Meilisearch vs Typesense: Which Search Engine for Your App?

If you're building search into your app and you've already ruled out Algolia's pricing, you've probably landed on the same two options everyone else has: Meilisearch and Typesense. Both are open-source, both offer instant search-as-you-type, and both promise to be the "easy alternative to Elasticsearch."

But they're built differently, and those differences matter depending on what you're building. Let's break it down.

The Quick Overview

How They Store Data (This Matters More Than You Think)

This is the fundamental difference, and it affects everything else.

Typesense keeps its entire index in RAM. That's why it's so fast — sub-50ms response times are the norm. But it means your server needs enough memory to hold your entire dataset. If you've got 10GB of searchable data, you need at least 10GB of RAM (probably more with overhead).

Meilisearch uses LMDB, a memory-mapped database on disk. The OS loads only the relevant parts into RAM as needed. This means you can index much larger datasets without proportional RAM costs — but raw query speed won't match an in-memory engine on the same hardware.

The practical impact? Typesense is faster for pure search speed. Meilisearch is more forgiving on infrastructure costs when your dataset grows.

Search Relevance and Typo Tolerance

Both engines handle typos beautifully out of the box. Type "javscript" and both will return "JavaScript" results instantly. No configuration needed.

Where they differ is in relevance tuning. Typesense supports field weighting — you can boost title matches over description matches, giving you fine-grained control over result ranking. Meilisearch takes a different approach with custom ranking rules that let you define priority order (exactness, proximity, typo count) but doesn't support per-field weighting.

If you need precise control over which fields matter most — like boosting product names over descriptions in an e-commerce search — Typesense gives you that lever directly. If you're building something where reasonable defaults work and you don't want to spend hours tuning, Meilisearch gets you there faster.

AI and Vector Search

Both engines now support hybrid search — combining traditional keyword search with vector-based semantic search. This means your users can search by meaning, not just exact keywords.

Typesense goes a step further with auto-embedding: it can generate vector embeddings from your documents internally using built-in models or external providers (Azure OpenAI, GCP). You don't need a separate embedding pipeline.

Meilisearch supports hybrid vector search but currently requires you to bring your own embeddings. You generate them externally and index them alongside your documents.

If you want semantic search with minimal infrastructure, Typesense's auto-embedding is a significant advantage. If you already have an embedding pipeline (or plan to build one), Meilisearch handles hybrid retrieval well.

Scaling and High Availability

Typesense has built-in clustering via Raft consensus. You can run multi-node clusters for high availability — if one node goes down, the others keep serving. This is available in the open-source version.

Meilisearch recently introduced horizontal sharding, allowing you to dynamically add shards as your data or traffic grows. However, this feature is part of the Enterprise Edition — the open-source version is primarily single-node.

If you need production-grade high availability without an enterprise license, Typesense wins this category.

Developer Experience

Both engines pride themselves on being "setup in 5 minutes," and honestly, they both deliver. RESTful APIs, great documentation, SDKs for every popular language.

Meilisearch's edge here is its admin dashboard — a built-in web UI where you can test queries, browse indexes, and tweak settings visually. It makes onboarding faster, especially for teams new to search engines.

Typesense is pure API-first. There's no built-in UI, but the API is clean and well-documented. You'll be productive quickly if you're comfortable with curl and SDKs.

Deploy on Elestio

Both are available on Elestio with one-click deployment:

• Meilisearch on Elestio — Starting at $16/month (2 CPU, 4 GB RAM, 60 GB NVMe)
• Typesense on Elestio — Starting at $16/month

Elestio handles SSL, backups, updates, and monitoring — so you focus on building your search experience, not managing infrastructure.

For custom domain setup with automated SSL, follow the official Elestio documentation.

The Bottom Line

• Pick Meilisearch if: You want the fastest developer experience, built-in admin UI, and your dataset fits comfortably on disk without needing massive RAM. Great for content search, CMS, documentation sites, and rapid prototyping.
• Pick Typesense if: You need raw speed, built-in clustering, auto-embedding for semantic search, and field-level relevance tuning. Ideal for e-commerce, high-traffic applications, and production workloads where milliseconds matter.

Both are excellent Algolia alternatives that won't charge you per search query. The "right" choice depends on whether you value developer convenience (Meilisearch) or performance headroom (Typesense).

Thanks for reading ❤️ See you in the next one 👋