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DBMS > Pinecone vs. Solr vs. TinkerGraph vs. YTsaurus

System Properties Comparison Pinecone vs. Solr vs. TinkerGraph vs. YTsaurus

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Editorial information provided by DB-Engines
NamePinecone  Xexclude from comparisonSolr  Xexclude from comparisonTinkerGraph  Xexclude from comparisonYTsaurus  Xexclude from comparison
DescriptionA managed, cloud-native vector databaseA widely used distributed, scalable search engine based on Apache LuceneA lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 APIYTsaurus is an open source platform for distributed storage and processing.
Primary database modelVector DBMSSearch engineGraph DBMSDocument store
Key-value store
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.23
Rank#92  Overall
#3  Vector DBMS
Score41.02
Rank#24  Overall
#3  Search engines
Score0.13
Rank#345  Overall
#35  Graph DBMS
Score0.21
Rank#324  Overall
#45  Document stores
#48  Key-value stores
Websitewww.pinecone.iosolr.apache.orgtinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlinytsaurus.tech
Technical documentationdocs.pinecone.io/­docs/­overviewsolr.apache.org/­resources.htmlytsaurus.tech/­docs/­en
DeveloperPinecone Systems, IncApache Software FoundationYandex
Initial release2019200620092023
Current release9.6.1, May 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2Open Source infoApache 2.0Open Source infoApache License, Version 2.0
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaC++
Server operating systemshostedAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)Ubuntu
Data schemeyes infoDynamic Fields enables on-the-fly addition of new fieldsschema-free
Typing infopredefined data types such as float or dateString, Number, Booleanyes 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.noyesnono
Secondary indexesyes infoAll search fields are automatically indexedno
SQL infoSupport of SQLnoSolr Parallel SQL InterfacenoYQL, an SQL-based language, is supported
APIs and other access methodsRESTful HTTP APIJava API
RESTful HTTP/JSON API
TinkerPop 3
Supported programming languagesPython.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Groovy
Java
C++
Go
Java
JavaScript
Python
Server-side scripts infoStored proceduresJava pluginsno
Triggersyes infoUser configurable commands triggered on index changesno
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reducenoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistencynone
Foreign keys infoReferential integritynoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataoptimistic lockingnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesnoyes
Durability infoSupport for making data persistentyesyesoptionalyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlyesnoAccess Control Lists

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