Companies Using Algolia

We detect Algolia on 36,276 domains, including Siemens AG, Orange Group, Lockheed Martin. A detection means the technology is present on that domain, which for large organisations is often a single storefront or subdomain rather than a company-wide deployment. Among domains we matched to a company with a resolved industry, the most common is Retail (10.61%).

We detect 36,276 domains running Algolia across our monthly crawl of live business domains. Company data could be matched for 21,909 of them (60.4%), and every company-size, industry and country breakdown on this page describes that matched subset rather than the full detected base. A further 3,379 domains carried a Algolia detection previously and no longer do.

Algolia holds 21.63% of the Site Search category, ranking #2. This is a share of the domains we detect running a platform in this category — not a share of all websites, and not a share of spending — so it is not directly comparable to figures published on other denominators.

It depends on your stack. On Shopify or WooCommerce, storefront apps do the job: FiboSearch (43,926 domains), Doofinder (13,399), Searchanise (10,405), Klevu (10,028) and Boost Commerce (7,850). On a custom or headless front end, the real alternatives are self-hosted — Elasticsearch, Typesense and Meilisearch — which is also why they barely register in crawl data. That build-versus-buy decision, rather than another hosted API, is the choice Algolia usually contests.

United States leads with 9,671 matched Algolia domains, followed by France (1,603), United Kingdom (1,573), Australia (945), Canada (749). These are counts within the 21,909 domains we could match to a company record, not the full detected base.

The most common company size is 1-10 employees, representing 47.69% of the Algolia domains we could match to a company record and size — a subset of 21,909 matched companies, not of all 36,276 detected domains. This is followed by 11-50 employees (24.18%) and 51-200 employees (15.03%).

Among the Algolia domains we could match to a company with a known founding date, the largest group was founded in the 2010s (28.41%), followed by the 2020s (22.67%). That matched subset is drawn from 21,909 companies and is not representative of all 36,276 detected domains. This suggests Algolia is most popular among relatively young companies.

The ideal Algolia customer is: Company Size: 1-10 employees, Location: US, UK, or France, City: London, Paris, New York, Sydney, Founded: 2010-2019, Company Age: ~5-15 years old — based on our analysis of 21,909 enriched companies at TechnologyChecker.io.

Yes. Algolia hit unicorn status in July 2021 after a $150M Series D that valued the company at $2.25B. It was founded in 2012 in Paris by Nicolas Dessaigne and Julien Lemoine, went through Y Combinator's W14 batch, and has raised $335M total from investors like Accel and Index Ventures, per Tracxn.

There's a free Build plan with 10,000 searches/month and 100,000 records. After that, Grow costs $0.50 per 1,000 searches. Grow Plus (with AI features like NeuralSearch) costs $1.75 per 1,000 searches. Enterprise pricing (Elevate plan) is custom, per algolia.com/pricing as of October 2025.

They solve the same problem with opposite operational models. Algolia is a hosted API with relevance tuning and sub-100ms responses built in; Elasticsearch is a self-hosted engine you run, scale and tune yourself. Our data cannot compare them fairly — Elasticsearch runs server-side and leaves no client-side trace, so it barely registers in crawl data while Algolia shows 36,276 domains. The practical trade-off is engineering time against subscription cost, and Algolia's customer base skews to teams that chose to spend money rather than headcount.

Algolia handles most computation at indexing time rather than query time, so searches execute against pre-optimized data structures. The engine is built in C++ and runs as an NGINX module. Algolia also controls the full stack end-to-end, including a global network of data centers that keeps results physically close to users.

Retail leads at 10.61% of the 21,909 Algolia domains we can match to a company, followed by Software Development (6.61%) and — distinctively — Motor Vehicle Manufacturing at 5.64%. Adding Automotive (1.8%), the vehicle cluster reaches 7.44%, driven by parts catalogues where fitment lookup across hundreds of thousands of SKUs is a genuine search problem. Technology and Internet (4.59%) and Financial Services (2.53%) follow.

It can be. The free tier covers 10,000 searches/month. After that, Grow is $0.50 per 1,000 searches plus $0.40 per 1,000 records. Do the math: a site with 1M monthly searches and 500K records pays about $655/month before AI features. Pricing is the #1 complaint on G2 (33 mentions for "expensive pricing" plus 20 for "unclear pricing structure").

Yes, through an official integration, but our data shows it is not where Algolia's customers are: Shopify appears on just 3.56% of Algolia domains and WooCommerce on 3.85%, despite retail being its largest industry at 10.61%. Algolia's retail base runs custom and headless storefronts, reflected in high React Router (11.07%), React (7.81%) and Vue.js (6.68%) co-occurrence. Shopify merchants who want better search typically install a storefront app such as Searchanise or Boost Commerce instead.

Yes, and the customer profile supports it: 12.41% of matched Algolia companies have more than 200 employees and 0.93% exceed 10,000, a more enterprise-weighted distribution than most developer tools we track. Algolia reports processing 1.75 trillion searches a year across 18,000+ customers. The automotive cluster (7.44% of the base) is a useful proof point, since vehicle parts catalogues run to hundreds of thousands of SKUs with complex fitment rules.

Algolia is a standalone, API-first search platform that works with any tech stack and delivers sub-100ms results. Google Vertex AI Search is tied to the Google Cloud ecosystem. Algolia offers more flexibility in implementation and doesn't require a GCP commitment, while Vertex uses Google's AI infrastructure for semantic search at scale.

Meilisearch is an open-source search engine you self-host (with an optional cloud tier); Algolia is a fully hosted API. The comparison our data can and cannot make is instructive: Algolia shows 36,276 detected domains because its API is called from the browser, while Meilisearch typically runs server-side and leaves no client-side trace, so crawl data systematically undercounts it. The trade-off is operational — Meilisearch trades subscription cost for infrastructure you run yourself, and that build-versus-buy decision, rather than another hosted API, is what Algolia usually competes against.

Our switching data cannot confirm that they do, at least not to anyone we can see. No corridor out of Algolia beats the rate among domains that stayed, and against 3,379 total departures the largest flow to a named competitor was 34 domains — to Algolia's own free DocSearch product. Churn is 9.3%, among the lowest in our recent refresh work. Where customers do leave, the usual destination is a self-hosted Elasticsearch, Typesense or Meilisearch cluster, which runs server-side and leaves no client-side trace for us to detect. Cost at scale is the commonly cited reason.

Official API clients exist for JavaScript, Python, PHP, Ruby, Java, Kotlin, Swift, C#, Go, and Scala. Algolia also ships InstantSearch UI libraries for React, Vue.js, Angular, and vanilla JS. In our tech stack data, AngularJS (10.0%) and Vue.js (7.1%) are the most common frontend frameworks among Algolia customers, with Alpine.js (2.6%) growing fast.