Algolia vs ElasticSuite: Which Search Should Your Magento Store Run?

Search is where a lot of Magento revenue is won or lost. Shoppers who use search convert far better than those who do not, and a weak search box quietly loses them. The decision is usually framed as Algolia versus ElasticSuite. We have run both in production, and our answer is not pick one. Here is the honest comparison and the setup we actually use.

What ElasticSuite is

ElasticSuite is the popular open-source search and merchandising layer for Magento, built on Elasticsearch. It replaces Magento’s weak native search and, just as importantly, powers layered navigation (the filters), category browsing, virtual categories and merchandising rules. It is free, in that you self-host the Elasticsearch behind it, and it is deeply integrated into Magento. Its cost is operational: you run and tune the cluster.

What Algolia is

Algolia is a hosted search-as-a-service. You push your catalog to Algolia’s infrastructure and it gives you extremely fast, typo-tolerant, relevance-tuned instant search and autocomplete, with a polished search experience out of the box. It is not free: you pay by records and searches, so the cost scales with catalog size and traffic. What you buy is best-in-class search speed and relevance without running the infrastructure yourself.

The comparison most posts stop at

Side by side: ElasticSuite is free, self-hosted, and owns browsing and merchandising; Algolia is paid, hosted, and owns the search box. ElasticSuite gives you total control and no per-query cost but needs tuning; Algolia gives you elite search with almost no tuning but a bill that grows with traffic. Forced to pick one, most guides say Algolia for search-heavy stores with budget, ElasticSuite for cost-conscious stores that want control. Both are defensible. But the choice is a false binary.

What we actually do: run both

After running both in production, our setup is to use each where it is strongest. Algolia powers the search experience: the search box, autocomplete, and instant results, where speed and relevance most directly move conversion and where a great experience pays for itself. ElasticSuite powers everything else: category pages, layered navigation, merchandising and virtual categories, the high-volume browsing surfaces where Algolia’s per-search pricing would pile up and where ElasticSuite’s free, deeply-integrated model wins. You get elite search and cost-efficient browsing, the best of both worlds.

The honest trade-off: running both means indexing the catalog into two engines and a bit more architecture to keep them in sync. It is more moving parts, so it is not for every store. For a large catalog where search drives real revenue, the split pays for itself. For a small store, one engine, usually ElasticSuite, is plenty. This is exactly the kind of it-depends-on-your-catalog-and-traffic call we would rather make with your numbers than in the abstract.

How this connects to speed and B2B

Two connections worth naming. First, search is a performance surface: a fast search box is part of a fast store, and we treat it that way, which we covered in our Core Web Vitals guide. Second, in B2B this gets harder, because search has to respect per-company catalogs and prices; we wrote about that collision in the closed B2B catalog piece. Whichever engine you run, it has to be correct as well as fast.

The setup we recommend

Both engines are part of how we build stores in the Liquid Framework, so we are not selling you one because it is the only one we know. If your Magento search is slow, irrelevant, or costing more than it should, book a free strategy call, tell us your catalog size and traffic, and we will tell you whether you want ElasticSuite, Algolia, or both.