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DBMS > GBase vs. Heroic vs. LevelDB vs. MonetDB vs. Solr

System Properties Comparison GBase vs. Heroic vs. LevelDB vs. MonetDB vs. Solr

Editorial information provided by DB-Engines
NameGBase  Xexclude from comparisonHeroic  Xexclude from comparisonLevelDB  Xexclude from comparisonMonetDB  Xexclude from comparisonSolr  Xexclude from comparison
DescriptionWidely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.Time Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesA relational database management system that stores data in columnsA widely used distributed, scalable search engine based on Apache Lucene
Primary database modelRelational DBMSTime Series DBMSKey-value storeRelational DBMSSearch engine
Secondary database modelsDocument store
Spatial DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.07
Rank#185  Overall
#86  Relational DBMS
Score0.51
Rank#255  Overall
#21  Time Series DBMS
Score2.35
Rank#111  Overall
#19  Key-value stores
Score1.72
Rank#145  Overall
#67  Relational DBMS
Score42.91
Rank#24  Overall
#3  Search engines
Websitewww.gbase.cngithub.com/­spotify/­heroicgithub.com/­google/­leveldbwww.monetdb.orgsolr.apache.org
Technical documentationspotify.github.io/­heroicgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdwww.monetdb.org/­Documentationsolr.apache.org/­resources.html
DeveloperGeneral Data Technology Co., Ltd.SpotifyGoogleMonetDB BVApache Software Foundation
Initial release20042014201120042006
Current releaseGBase 8a, GBase 8s, GBase 8c1.23, February 2021Dec2023 (11.49), December 20239.6.0, April 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoBSDOpen Source infoMozilla Public License 2.0Open 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, Java, PythonJavaC++CJava
Server operating systemsLinuxIllumos
Linux
OS X
Windows
FreeBSD
Linux
OS X
Solaris
Windows
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeyesschema-freeschema-freeyesyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or dateyesyesnoyesyes 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.yesnonoyes
Secondary indexesyesyes infovia Elasticsearchnoyesyes infoAll search fields are automatically indexed
SQL infoSupport of SQLStandard with numerous extensionsnonoyes infoSQL 2003 with some extensionsSolr Parallel SQL Interface
APIs and other access methodsADO.NET
C API
JDBC
ODBC
HQL (Heroic Query Language, a JSON-based language)
HTTP API
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
Java API
RESTful HTTP/JSON API
Supported programming languagesC#C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
.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 functionsnonoyes, in SQL, C, RJava plugins
Triggersyesnonoyesyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by range, list and hash) and vertical partitioningShardingnoneSharding via remote tablesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesnonenone infoSource-replica replication available in experimental statusyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesnonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACIDoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infowith automatic compression on writesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlyesnofine grained access rights according to SQL-standardyes

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More resources
GBaseHeroicLevelDBMonetDBSolr
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