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DBMS > DataFS vs. Solr vs. SurrealDB vs. TDengine vs. TinkerGraph

System Properties Comparison DataFS vs. Solr vs. SurrealDB vs. TDengine vs. TinkerGraph

Editorial information provided by DB-Engines
NameDataFS  Xexclude from comparisonSolr  Xexclude from comparisonSurrealDB  Xexclude from comparisonTDengine  Xexclude from comparisonTinkerGraph  Xexclude from comparison
DescriptionAll data is stored inside objects which are linked by so-called link attributes. Objects consist of classes which can be extended and de-extended at runtime. Graphs can be defined with a struct.A widely used distributed, scalable search engine based on Apache LuceneA fully ACID transactional, developer-friendly, multi-model DBMSTime Series DBMS and big data platformA lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 API
Primary database modelObject oriented DBMSSearch engineDocument store
Graph DBMS
Time Series DBMSGraph DBMS
Secondary database modelsGraph DBMSSpatial DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.06
Rank#354  Overall
#15  Object oriented DBMS
Score42.91
Rank#24  Overall
#3  Search engines
Score0.86
Rank#203  Overall
#34  Document stores
#18  Graph DBMS
Score2.60
Rank#107  Overall
#8  Time Series DBMS
Score0.08
Rank#348  Overall
#35  Graph DBMS
Websitenewdatabase.comsolr.apache.orgsurrealdb.comgithub.com/­taosdata/­TDengine
tdengine.com
tinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlin
Technical documentationdev.mobiland.com/­Overview.xspsolr.apache.org/­resources.htmlsurrealdb.com/­docsdocs.tdengine.com
DeveloperMobiland AGApache Software FoundationSurrealDB LtdTDEngine, previously Taos Data
Initial release20182006202220192009
Current release1.1.263, October 20229.6.0, April 2024v1.5.0, May 20243.0, August 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2Open SourceOpen Source infoAGPL V3, also commercial editions availableOpen Source infoApache 2.0
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 languageJavaRustCJava
Server operating systemsWindowsAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)Linux
macOS
Windows
Linux
Windows
Data schemeClasses, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)yes infoDynamic Fields enables on-the-fly addition of new fieldsschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyes 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.noyesnono
Secondary indexesnoyes infoAll search fields are automatically indexednono
SQL infoSupport of SQLnoSolr Parallel SQL InterfaceSQL-like query languageStandard SQL with extensions for time-series applicationsno
APIs and other access methods.NET Client API
Proprietary client DLL
WinRT client
Java API
RESTful HTTP/JSON API
GraphQL
RESTful HTTP API
WebSocket
JDBC
RESTful HTTP API
TinkerPop 3
Supported programming languages.Net
C
C#
C++
VB.Net
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Deno
Go
JavaScript (Node.js)
Rust
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
Groovy
Java
Server-side scripts infoStored proceduresJava pluginsnono
Triggersno, except callback-events from server when changes happenedyes infoUser configurable commands triggered on index changesyes, via alarm monitoringno
Partitioning methods infoMethods for storing different data on different nodesProprietary Sharding systemShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistencynone
Foreign keys infoReferential integrityyesnonoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDoptimistic lockingACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesno
Durability infoSupport for making data persistentyesyesyesyesoptional
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlWindows-Profileyesyes, based on authentication and database rulesyesno
More information provided by the system vendor
DataFSSolrSurrealDBTDengineTinkerGraph
Specific characteristicsTDengineā„¢ 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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More resources
DataFSSolrSurrealDBTDengineTinkerGraph
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