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DBMS > Datomic vs. Solr vs. TDengine vs. Valentina Server

System Properties Comparison Datomic vs. Solr vs. TDengine vs. Valentina Server

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Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonSolr  Xexclude from comparisonTDengine  Xexclude from comparisonValentina Server  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityA widely used distributed, scalable search engine based on Apache LuceneTime Series DBMS and big data platformObject-relational database and reports server
Primary database modelRelational DBMSSearch engineTime Series DBMSRelational DBMS
Secondary database modelsSpatial DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score42.91
Rank#24  Overall
#3  Search engines
Score2.60
Rank#107  Overall
#8  Time Series DBMS
Score0.17
Rank#327  Overall
#145  Relational DBMS
Websitewww.datomic.comsolr.apache.orggithub.com/­taosdata/­TDengine
tdengine.com
www.valentina-db.net
Technical documentationdocs.datomic.comsolr.apache.org/­resources.htmldocs.tdengine.comvalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperCognitectApache Software FoundationTDEngine, previously Taos DataParadigma Software
Initial release2012200620191999
Current release1.0.6735, June 20239.6.0, April 20243.0, August 20225.7.5
License infoCommercial or Open Sourcecommercial infolimited edition freeOpen Source infoApache Version 2Open Source infoAGPL V3, also commercial editions availablecommercial
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, ClojureJavaC
Server operating systemsAll OS with a Java VMAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)Linux
Windows
Linux
OS X
Windows
Data schemeyesyes infoDynamic Fields enables on-the-fly addition of new fieldsyesyes
Typing infopredefined data types such as float or dateyesyes infosupports customizable data types and automatic typingyesyes
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.noyesno
Secondary indexesyesyes infoAll search fields are automatically indexednoyes
SQL infoSupport of SQLnoSolr Parallel SQL InterfaceStandard SQL with extensions for time-series applicationsyes
APIs and other access methodsRESTful HTTP APIJava API
RESTful HTTP/JSON API
JDBC
RESTful HTTP API
ODBC
Supported programming languagesClojure
Java
.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
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresyes infoTransaction FunctionsJava pluginsnoyes
TriggersBy using transaction functionsyes infoUser configurable commands triggered on index changesyes, via alarm monitoringyes
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes inforecommended only for testing and developmentyesyes
User concepts infoAccess controlnoyesyesfine grained access rights according to SQL-standard
More information provided by the system vendor
DatomicSolrTDengineValentina Server
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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17 May 2024

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8 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
DatomicSolrTDengineValentina Server
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