Meilisearch vs Algolia and Typesense for Rust-powered e-commerce

Speed and storage architectures

Rust powers Meilisearch, providing 1 to 5 millisecond latency. This engine uses LMDB for disk-based storage. Users do not need enough RAM to hold an entire dataset. Typesense requires the entire index to fit in memory. Algolia uses a Distributed Search Network with 70 data centers to process queries. Meilisearch 1.38 delivers 7x faster embedding indexing compared to previous versions. Migrating to AWS Graviton servers provides a 20% performance boost for Meilisearch.

Meilisearch wins on speed.

The engine provides 7,750 documents per second throughput. Typesense handles 9,000 documents per second. Algolia processes 4,060 documents per second. For self-hosted 3-node clusters, Meilisearch achieves 14ms p50 latency. Typesense achieves 9ms p50 latency. Algolia achieves 18ms p50 latency. Meilisearch provides 1 to 5 millisecond latency for most queries, whereas Typesense reaches 0.5 to 2 milliseconds. Algolia response times range from 10 to 30 milliseconds.

Feature sets and scaling

Typesense uses Raft-based clustering for high availability and automatic leader election. Meilisearch requires Enterprise Edition or Cloud to use production sharding and replication. One static leader handles every write in Meilisearch. This causes writes to block if the leader fails. This is a known limitation for write availability.

Will Meilisearch’s experimental features ever reach production stability?

Meilisearch supports Chinese, Japanese, Hebrew, and Latin-script languages. It also handles Vietnamese and other tonal languages through intelligent processing of accented and unaccented text. Typesense offers better CJK and Arabic support. Algolia provides NeuralSearch for combining keyword and vector search. Typesense provides hybrid search using HNSW semantic and hybrid search with built-in models, OpenAI, Azure OpenAI, or Google Gemini. Meilisearch supports hybrid search with DiskANN and embedders for Hugging Face, Cohere, Mistral, Voyage, Cloudflare, or Ollama. Meilisearch limits search queries to 10 terms. Foreign filters in Meilisearch return an error when the related-side condition matches more than 100 documents. Typesense provides stable cross-collection JOINs with filtering, nested joins, field inclusion, faceting, and sorting. Meilisearch uses experimental one-way foreign keys and hydration that are unavailable with remote sharding. Typesense supports automatic schema detection or strict schemas to keep collections clean. Meilisearch remains schema-less and accepts mixed field types. Meilisearch provides search analytics for queries, no-result rate, latency, clicks, conversions, and geographic distribution. Typesense includes search, click, conversion, and visit events in its open-source server. Typesense also provides built-in Natural Language Search using an LLM to turn requests into structured search terms, filters, and sort parameters. Typesense allows users to build a Find Similar feature for e-commerce using vector search. Algolia provides a Personalization feature that builds individual user profiles based on interaction history.

Implementation and cost

Algolia charges based on search requests and records stored. This structure causes bill shock when usage increases. An Algolia Standard plan for 100 million operations and 2 million records costs over $4,800 per month. Meilisearch Cloud starts at $20 per month. An XS Meilisearch Cloud example with 1 GB RAM costs about $23 per month. Typesense Cloud starts at $21.60 per month for 0.5 GB RAM and 2 vCPUs. Self-hosting on Elestio costs approximately $16 per month for both Meilisearch and Typesense. This removes per-query fees.

Typesense uses RAM.

If you manage a medium-scale shop, you should pick Meilisearch. Meilisearch provides the fastest path from zero to working search. It allows for a 14-day free trial on Meilisearch Cloud. Meilisearch provides SAML/SSO and SCIM authentication for enterprise identity management. Meilisearch also provides Search Trace for timing analysis and result pinning for marketing campaigns. Typesense suits high-traffic e-commerce requiring fine-grained control over ranking and field weighting. Algolia fits large enterprises needing built-in A/B testing, merchandising, and analytics. Meilisearch provides 1 to 5 millisecond latency for most queries.