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DBMS > HBase vs. Hyprcubd vs. Quasardb vs. Solr

System Properties Comparison HBase vs. Hyprcubd vs. Quasardb vs. Solr

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Editorial information provided by DB-Engines
NameHBase  Xexclude from comparisonHyprcubd  Xexclude from comparisonQuasardb  Xexclude from comparisonSolr  Xexclude from comparison
Hyprcubd seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
DescriptionWide-column store based on Apache Hadoop and on concepts of BigTableServerless Time Series DBMSDistributed, high-performance timeseries databaseA widely used distributed, scalable search engine based on Apache Lucene
Primary database modelWide column storeTime Series DBMSTime Series DBMSSearch engine
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score30.50
Rank#26  Overall
#2  Wide column stores
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Score42.91
Rank#24  Overall
#3  Search engines
Websitehbase.apache.orghyprcubd.com (offline)quasar.aisolr.apache.org
Technical documentationhbase.apache.org/­book.htmldoc.quasar.ai/­mastersolr.apache.org/­resources.html
DeveloperApache Software Foundation infoApache top-level project, originally developed by PowersetHyprcubd, Inc.quasardbApache Software Foundation
Initial release200820092006
Current release2.3.4, January 20213.14.1, January 20249.6.0, April 2024
License infoCommercial or Open SourceOpen Source infoApache version 2commercialcommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaGoC++Java
Server operating systemsLinux
Unix
Windows infousing Cygwin
hostedBSD
Linux
OS X
Windows
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeschema-free, schema definition possibleyesschema-freeyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or dateoptions to bring your own types, AVROyes infotime, int, uint, float, stringyes infointeger and binaryyes 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.nononoyes
Secondary indexesnonoyes infowith tagsyes infoAll search fields are automatically indexed
SQL infoSupport of SQLnoSQL-like query languageSQL-like query languageSolr Parallel SQL Interface
APIs and other access methodsJava API
RESTful HTTP API
Thrift
gRPC (https)HTTP APIJava API
RESTful HTTP/JSON API
Supported programming languagesC
C#
C++
Groovy
Java
PHP
Python
Scala
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresyes infoCoprocessors in JavanonoJava plugins
Triggersyesnonoyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoconsistent hashingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Source-replica replication with selectable replication factoryes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnowith Hadoop integrationspark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyEventual ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataSingle row ACID (across millions of columns)noACIDoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesnoyesyes
Durability infoSupport for making data persistentyesyesyes infoby using LevelDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes infoTransient modeyes
User concepts infoAccess controlAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACtoken accessCryptographically strong user authentication and audit trailyes

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More resources
HBaseHyprcubdQuasardbSolr
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