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DBMS > Graph Engine vs. Postgres-XL vs. Prometheus vs. Solr vs. TDengine

System Properties Comparison Graph Engine vs. Postgres-XL vs. Prometheus vs. Solr vs. TDengine

Editorial information provided by DB-Engines
NameGraph Engine infoformer name: Trinity  Xexclude from comparisonPostgres-XL  Xexclude from comparisonPrometheus  Xexclude from comparisonSolr  Xexclude from comparisonTDengine  Xexclude from comparison
DescriptionA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineBased on PostgreSQL enhanced with MPP and write-scale-out cluster featuresOpen-source Time Series DBMS and monitoring systemA widely used distributed, scalable search engine based on Apache LuceneTime Series DBMS and big data platform
Primary database modelGraph DBMS
Key-value store
Relational DBMSTime Series DBMSSearch engineTime Series DBMS
Secondary database modelsDocument store
Spatial DBMS
Spatial DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.67
Rank#232  Overall
#21  Graph DBMS
#34  Key-value stores
Score0.53
Rank#254  Overall
#117  Relational DBMS
Score7.69
Rank#50  Overall
#3  Time Series DBMS
Score41.02
Rank#24  Overall
#3  Search engines
Score2.68
Rank#106  Overall
#9  Time Series DBMS
Websitewww.graphengine.iowww.postgres-xl.orgprometheus.iosolr.apache.orggithub.com/­taosdata/­TDengine
tdengine.com
Technical documentationwww.graphengine.io/­docs/­manualwww.postgres-xl.org/­documentationprometheus.io/­docssolr.apache.org/­resources.htmldocs.tdengine.com
DeveloperMicrosoftApache Software FoundationTDEngine, previously Taos Data
Initial release20102014 infosince 2012, originally named StormDB201520062019
Current release10 R1, October 20189.6.1, May 20243.0, August 2022
License infoCommercial or Open SourceOpen Source infoMIT LicenseOpen Source infoMozilla public licenseOpen Source infoApache 2.0Open Source infoApache Version 2Open Source infoAGPL V3, also commercial editions available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation language.NET and CCGoJavaC
Server operating systems.NETLinux
macOS
Linux
Windows
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)Linux
Windows
Data schemeyesyesyesyes infoDynamic Fields enables on-the-fly addition of new fieldsyes
Typing infopredefined data types such as float or dateyesyesNumeric data onlyyes 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.noyes infoXML type, but no XML query functionalityno infoImport of XML data possibleyesno
Secondary indexesyesnoyes infoAll search fields are automatically indexedno
SQL infoSupport of SQLnoyes infodistributed, parallel query executionnoSolr Parallel SQL InterfaceStandard SQL with extensions for time-series applications
APIs and other access methodsRESTful HTTP APIADO.NET
JDBC
native C library
ODBC
streaming API for large objects
RESTful HTTP/JSON APIJava API
RESTful HTTP/JSON API
JDBC
RESTful HTTP API
Supported programming languagesC#
C++
F#
Visual Basic
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
.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 proceduresyesuser defined functionsnoJava pluginsno
Triggersnoyesnoyes infoUser configurable commands triggered on index changesyes, via alarm monitoring
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioninghorizontal partitioningShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoby Federationyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneEventual Consistency
Foreign keys infoReferential integritynoyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infoMVCCnooptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardnoyesyes
More information provided by the system vendor
Graph Engine infoformer name: TrinityPostgres-XLPrometheusSolrTDengine
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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More resources
Graph Engine infoformer name: TrinityPostgres-XLPrometheusSolrTDengine
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