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

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

Editorial information provided by DB-Engines
NameGraph Engine infoformer name: Trinity  Xexclude from comparisonPostgres-XL  Xexclude from comparisonPrometheus  Xexclude from comparisonSolr  Xexclude from comparisonYTsaurus  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 LuceneYTsaurus is an open source platform for distributed storage and processing.
Primary database modelGraph DBMS
Key-value store
Relational DBMSTime Series DBMSSearch engineDocument store
Key-value store
Secondary database modelsDocument store
Spatial DBMS
Spatial 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
Score0.21
Rank#324  Overall
#45  Document stores
#48  Key-value stores
Websitewww.graphengine.iowww.postgres-xl.orgprometheus.iosolr.apache.orgytsaurus.tech
Technical documentationwww.graphengine.io/­docs/­manualwww.postgres-xl.org/­documentationprometheus.io/­docssolr.apache.org/­resources.htmlytsaurus.tech/­docs/­en
DeveloperMicrosoftApache Software FoundationYandex
Initial release20102014 infosince 2012, originally named StormDB201520062023
Current release10 R1, October 20189.6.1, May 2024
License infoCommercial or Open SourceOpen Source infoMIT LicenseOpen Source infoMozilla public licenseOpen Source infoApache 2.0Open Source infoApache Version 2Open Source infoApache License, Version 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 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)Ubuntu
Data schemeyesyesyesyes infoDynamic Fields enables on-the-fly addition of new fields
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 indexed
SQL infoSupport of SQLnoyes infodistributed, parallel query executionnoSolr Parallel SQL InterfaceYQL, an SQL-based language, is supported
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
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++
Go
Java
JavaScript
Python
Server-side scripts infoStored proceduresyesuser defined functionsnoJava plugins
Triggersnoyesnoyes infoUser configurable commands triggered on index changes
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 reduceyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneEventual Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infoMVCCnooptimistic lockingACID
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-standardnoyesAccess Control Lists

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More resources
Graph Engine infoformer name: TrinityPostgres-XLPrometheusSolrYTsaurus
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