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DBMS > Apache Drill vs. Apache Kylin vs. Solr vs. TDengine

System Properties Comparison Apache Drill vs. Apache Kylin vs. Solr vs. TDengine

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Editorial information provided by DB-Engines
NameApache Drill  Xexclude from comparisonApache Kylin  Xexclude from comparisonSolr  Xexclude from comparisonTDengine  Xexclude from comparison
DescriptionSchema-free SQL Query Engine for Hadoop, NoSQL and Cloud StorageA distributed analytics engine for big data, providing a SQL interface and multi-dimensional analysis (OLAP) and leveraging the Hadoop stackA widely used distributed, scalable search engine based on Apache LuceneTime Series DBMS and big data platform
Primary database modelDocument store
Relational DBMS
Relational DBMSSearch engineTime Series DBMS
Secondary database modelsSpatial DBMSRelational 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
Score1.25
Rank#170  Overall
#77  Relational DBMS
Score41.02
Rank#24  Overall
#3  Search engines
Score2.68
Rank#106  Overall
#9  Time Series DBMS
Websitedrill.apache.orgkylin.apache.orgsolr.apache.orggithub.com/­taosdata/­TDengine
tdengine.com
Technical documentationdrill.apache.org/­docskylin.apache.org/­docssolr.apache.org/­resources.htmldocs.tdengine.com
DeveloperApache Software FoundationApache Software Foundation, originally contributed from eBay IncApache Software FoundationTDEngine, previously Taos Data
Initial release2012201520062019
Current release1.20.3, January 20233.1.0, July 20209.6.1, May 20243.0, August 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache Version 2.0Open Source infoApache Version 2Open Source infoAGPL V3, also commercial editions available
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 languageJavaJavaC
Server operating systemsLinux
OS X
Windows
LinuxAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)Linux
Windows
Data schemeschema-freeyesyes infoDynamic Fields enables on-the-fly addition of new fieldsyes
Typing infopredefined data types such as float or dateyesyesyes 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.nonoyesno
Secondary indexesnoyesyes infoAll search fields are automatically indexedno
SQL infoSupport of SQLSQL SELECT statement is SQL:2003 compliantANSI SQL for queries (using Apache Calcite)Solr Parallel SQL InterfaceStandard SQL with extensions for time-series applications
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
Java API
RESTful HTTP/JSON API
JDBC
RESTful HTTP API
Supported programming languagesC++.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
Server-side scripts infoStored proceduresuser defined functionsJava pluginsno
Triggersnoyes infoUser configurable commands triggered on index changesyes, via alarm monitoring
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesspark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanooptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentDepending on the underlying data sourceyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Depending on the underlying data sourcenoyes
User concepts infoAccess controlDepending on the underlying data sourceyesyes
More information provided by the system vendor
Apache DrillApache KylinSolrTDengine
Specific characteristicsTDengine™ is a next generation data historian purpose-built for Industry 4.0 and...
» more
Competitive advantagesHigh Performance at any Scale: TDengine is purpose-built for handling massive industrial...
» more
Typical application scenariosTDengine is designed for Industrial IoT scenarios, including: Manufacturing Connected...
» more
Market metricsTDengine has garnered over 22,500 stars on GitHub and is used in over 50 countries...
» more
Licensing and pricing modelsTDengine OSS is an open source, cloud native time series database. It includes built-in...
» more
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