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DBMS > Apache Kylin vs. Graph Engine vs. MonetDB vs. Solr

System Properties Comparison Apache Kylin vs. Graph Engine vs. MonetDB vs. Solr

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Editorial information provided by DB-Engines
NameApache Kylin  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonMonetDB  Xexclude from comparisonSolr  Xexclude from comparison
DescriptionA distributed analytics engine for big data, providing a SQL interface and multi-dimensional analysis (OLAP) and leveraging the Hadoop stackA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineA relational database management system that stores data in columnsA widely used distributed, scalable search engine based on Apache Lucene
Primary database modelRelational DBMSGraph DBMS
Key-value store
Relational DBMSSearch engine
Secondary database modelsDocument store
Spatial DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.25
Rank#170  Overall
#77  Relational DBMS
Score0.67
Rank#232  Overall
#21  Graph DBMS
#34  Key-value stores
Score1.72
Rank#141  Overall
#64  Relational DBMS
Score41.02
Rank#24  Overall
#3  Search engines
Websitekylin.apache.orgwww.graphengine.iowww.monetdb.orgsolr.apache.org
Technical documentationkylin.apache.org/­docswww.graphengine.io/­docs/­manualwww.monetdb.org/­Documentationsolr.apache.org/­resources.html
DeveloperApache Software Foundation, originally contributed from eBay IncMicrosoftMonetDB BVApache Software Foundation
Initial release2015201020042006
Current release3.1.0, July 2020Dec2023 (11.49), December 20239.6.1, May 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoMIT LicenseOpen Source infoMozilla Public License 2.0Open Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava.NET and CCJava
Server operating systemsLinux.NETFreeBSD
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 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 indexesyesyesyes infoAll search fields are automatically indexed
SQL infoSupport of SQLANSI SQL for queries (using Apache Calcite)noyes infoSQL 2003 with some extensionsSolr Parallel SQL Interface
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
RESTful HTTP APIJDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
Java API
RESTful HTTP/JSON API
Supported programming languagesC#
C++
F#
Visual Basic
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 proceduresyesyes, in SQL, C, RJava plugins
Triggersnoyesyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningSharding via remote tablesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoSource-replica replication available in experimental statusyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardyes

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More resources
Apache KylinGraph Engine infoformer name: TrinityMonetDBSolr
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