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.

We tested search at nearly thirty distributors. Here is what breaks.

In July 2026 we ran the same queries against the on-site search of nearly thirty North American electrical and industrial distributors. Four failure patterns stood out.

Buying a search vendor did not predict good search — some of the strongest catalogs we tested ran no commercial search product at all. Reproduce any of these on your own storefront in thirty seconds. Type a part number wrong. Read the full audit →

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
Spec queries“20A”, “5W-30”, “3/4 inch” — the spec in the query ranks the resultsToken match; ranking by spec is rules and custom ranking work
InfrastructureAn ordinary x86 serverNone of yours — and none of your control
Long-term costFixed. Price never grows with catalog or trafficRecurring, scales with usage

What that looks like in practice.

A query typed the way real customers type — and the result list it lands on.

dartfind.local/search
6 resultsin 19 ms
matched with typo: 62o5 → 6205
SKF 6205-2RS/C3
Deep groove ball bearing 25×52×15SKF
In stock · 142 pcs
$8.40
SKF 6205-2RSH
Deep groove ball bearing, sealedSKF
In stock · 96 pcs
$9.10
FAG 6205-2RSR
Deep groove ball bearing 25×52×15FAG
3–5 days
$8.95
NSK 6205DDU
Deep groove ball bearing, sealedNSK
In stock · 58 pcs
$8.75
The letter “o” instead of a zero, no dashes, lowercase — and every result is the right part. Demo catalog shown; the same engine runs your data in the pilot.

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.
Something went wrong — please try again.

Algolia alternative — questions people actually ask.

What did the distributor field test actually show?+
In our July 2026 field test of nearly thirty North American distributors, four failure patterns stood out. A handful of sites return zero results for one transposed letter in "circuit breaker". More return results that quietly collapse: 121 items to 2 on one mistyped letter, with no correction offered. Spec queries like "circuit breaker 20A" surface 15- and 30-amp units in the top three. And descriptive queries rank accessories above the product almost everywhere. Paying for a search vendor did not predict good search. Any of these takes thirty seconds to reproduce on your own storefront.
Is Dartfind as fast as Algolia?+
In production the engine answers in about 20 ms in production — the same instant-search feel your storefront has now. It is built for catalogs up to 100 million records on a single x86 server. 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.