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DBMS > Solr vs. Stardog vs. TDengine vs. VelocityDB

System Properties Comparison Solr vs. Stardog vs. TDengine vs. VelocityDB

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Editorial information provided by DB-Engines
NameSolr  Xexclude from comparisonStardog  Xexclude from comparisonTDengine  Xexclude from comparisonVelocityDB  Xexclude from comparison
DescriptionA widely used distributed, scalable search engine based on Apache LuceneEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualizationTime Series DBMS and big data platformA .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)
Primary database modelSearch engineGraph DBMS
RDF store
Time Series DBMSGraph DBMS
Object oriented 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
Score2.07
Rank#122  Overall
#11  Graph DBMS
#6  RDF stores
Score2.68
Rank#106  Overall
#9  Time Series DBMS
Score0.11
Rank#354  Overall
#37  Graph DBMS
#15  Object oriented DBMS
Websitesolr.apache.orgwww.stardog.comgithub.com/­taosdata/­TDengine
tdengine.com
velocitydb.com
Technical documentationsolr.apache.org/­resources.htmldocs.stardog.comdocs.tdengine.comvelocitydb.com/­UserGuide
DeveloperApache Software FoundationStardog-UnionTDEngine, previously Taos DataVelocityDB Inc
Initial release2006201020192011
Current release9.6.1, May 20247.3.0, May 20203.0, August 20227.x
License infoCommercial or Open SourceOpen Source infoApache Version 2commercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/studentsOpen Source infoAGPL V3, also commercial editions availablecommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaCC#
Server operating systemsAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)Linux
macOS
Windows
Linux
Windows
Any that supports .NET
Data schemeyes infoDynamic Fields enables on-the-fly addition of new fieldsschema-free and OWL/RDFS-schema supportyesyes
Typing infopredefined data types such as float or dateyes infosupports customizable data types and automatic typingyesyesyes
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 infoImport/export of XML data possiblenono
Secondary indexesyes infoAll search fields are automatically indexedyes infosupports real-time indexing in full-text and geospatialnoyes
SQL infoSupport of SQLSolr Parallel SQL InterfaceYes, compatible with all major SQL variants through dedicated BI/SQL ServerStandard SQL with extensions for time-series applicationsno
APIs and other access methodsJava API
RESTful HTTP/JSON API
GraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
JDBC
RESTful HTTP API
.Net
Supported programming languages.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
.Net
Server-side scripts infoStored proceduresJava pluginsuser defined functions and aggregates, HTTP Server extensions in Javanono
Triggersyes infoUser configurable commands triggered on index changesyes infovia event handlersyes, via alarm monitoringCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication in HA-Clusteryes
MapReduce infoOffers an API for user-defined Map/Reduce methodsspark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency in HA-ClusterImmediate Consistency
Foreign keys infoReferential integritynoyes inforelationships in graphsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataoptimistic lockingACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlyesAccess rights for users and rolesyesBased on Windows Authentication
More information provided by the system vendor
SolrStardogTDengineVelocityDB
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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Comprehensive Comparison Between TDengine and TimescaleDB
5 June 2024

Mastering Memory Leak Detection in TDengine
31 May 2024

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More resources
SolrStardogTDengineVelocityDB
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