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DBMS > Apache Drill vs. Cachelot.io vs. openGemini vs. Solr vs. Transbase

System Properties Comparison Apache Drill vs. Cachelot.io vs. openGemini vs. Solr vs. Transbase

Editorial information provided by DB-Engines
NameApache Drill  Xexclude from comparisonCachelot.io  Xexclude from comparisonopenGemini  Xexclude from comparisonSolr  Xexclude from comparisonTransbase  Xexclude from comparison
DescriptionSchema-free SQL Query Engine for Hadoop, NoSQL and Cloud StorageIn-memory caching systemAn open source distributed Time Series DBMS with high concurrency, high performance, and high scalabilityA widely used distributed, scalable search engine based on Apache LuceneA resource-optimized, high-performance, universally applicable RDBMS
Primary database modelDocument store
Relational DBMS
Key-value storeTime Series DBMSSearch engineRelational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.02
Rank#124  Overall
#22  Document stores
#59  Relational DBMS
Score0.04
Rank#388  Overall
#62  Key-value stores
Score0.09
Rank#361  Overall
#37  Time Series DBMS
Score41.02
Rank#24  Overall
#3  Search engines
Score0.17
Rank#334  Overall
#148  Relational DBMS
Websitedrill.apache.orgcachelot.iowww.opengemini.org
github.com/­openGemini
solr.apache.orgwww.transaction.de/­en/­products/­transbase.html
Technical documentationdrill.apache.org/­docsdocs.opengemini.org/­guidesolr.apache.org/­resources.htmlwww.transaction.de/­en/­products/­transbase/­features.html
DeveloperApache Software FoundationHuawei and openGemini communityApache Software FoundationTransaction Software GmbH
Initial release20122015202220061987
Current release1.20.3, January 20231.1, July 20239.6.1, May 2024Transbase 8.3, 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoSimplified BSD LicenseOpen Source infoApache Version 2.0Open Source infoApache Version 2commercial infofree development license
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++GoJavaC and C++
Server operating systemsLinux
OS X
Windows
FreeBSD
Linux
OS X
Linux
Windows
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)FreeBSD
Linux
macOS
Solaris
Windows
Data schemeschema-freeschema-freeschema-freeyes infoDynamic Fields enables on-the-fly addition of new fieldsyes
Typing infopredefined data types such as float or dateyesnoInteger, Float, Boolean, Stringyes 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.nononoyesno
Secondary indexesnonoyesyes infoAll search fields are automatically indexedyes
SQL infoSupport of SQLSQL SELECT statement is SQL:2003 compliantnoSQL-like query languageSolr Parallel SQL Interfaceyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
Memcached protocolHTTP RESTJava API
RESTful HTTP/JSON API
ADO.NET
JDBC
ODBC
Proprietary native API
Supported programming languagesC++.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
OCaml
Perl
PHP
Python
Ruby
C
C++
Go
Java
JavaScript (Node.js)
Python
Rust
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
C
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python
Server-side scripts infoStored proceduresuser defined functionsnonoJava pluginsyes
Triggersnononoyes infoUser configurable commands triggered on index changesyes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesyesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemnonenoneEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononooptimistic lockingyes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentDepending on the underlying data sourcenoyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Depending on the underlying data sourcenoyesyesno
User concepts infoAccess controlDepending on the underlying data sourcenoAdministrators and common users accountsyesfine grained access rights according to SQL-standard

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More resources
Apache DrillCachelot.ioopenGeminiSolrTransbase
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