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DBMS > ClickHouse vs. FeatureBase vs. Solr

System Properties Comparison ClickHouse vs. FeatureBase vs. Solr

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Editorial information provided by DB-Engines
NameClickHouse  Xexclude from comparisonFeatureBase  Xexclude from comparisonSolr  Xexclude from comparison
DescriptionColumn-oriented Relational DBMS powering YandexReal-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.A widely used distributed, scalable search engine based on Apache Lucene
Primary database modelRelational DBMSRelational DBMSSearch engine
Secondary database modelsTime Series DBMSSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score14.24
Rank#43  Overall
#27  Relational DBMS
Score0.39
Rank#295  Overall
#136  Relational DBMS
Score47.28
Rank#24  Overall
#3  Search engines
Websiteclickhouse.techwww.molecula.comlucene.apache.org/­solr
Technical documentationclickhouse.tech/­docsdocs.molecula.cloudlucene.apache.org/­solr/­resources.html
DeveloperClickhouse Inc.Molecula and Pilosa Open Source ContributorsApache Software Foundation
Initial release201620172006
Current releasev23.1.3.5-stable, February 20232022, May 20229.1.1, January 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++GoJava
Server operating systemsFreeBSD
Linux
macOS
Linux
macOS
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeyesyesyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or dateyesyesyes 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 indexesyes, when using the MergeTree enginenoyes infoAll search fields are automatically indexed
SQL infoSupport of SQLClose to ANSI SQLSQL queriesSolr Parallel SQL Interface
APIs and other access methodsHTTP REST
JDBC
ODBC
Proprietary protocol
gRPC
JDBC
Kafka Connector
ODBC
Java API
RESTful HTTP/JSON API
Supported programming languagesC# info3rd party library
C++
Elixir info3rd party library
Go info3rd party library
Java info3rd party library
JavaScript (Node.js) info3rd party library
Kotlin info3rd party library
Nim info3rd party library
Perl info3rd party library
PHP info3rd party library
Python info3rd party library
R info3rd party library
Ruby info3rd party library
Scala info3rd party library
Java
Python
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnoJava plugins
Triggersnonoyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnospark-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 datanoyesoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes, using Linux fsyncyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlAccess rights for users and rolesyes

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ClickHouseFeatureBaseSolr
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