Meilisearch is a popular open-source search engine known for its developer-friendly API and excellent typo tolerance. But it requires a server to run. Sprigr takes a fundamentally different approach: the search engine compiles to WebAssembly and runs entirely in the browser. No server, no infrastructure, no per-query costs.
Start Free — No Credit CardHow Sprigr's client-side architecture compares to Meilisearch's self-hosted search engine.
| Sprigr | Meilisearch | |
|---|---|---|
| Architecture | Client-side (WebAssembly) | Self-hosted server (Rust) |
| Search latency | <10ms (local computation) | ~20–50ms (network round-trip) |
| Infrastructure | None required | Server required (or Meilisearch Cloud) |
| Pricing model | Flat fee, no per-query costs | Free (self-hosted) / Cloud plans |
| Free tier | Free forever (1K objects) | Free (self-hosted) / Cloud free tier |
| Data privacy | Zero server-side processing | Data on your server or Meilisearch Cloud |
| Offline support | Yes | No |
| Setup complexity | One script tag | Server install + API integration |
| Typo tolerance | Yes | Yes (excellent) |
| Hybrid semantic search | Yes (keyword + vector RRF) | Yes (vector search) |
| Index size limit | ~50K records (client-side) | Millions of records |
| Open source | No | Yes (MIT license) |
Sprigr is the better fit when these priorities matter most to your project.
Meilisearch requires a running server, whether you self-host or use Meilisearch Cloud. That means provisioning, monitoring, and paying for infrastructure. Sprigr runs in the browser. There is no server to manage, no uptime to guarantee, and no cost per search query. Your expenses stay flat regardless of traffic.
With Sprigr, search queries never leave the user's browser. No data is transmitted to any server, no queries are logged, and no cross-border data transfers occur. Even self-hosted Meilisearch processes queries on a server that you must secure and audit. Sprigr eliminates that concern entirely.
Every search query in Sprigr runs as local computation inside the browser. There is no network hop, no DNS lookup, no TLS handshake. Results appear in under 10 milliseconds regardless of the user's connection quality. Sprigr works offline, on slow mobile connections, and in air-gapped environments.
Meilisearch is a strong open-source project. Here is where it has genuine advantages.
Meilisearch can handle millions of records on a single server instance. Client-side search has a practical ceiling around 50,000 records because the index must fit in the browser. If your catalog, knowledge base, or document corpus exceeds that threshold, Meilisearch's server-side architecture is a natural fit.
Meilisearch is fully open-source under the MIT license. You can inspect the code, fork it, contribute to it, and run it on any infrastructure you control. If your organization requires open-source licensing, the ability to audit search internals, or the freedom to modify the engine, Meilisearch gives you complete ownership.
Meilisearch has a growing community with thousands of contributors, active forums, and regular releases. The project is backed by venture capital funding, which means a dedicated full-time team working on features, bug fixes, and documentation. If community support and ecosystem maturity matter to your decision, Meilisearch has a strong track record.
Both Meilisearch and Sprigr use JSON documents as their record format, so your data is already in a compatible structure. Export your documents from Meilisearch using its built-in document export, then push them to Sprigr via the REST API. Sprigr's Algolia-compatible API accepts standard JSON objects with searchable and filterable attributes.
On the frontend, you replace your Meilisearch client library and API calls with Sprigr's single script tag. Instead of sending queries to a Meilisearch server, the search module runs locally in the browser. The result is simpler code, fewer network dependencies, and no server to keep running.
If you currently rely on Meilisearch features like faceted search, filtering, and sorting, Sprigr supports equivalent functionality through its faceting and filtering API. Typo tolerance and relevance ranking work out of the box with no additional configuration required.
Free to self-host, but you pay for servers, monitoring, scaling, and maintenance. Cloud plans from $30/mo.
Zero ops. Fully managed edge deployment. Unlimited searches. Free tier: 1K objects.
Meilisearch is open-source and free to self-host under the MIT license. You can run it on your own server at no software cost, though you still pay for the server infrastructure (compute, storage, bandwidth). Meilisearch Cloud offers a free tier for small projects and paid plans for production workloads. Sprigr also has a permanent free tier (1,000 objects) with paid plans starting at $49 per month.
No. Meilisearch is a server-side search engine written in Rust. It runs as a standalone process on a server and exposes a RESTful API that your frontend queries over the network. Sprigr takes the opposite approach: the search engine is compiled to WebAssembly and runs entirely in the browser. This means Sprigr works offline, has zero network latency for search queries, and requires no server infrastructure.
Meilisearch Cloud pricing is based on the number of documents and index size, with costs increasing as your data grows. Self-hosted Meilisearch avoids software costs but requires you to pay for and maintain server infrastructure. Sprigr uses flat-fee pricing with no per-query charges. Since searches run client-side in the browser, there are no server costs per query. Sprigr's free tier includes 1,000 objects permanently, and paid plans start at $49 per month with predictable billing.
Both engines provide strong typo tolerance out of the box. Meilisearch is particularly well regarded for its typo handling, using a prefix-based approach with configurable tolerance levels that feels natural to end users. Sprigr also supports fuzzy matching with configurable thresholds. For most use cases, both engines deliver excellent results on misspelled queries without requiring custom configuration.
Yes. Both engines use JSON documents as their record format, so your data structure translates directly. Export your documents from Meilisearch, then push them to Sprigr via the Algolia-compatible REST API. Features like faceted filtering, sorting, and typo tolerance have equivalents in Sprigr. Most migrations involve adapting your API calls rather than restructuring your data.
Free forever. No credit card required. No server to manage, ever.
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