Algolia vs Exa comparison

Algolia and Exa are both solutions in the Search as a Service category. Algolia is ranked #2 with an average rating of 8.6, while Exa is ranked #15. Algolia holds a 9.4% mindshare in SS, compared to Exa’s 0.9% mindshare. Additionally, 100% of Algolia users are willing to recommend the solution.

Algolia

Read 12 Algolia reviews

1,149 Views
1,149 Comparison Views

100% willing to recommend

Exa

185 Views
87 Comparison Views

Algolia

Exa

Comparison Buyer's Guide

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Executive Summary

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

Find out what your peers are saying about Elastic, Algolia, Amazon Web Services (AWS) and others in Search as a Service.

To learn more, read our detailed Search as a Service Report (Updated: March 2026).

Buyer's Guide

Search as a Service

March 2026

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Helped 885,789 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

Exa

Ranking in Search as a Service

15th

Average Rating

0.0

Number of Reviews

Ranking in other categories

Indexing and Search (22nd)

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 Exa is 0.9%, up from 0.2% 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%
Exa	0.9%
Other	89.7%

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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Top Industries

By visitors reading reviews

Comms Service Provider

12%

Computer Software Company

11%

Performing Arts

Outsourcing Company

No data available

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...

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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...

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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

Glean Platform vs Exa

Compared 100% of the time

More Exa Competitors

Product Reports

Buyer's Guide

Algolia

April 2026

Download Algolia product report

Buyer's Guide

Indexing and Search

March 2026

Download Exa 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

The search engine for AI. The Exa API finds the best content on the web using embeddings.
AI is intelligent. Exa makes it knowledgeable. Exa connects your AI to the world's knowledge so it knows everything and is up-to-date.
Features built for any AI use case. Embedding search that understands semantic meaning, not just keywords. Scrape the full, cleaned content from any webpage. Find similar results using a URL, or a very long piece of text. Gather huge chunks of the web for your AI to process. New urls crawled every minute so that your AI is always up-to-date. Search over any domain, date range, or data category.

Exa

Sample Customers

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

Information Not Available

Find out what your peers are saying about Elastic, Algolia, Amazon Web Services (AWS) and others in Search as a Service. 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.