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DBMS > Apache Solr vs. Pinecone

System Properties Comparison Apache Solr vs. Pinecone

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Our visitors often compare Apache Solr and Pinecone with Elasticsearch, OpenSearch and PostgreSQL.

Editorial information provided by DB-Engines
NameApache Solr  Xexclude from comparisonPinecone  Xexclude from comparison
DescriptionA widely used distributed, scalable search engine based on Apache LuceneA managed, cloud-native vector database
Primary database modelSearch engineVector DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score32.32
Rank#24  Overall
#3  Search engines
Score3.20
Rank#81  Overall
#5  Vector DBMS
Websitesolr.apache.orgwww.pinecone.io
Technical documentationsolr.apache.org/­resources.htmldocs.pinecone.io/­docs/­overview
DeveloperApache Software FoundationPinecone Systems, Inc
Initial release20062019
Current release9.6.1, May 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2commercial
Cloud-based only infoOnly available as a cloud servicenoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava
Server operating systemsAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)hosted
Data schemeyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or dateyes infosupports customizable data types and automatic typingString, Number, Boolean
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
Secondary indexesyes infoAll search fields are automatically indexed
SQL infoSupport of SQLSolr Parallel SQL Interfaceno
APIs and other access methodsJava API
RESTful HTTP/JSON API
RESTful HTTP API
Supported programming languages.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Python
Server-side scripts infoStored proceduresJava plugins
Triggersyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsspark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Foreign keys infoReferential integrityno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlyes

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More resources
Apache SolrPinecone
DB-Engines blog posts

Vector databases
2 June 2023, Matthias Gelbmann

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