers when inserted values for one or more columns fall within a specified rangeyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factornoneSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenonospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency
Foreign keys infoReferential integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnooptimistic locking
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.yesyes infoGPU vRAM or System RAMyes
User concepts infoAccess controlAccess rights for users, groups and rolesfine grained access rights according to SQL-standardAccess rights for users and roles on table levelyes

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More resources
HiveHyperSQL infoalso known as HSQLDBKineticaSolr
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