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DBMS > Brytlyt vs. LevelDB vs. OpenQM vs. Realm vs. Solr

System Properties Comparison Brytlyt vs. LevelDB vs. OpenQM vs. Realm vs. Solr

Editorial information provided by DB-Engines
NameBrytlyt  Xexclude from comparisonLevelDB  Xexclude from comparisonOpenQM infoalso called QM  Xexclude from comparisonRealm  Xexclude from comparisonSolr  Xexclude from comparison
DescriptionScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesQpenQM is a high-performance, self-tuning, multi-value DBMSA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataA widely used distributed, scalable search engine based on Apache Lucene
Primary database modelRelational DBMSKey-value storeMultivalue DBMSDocument storeSearch engine
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.38
Rank#276  Overall
#127  Relational DBMS
Score2.25
Rank#115  Overall
#19  Key-value stores
Score0.34
Rank#284  Overall
#10  Multivalue DBMS
Score7.41
Rank#52  Overall
#8  Document stores
Score41.02
Rank#24  Overall
#3  Search engines
Websitebrytlyt.iogithub.com/­google/­leveldbwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-open-qmrealm.iosolr.apache.org
Technical documentationdocs.brytlyt.iogithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdrealm.io/­docssolr.apache.org/­resources.html
DeveloperBrytlytGoogleRocket Software, originally Martin PhillipsRealm, acquired by MongoDB in May 2019Apache Software Foundation
Initial release20162011199320142006
Current release5.0, August 20231.23, February 20213.4-129.6.1, May 2024
License infoCommercial or Open SourcecommercialOpen Source infoBSDOpen Source infoGPLv2, extended commercial license availableOpen SourceOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++ and CUDAC++Java
Server operating systemsLinux
OS X
Windows
Illumos
Linux
OS X
Windows
AIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows
Android
Backend: server-less
iOS
Windows
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeyesschema-freeyes infowith some exceptionsyesyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or dateyesnoyesyes 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.yes infospecific XML-type available, but no XML query functionality.noyesnoyes
Secondary indexesyesnoyesyesyes infoAll search fields are automatically indexed
SQL infoSupport of SQLyesnononoSolr Parallel SQL Interface
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Java API
RESTful HTTP/JSON API
Supported programming languages.Net
C
C++
Delphi
Java
Perl
Python
Tcl
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
.Net
Basic
C
Java
Objective C
PHP
Python
.Net
Java infowith Android only
Objective-C
React Native
Swift
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresuser defined functions infoin PL/pgSQLnoyesno inforuns within the applications so server-side scripts are unnecessaryJava plugins
Triggersyesnoyesyes infoChange Listenersyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesnoneyesnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnoneyesnoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACIDoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infowith automatic compression on writesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoIn-Memory realmyes
User concepts infoAccess controlfine grained access rights according to SQL-standardnoAccess rights can be defined down to the item levelyesyes

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More resources
BrytlytLevelDBOpenQM infoalso called QMRealmSolr
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