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 885,311 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 March 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."

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

"The tool is worth the money, and I have seen an ROI."

"Since Algolia is a SaaS solution, we didn't have to maintain servers, look at the indexes, and monitor services."

"Algolia has positively impacted our organization by allowing us a faster time to market."

"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."

"The tool provides users with personalization features that can be used to improve user interface."

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

More Algolia pros

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

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

"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."

"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."

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

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

"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."

Cons

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

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

"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."

"I think they could improve the analytics view."

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

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

"The deployment could be easier for beginners."

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

More Algolia cons

"It does take a little bit of effort to use and understand the solution. It would help us a lot if the solution offered up more documentation or tutorials to help with training or troubleshooting."

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

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

"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."

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

"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."

More Solr cons

Pricing and Cost Advice

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

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

"The product is cheap."

"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."

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

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

"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

13%

Computer Software Company

11%

Performing Arts

Outsourcing Company

Computer Software Company

15%

Manufacturing Company

Retailer

Outsourcing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	8
Midsize Enterprise	1
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 37% of the time

Constructor.io vs Algolia

Compared 14% 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

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Elastic Search vs Solr

Compared 26% of the time

Azure AI Search vs Solr

Compared 21% of the time

Amazon AWS CloudSearch vs Solr

Compared 15% of the time

Amazon Athena vs Solr

Compared 8% of the time

Amazon OpenSearch Service vs Solr

Compared 8% of the time

More Solr Competitors

Product Reports

Buyer's Guide

Algolia

March 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.