Apache Solr vs. Pinecone

Apache Solr

Apache Solr

41 Reviews and Ratings

Pinecone

Pinecone

2 Reviews and Ratings

Overview
Product	Rating	Most Used By	Product Summary	Starting Price
Apache Solr	Score 8.9 out of 10	N/A	Apache Solr is an open-source enterprise search server.	N/A
Pinecone	Score 5.5 out of 10	N/A	Pinecone is a fully managed vector database that makes it easy to add vector search to production applications. It combines state-of-the-art vector search libraries, advanced features such as filtering, and distributed infrastructure to provide high performance and reliability at any scale.	$0.01 per hour

Pricing

Apache Solr

Pinecone

Editions & Modules

No answers on this topic

Enterprise: $0.01
per hour

Offerings

Pricing Offerings
Apache Solr	Pinecone
Free Trial
No	No
Free/Freemium Version
No	Yes
Premium Consulting/Integration Services
No	No

Entry-level Setup Fee

No setup fee

No setup fee

Additional Details

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More Pricing Information

Community Pulse
	Apache Solr	Pinecone
Considered Both Products	Apache Solr Verified User Anonymous Chose Apache Solr Apache Solr is a ready-to-use product addressing specific use cases such as keyword searches from a huge set of data documents. Incentivized Helpful? TN trang nguyen Software Engineer Chose Apache Solr We have considering AWS search and Elastic search but decide to go with Solr as we need high speed and flexible query, and so far it meets all our requirement so we still continue with Solr. Incentivized Helpful? Richard Davies Web Application Developer Chose Apache Solr We tried to use both Elasticsearch and Swiftype with Drupal 8 but there are currently no good modules that integrate Drupal with those solutions. So Solr was really the only option for a Drupal 8 web site. It's not as easy to learn or use as Swiftype, but in the end I think it … Incentivized Helpful? Robyne Gallacher Associate Software Tester Chose Apache Solr Before using Solr, we used a self-made search engine. Solr has helped us increase our capacity to serve our customers the results they are looking for easily without breaking down. Our previous platform was not dynamic enough to accommodate our growing traffic or smart enough … Incentivized Helpful? Kelvin Yeo Senior Search Engineer Chose Apache Solr Azure Search is not as mature as Apache Solr at this point. So the range of query flexibility is less than Solr. Also, when indexing content goes beyond 1 TB, it might become costly for Azure Search. Incentivized Helpful? Bharadwaj (Brad) Chivukula Sr.Technical Manager/Delivery Manager Chose Apache Solr Between Solr and ElasticSearch, there is a constant struggle to pick the best one. ElasticSearch is part of ELK and ties in well with LogStash and Kibana which makes it great for logs and big data stuff. Add some logs and see which works best for your particular access methods … Incentivized Helpful? Peter Feddo Senior Front End Developer Chose Apache Solr We switched from search indexes stored in mysql to soar and it's made a world of difference for our growing businesses. The relational databases are very poor for handling the complex data searches require and Solr delivered all the tools we need to get the performance our end … Incentivized Helpful? Verified User Anonymous Chose Apache Solr Apache Solr in general stacks up very well to its competitors, it provides much of the same features and performance and has the benefits of being an open-source project with an active contributor base that works consistently and improves the platform. Depending on your setup … Incentivized Helpful? Philippe Kozak Senior Consultant Chose Apache Solr Some people on my team tried MondoDB and had several problems (don't remember which ones). Elasticsearch would be a good choice but we didn't have it in our minds when we made the choice. Incentivized Helpful? LG Luiz Eduardo Garcia System Administrator Chose Apache Solr We tryed to promote Redis as cache solution for application, in order to replace Apache Solr, but it won't go well. Redis best pratices requires some more computer resources. With Elastic Search, the use case was another, and don't compete with Apache Solr. Incentivized Helpful?	Pinecone No answer on this topic

Best Alternatives
	Apache Solr	Pinecone
Small Businesses	Yext Score 8.9 out of 10	Redis Software Score 8.4 out of 10
Medium-sized Companies	Guru Score 9.5 out of 10	Redis Software Score 8.4 out of 10
Enterprises	Guru Score 9.5 out of 10	Redis Software Score 8.4 out of 10
All Alternatives	View all alternatives	View all alternatives

User Ratings
	Apache Solr	Pinecone
Likelihood to Recommend	9.0 (0 ratings)	- (0 ratings)

User Testimonials
	Apache Solr	Pinecone
Likelihood to Recommend	Very effective for end-user searching applications and for generating search results. Also very well suited to those looking for high reliability and performance. If [you're doing] fuzzy searching or if you are working on a smaller end-user application or an internal application that does not require high performance and flexible/adapting searching then it may not be necessary to use Solr. Incentivized Verified User Anonymous Read full review	No answers on this topic
Pros	Faceted navigation and field collapsing/grouping : filtering and quick results were what we needed for our websites. Our customers needed to have this functionalities for good and efficient results. We tested them with our customers' registered searches (they received all new goods matching with their registered searches by emails and/or mobile push). Results were incredible by comparison with our old system (old MySQL requests). Note : we didn't put all our data in Solr. Just what we need for searching uses. Other data stayed in our MySQL database. Auto-suggest : our old auto-suggest wasn't performing well. With Apache Solr, our new one was worked really well ! The suggestions came quickly and suggestions were good. We also extended auto-suggestion with geo-spatial data and it worked well. Hit highlighting : we used this functionality and we didn't have problem and nasty surprise. Keep all data status during data upgrading (see next details for improvements) Philippe Kozak Senior Consultant Read full review	No answers on this topic
Cons	Ease of use -- this is not always the easier platform to configure. Developer Community -- There are not a whole lot of folks out there that understand this stuff so finding talent is difficult. Drupal 8 -- We've been frustrated with slow development on APIs for Drupal 8 integration. Incentivized Peter Feddo Senior Front End Developer Read full review	No answers on this topic
Usability	It takes some time to deploy and currectly maintein it. And also, to learn how to use and integrate in the enviroment as well. Once you get theses steps done, it usability is very simple, and almost of the time it don't require no further attention on it. Even for maintence, if you deploy it on a cluster mode, it is very reliable and easy to take one host down. Incentivized Luiz Eduardo Garcia System Administrator Read full review	No answers on this topic
Alternatives Considered	We switched from search indexes stored in MySQL to soar and it's made a world of difference for our growing businesses. The relational databases are very poor for handling the complex data searches require and Solr delivered all the tools we need to get the performance our end users are demanding. Incentivized Peter Feddo Senior Front End Developer Read full review	No answers on this topic
Return on Investment	It's enabled us to deliver fast, relevant search results on our new website. The site is still in beta and being actively developed so our complete ROI is still unknown. It integrates very well with Drupal so it has saved us from having to develop a custom solution. Incentivized Richard Davies Web Application Developer Read full review	No answers on this topic
ScreenShots		Pinecone Screenshots