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DBMS > Hyprcubd vs. mSQL vs. OrigoDB vs. Solr vs. YDB

System Properties Comparison Hyprcubd vs. mSQL vs. OrigoDB vs. Solr vs. YDB

Editorial information provided by DB-Engines
NameHyprcubd  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparisonOrigoDB  Xexclude from comparisonSolr  Xexclude from comparisonYDB  Xexclude from comparison
Hyprcubd seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
DescriptionServerless Time Series DBMSmSQL (Mini SQL) is a simple and lightweight RDBMSA fully ACID in-memory object graph databaseA widely used distributed, scalable search engine based on Apache LuceneA distributed fault-tolerant database service, with high availability, scalability, immediate consistency and ACID transactions and providing an Amazon DynamoDB compatible API
Primary database modelTime Series DBMSRelational DBMSDocument store
Object oriented DBMS
Search engineDocument store
Relational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.27
Rank#167  Overall
#77  Relational DBMS
Score0.00
Rank#383  Overall
#53  Document stores
#20  Object oriented DBMS
Score42.91
Rank#24  Overall
#3  Search engines
Score0.35
Rank#278  Overall
#43  Document stores
#127  Relational DBMS
Websitehyprcubd.com (offline)hughestech.com.au/­products/­msqlorigodb.comsolr.apache.orggithub.com/­ydb-platform/­ydb
ydb.tech
Technical documentationorigodb.com/­docssolr.apache.org/­resources.htmlydb.tech/­en/­docs
DeveloperHyprcubd, Inc.Hughes TechnologiesRobert Friberg et alApache Software FoundationYandex
Initial release19942009 infounder the name LiveDB20062019
Current release4.4, October 20219.6.0, April 2024
License infoCommercial or Open Sourcecommercialcommercial infofree licenses can be providedOpen SourceOpen Source infoApache Version 2Open Source infoApache 2.0; commercial license available
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoCC#Java
Server operating systemshostedAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Linux
Windows
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)Linux
Data schemeyesyesyesyes infoDynamic Fields enables on-the-fly addition of new fieldsFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or dateyes infotime, int, uint, float, stringyesUser defined using .NET types and collectionsyes infosupports customizable data types and automatic typingyes
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 infocan be achieved using .NETyesno
Secondary indexesnoyesyesyes infoAll search fields are automatically indexedyes
SQL infoSupport of SQLSQL-like query languageA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersnoSolr Parallel SQL InterfaceSQL-like query language (YQL)
APIs and other access methodsgRPC (https)JDBC
ODBC
.NET Client API
HTTP API
LINQ
Java API
RESTful HTTP/JSON API
RESTful HTTP API (DynamoDB compatible)
Supported programming languagesC
C++
Delphi
Java
Perl
PHP
Tcl
.Net.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Go
Java
JavaScript (Node.js)
PHP
Python
Server-side scripts infoStored proceduresnonoyesJava pluginsno
Triggersnonoyes infoDomain Eventsyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning infoclient side managed; servers are not synchronizedShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationyesActive-passive shard replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencynoneEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonodepending on modelnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDoptimistic lockingACID
Concurrency infoSupport for concurrent manipulation of datanonoyesyesyes
Durability infoSupport for making data persistentyesyesyes infoWrite ahead logyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesyesno
User concepts infoAccess controltoken accessnoRole based authorizationyesAccess rights defined for Yandex Cloud users

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More resources
HyprcubdmSQL infoMini SQLOrigoDBSolrYDB
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