Algolia vs Solr comparison

Algolia and Apache are both solutions in the Search as a Service category. Algolia is ranked #2 with an average rating of 8.6, while Apache is ranked #10. Algolia holds a 9.4% mindshare in SS, compared to Apache’s 4.9% mindshare. Additionally, 100% of Algolia users are willing to recommend the solution, compared to 100% of Apache users who would recommend it.

Algolia

Read 12 Algolia reviews

1,149 Views
1,149 Comparison Views

100% willing to recommend

Solr

Read 4 Solr reviews

684 Views
684 Comparison Views

100% willing to recommend

Algolia

Solr

Comparison Buyer's Guide

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Executive Summary

We performed a comparison between Algolia and Solr based on real PeerSpot user reviews.

Find out in this report how the two Search as a Service solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.

To learn more, read our detailed Algolia vs. Solr Report (Updated: March 2026).

Buyer's Guide

Algolia vs. Solr

March 2026

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Helped 885,880 peers since 2012

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Categories and Ranking

Algolia

Ranking in Search as a Service

2nd

Average Rating

8.6

Number of Reviews

Ranking in other categories

No ranking in other categories

Solr

Ranking in Search as a Service

10th

Average Rating

7.8

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of April 2026, in the Search as a Service category, the mindshare of Algolia is 9.4%, up from 8.5% compared to the previous year. The mindshare of Solr is 4.9%, down from 6.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Search as a Service Mindshare Distribution
Product	Mindshare (%)
Algolia	9.4%
Solr	4.9%
Other	85.7%

Search as a Service

Featured Reviews

Kozykorpesh Tolep

software engineer at a non-tech company with 1,001-5,000 employees

Real-time search has improved device monitoring and now needs better relevance tuning and cost clarity

One area for Algolia's improvement is the relevance of tuning and configuration because it can take some time to properly configure ranking and filtering for a specific use case. If you are new to this or do not have experience with the tuning and configuration of the search, that can take some time to adapt and use this search engine. To make it better, I would appreciate improvement in the relevance of tuning and configuration, as it takes time to properly configure ranking and filtering. I can also say that transparency for scaling usage and cost transparency for when you are scaling would be beneficial.

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it_user823641

Senior Search Engineer at a financial services firm with 51-200 employees

The Natural Language Search capability is helpful and intuitive for our users

The initial setup is complex because this is a distributed system, and you have to make sure that every individual node is aware of every other node in existence. This search engine has a large capacity, so you need to make sure that there is enough buffer space. We took one month to deploy and perform a fresh setup. Our strategy was to start with a local data center, before venturing into cross data center replicas. A staff size of two to four people is suitable for deploying and maintaining the solution, depending upon the scale. They would set up the solution and put monitoring in place for the indexing jobs, as well as design the schema so that the data can feed well.

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Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"It's scalable. It can be scaled massively."

"Algolia provides extremely fast search performance, which is particularly useful for projects with big data and many data points."

"Algolia has impacted my organization positively in a good way, as it has shaped the product and it feels as though the product has a premium search engine behind it."

"We were working with search products, brands, and different attributes specific to the product; it's faster and easier. The implementation is easy."

"It has many fine-tuning configurations. Essentially, every single piece of information you pass through it is a free document you can tailor."

"The Algolia solution really helped us to improve our conversion rate and click-through rate."

"Algolia provides some cool functionalities like filtering, indexing, and searching."

"The tool is easy to use, but you need to know how it works."

More Algolia pros

"Sharding data, Faceting, Hit Highlighting, parent-child Block Join and Grouping, and multi-mode platform are all valuable features."

"It has improved our search ranking, relevancy, search performance, and user retention."

"One of the best aspects of the solution is the indexing; it's already indexed to all the fields in the category, so we don't need to spend so much extra effort to do the indexing, which is great."

"One of the best aspects of the solution is the indexing. It's already indexed to all the fields in the category. We don't need to spend so much extra effort to do the indexing. It's great."

"We use Solr to index over 600k documents; it's very fast, flexible to use, and the speed of indexing individual documents has been great."

"The most valuable feature is the ability to perform a natural language search."

"This is an infinitely scalable product with state-of-the-art technology, and the value of Natural Language Search is tremendous."

"It has improved our search ranking, relevancy, search performance, and user retention."

Cons

"The deployment could be easier for beginners."

"When indexing the products, one may face some issues with the tool."

"Algolia is not adopted that much, and it would be great if it were made more popular."

"The biggest issue is cost; Algolia gets expensive fast as your record count and search operations grow."

"The high cost of the product is an area of concern where improvements are required."

"The documentation for the service is not as good as it could be."

"I think they could improve the analytics view."

"I believe that Algolia could be better economically; it should work in a way whereby you can provide better pricing patterns."

More Algolia cons

"Encountered issues with both master-slave and SolrCloud. Indexing and serving traffic from same collection has very poor performance. Some components are slow for searching."

"Encountered issues with both master-slave and SolrCloud. Indexing and serving traffic from same collection has very poor performance; some components are slow for searching."

"With increased sharding, performance degrades. Merger, when present, is a bottle-neck. Peer-to-peer sync has issues in SolrCloud when index is incrementally updated."

"The performance for this solution, in terms of queries, could be improved."

"Memory utilization could be better but it is an industrial strength tool so some overhead is to be expected."

"The solution's grammar and syntax should be easier."

"SolrCloud stability, indexing and commit speed, and real-time Indexing need improvement."

More Solr cons

Pricing and Cost Advice

"In terms of the cost of Algolia, the tool is really expensive for us in Brazil since it comes to about half a million dollars."

"I have heard that Algolia is an expensive solution."

"For any developer starting out, it is worth it."

"We are currently on a contract with Algolia for licensing and price."

"Algolia is a cool, super-easy-to-use, and affordable tool."

"The product is cheap."

"The only costs in addition to the standard licensing fees are related to the hardware, depending on whether it is cloud-based, or on-premise."

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Top Industries

By visitors reading reviews

Comms Service Provider

11%

Computer Software Company

11%

Performing Arts

Outsourcing Company

Computer Software Company

13%

Retailer

Manufacturing Company

Comms Service Provider

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	7
Midsize Enterprise	2
Large Enterprise	6

No data available

Questions from the Community

What is your experience regarding pricing and costs for Algolia?

The pricing, setup cost, and licensing for Algolia are based on a pay-as-you-go model, which is very efficient. The costs are very transparent and have detailed breakdowns for any kind of queries c...

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What needs improvement with Algolia?

The cost scales aggressively as the record count and search operations grow. Keeping the index in sync with our source of truth incurs friction. We build custom pipelines to handle incremental upda...

See all answers

What is your primary use case for Algolia?

Algolia powers the font search browse experience at Monotype, where users can search by font name, style, classification, designer, foundry, and faceted filtering with typo-tolerance, and it possib...

See all answers

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Comparisons

Elastic Search vs Algolia

Compared 35% of the time

Constructor.io vs Algolia

Compared 13% of the time

Amazon OpenSearch Service vs Algolia

Compared 10% of the time

Azure AI Search vs Algolia

Compared 9% of the time

Amazon AWS CloudSearch vs Algolia

Compared 8% of the time

More Algolia Competitors

Elastic Search vs Solr

Compared 25% of the time

Azure AI Search vs Solr

Compared 21% of the time

Amazon AWS CloudSearch vs Solr

Compared 16% of the time

Amazon OpenSearch Service vs Solr

Compared 8% of the time

Amazon Athena vs Solr

Compared 7% of the time

More Solr Competitors

Product Reports

Buyer's Guide

Algolia

April 2026

Download Algolia product report

Buyer's Guide

Search as a Service

March 2026

Download Solr product report

Overview

Algolia helps businesses across industries quickly create relevant, scalable, and lightning fast search and discovery experiences. Algolia’s mission is to make every search interaction meaningful and rewarding. Our hosted platform reduces the complexity of building relevant digital experiences. More than 7,500 companies like WW, Lacoste, Twitch, Medium and Stripe rely on Algolia’s enterprise-grade APIs to manage over 60 billion search queries a month.

Founded in 2012, Algolia is backed by $74M in funding from Accel Partners, Alven Capital, Point Nine Capital and Storm Ventures. The team is headquartered in San Francisco with offices in Paris, London, New York, and Atlanta. To learn more, visit www.algolia.com.

Algolia

Solr is highly reliable, scalable and fault tolerant, providing distributed indexing, replication and load-balanced querying, automated failover and recovery, centralized configuration and more. Solr powers the search and navigation features of many of the world's largest internet sites.

Apache

Sample Customers

Birchbox, Twitch, Lacoste, Stripe, WW, Medium, Cousera, National Geographic, Zendesk, Magento

eHarmony, Sears, StubHub, Best Buy, Instagram, Netflix, Disney, AT&T, eBay, AOL, Bloomberg, Comcast, Ticketmaster, Travelocity, MTV Networks

Buyer's Guide

Algolia vs. Solr

March 2026

Free Report: Algolia vs. Solr

Find out what your peers are saying about Algolia vs. Solr and other solutions. Updated: March 2026.

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We monitor all Search as a Service reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.