Algolia alternative · Self-hosted · One-time license

The Algolia alternative you buy once — and host yourself.

Dartfind is a catalog search engine you install on your own server and own outright. One payment covers the license — no per-query fees, no per-record tiers, no bill that grows with your traffic. It reads what customers actually type — typos, partial SKUs, glued words — the same way an instant-search box should.

Built for distributors, wholesalers and e-commerce with large catalogs — from 10,000 to 100 million records.

Why teams go looking for an Algolia alternative.

The bill

It grows with your success

Per-query and per-record pricing means every traffic spike, every catalog expansion, every good month shows up on the invoice. Search costs scale with revenue instead of staying flat.

The data

Your catalog lives in their cloud

Algolia is SaaS-only: your product data, prices and stock levels leave your network to be indexed on their infrastructure. For some security policies and data-residency rules, that ends the conversation.

The model

Renting forever

Stop paying, search stops working. After years of subscription fees you own nothing. Search is the only part of the stack most companies still rent — and the rent never ends.

Dartfind vs Algolia, side by side.

DartfindAlgolia
PricingOne-time license, owned outrightPer query and per record, forever — grows with traffic
HostingYour server, on-premise or your cloudTheir cloud only
Data locationNever leaves your network, works offlineIndexed on Algolia infrastructure
Typo toleranceNative — typos, partial SKUs, glued words, no rulesGood, within plan limits and configuration
InfrastructureOne ordinary x86 serverNone of yours — and none of your control
Long-term costFixed. Price never grows with catalog or trafficRecurring, scales with usage

When Algolia is still the right choice.

A comparison table where one column wins every row is an ad. Three cases where we’d tell you to stay put:

If your catalog is large, your traffic is real, and the per-query invoice keeps climbing — that's the profile where a one-time license wins the math in the first year and everything after is savings.

Switching is two connections.

A sync script feeds your catalog into the engine — from a database or a plain export — and keeps it updated on schedule. A query endpoint answers searches; your storefront calls it instead of Algolia. Works alongside Adobe Commerce, SAP Commerce, Oro, BigCommerce or fully custom builds, because it sits behind an API rather than inside the platform. For most stacks this is days of work — and the free pilot skips integration entirely.

16,787
products live in production
~20 ms
per query, full catalog
1
ordinary machine, no cluster
0
outbound connections, ever

Those are numbers from a live deployment: an auto-parts retailer runs Dartfind as its counter and catalog search, fed with broken part numbers every day. Full case on the main page.

Don’t take the table’s word for it. Free pilot.

Send a catalog export — real or fake. Two days later you have a working search box in your infrastructure, next to your current Algolia setup. Type your customers’ worst queries at both. Then decide.

Your dataa catalog export, real or fake — no access to your systems needed
Your infrastructureruns on your server; the data never leaves your network
2 daysfrom export to a working search box you can torture
$0no contract, no card, no strings attached
Got it. We’ll get back to you within a day to arrange the pilot.
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Algolia alternative — questions people actually ask.

Is Dartfind as fast as Algolia?+
In production the engine answers in about 20 ms across the full catalog on one ordinary server — the same instant-search feel your storefront has now, at 100M-record scale. We're preparing formal side-by-side benchmarks and would rather publish measured numbers than round ones.
What does migrating off Algolia involve?+
Two connections. A sync script feeds your catalog into the engine and keeps it updated on schedule; a query endpoint answers searches, and your storefront calls it instead of the Algolia client. For most platforms this is days of work. The free pilot skips integration entirely: you send an export, we hand you a working search to compare against your current setup.
How does the pricing actually compare?+
Algolia bills per query and per record, so the cost grows with your traffic and catalog. Dartfind is one payment: the full deployment — binary, setup, integration — typically comes in below what companies spend on their search stack in a single year. From year two onward you're simply ahead, and the price never grows.
Does Dartfind have Algolia's dashboards and A/B testing?+
Honestly: no SaaS console. You get ranking controls your team can adjust in minutes, a query endpoint and full access to your own logs — it's your server. Merchandising UIs and analytics dashboards are custom work we build as paid features, and they ship to every customer after you.
Is the typo tolerance really comparable?+
For broken input — typos, half-remembered part numbers, glued words, wrong keyboard layouts — tolerance is a property of the matching math itself, with no rules or dictionaries to configure. That's the exact workload the engine runs in production today at an auto-parts retailer, fed broken part numbers every day.
Can it satisfy data-residency and security requirements Algolia can't?+
Yes — that's one of the main reasons teams switch. The engine runs entirely inside your network, works with the internet cut off, and makes zero outbound connections. No license server, no activation, nothing that phones home. Your catalog never leaves your infrastructure.