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DBMS > Solr vs. TDengine vs. Ultipa

System Properties Comparison Solr vs. TDengine vs. Ultipa

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Editorial information provided by DB-Engines
NameSolr  Xexclude from comparisonTDengine  Xexclude from comparisonUltipa  Xexclude from comparison
DescriptionA widely used distributed, scalable search engine based on Apache LuceneTime Series DBMS and big data platformHigh performance Graph DBMS supporting HTAP high availability cluster deployment
Primary database modelSearch engineTime Series DBMSGraph DBMS
Secondary database modelsSpatial DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score41.02
Rank#24  Overall
#3  Search engines
Score2.68
Rank#106  Overall
#9  Time Series DBMS
Score0.19
Rank#330  Overall
#30  Graph DBMS
Websitesolr.apache.orggithub.com/­taosdata/­TDengine
tdengine.com
www.ultipa.com
Technical documentationsolr.apache.org/­resources.htmldocs.tdengine.comwww.ultipa.com/­document
DeveloperApache Software FoundationTDEngine, previously Taos DataUltipa
Initial release200620192019
Current release9.6.1, May 20243.0, August 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoAGPL V3, also commercial editions availablecommercial
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC
Server operating systemsAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)Linux
Windows
Data schemeyes infoDynamic Fields enables on-the-fly addition of new fieldsyes
Typing infopredefined data types such as float or dateyes 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.yesno
Secondary indexesyes infoAll search fields are automatically indexedno
SQL infoSupport of SQLSolr Parallel SQL InterfaceStandard SQL with extensions for time-series applications
APIs and other access methodsJava API
RESTful HTTP/JSON API
JDBC
RESTful HTTP API
RESTful HTTP API
Supported programming languages.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
C++
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresJava pluginsno
Triggersyes infoUser configurable commands triggered on index changesyes, via alarm monitoring
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 methodsspark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlyesyes
More information provided by the system vendor
SolrTDengineUltipa
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
News

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12 June 2024

Enhancing IoT and Industrial Data Management with TDengine’s MySQL Connector
12 June 2024

Comprehensive Comparison Between TDengine and MongoDB
6 June 2024

Comprehensive Comparison Between TDengine and TimescaleDB
5 June 2024

Mastering Memory Leak Detection in TDengine
31 May 2024

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
SolrTDengineUltipa
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