Meilisearch vs n8n

Meilisearch

Open-source search engine that is fast to embed

Meilisearch is an open-source search engine written in Rust that gives an application typo-tolerant, sub-50ms full-text search through a REST API, without the operational weight of running a general-purpose search cluster. The problem it addresses is that most products need good search long before they need Elasticsearch. Database LIKE queries and Postgres full-text search are free and already there, but they do not tolerate typos, do not rank results the way a user expects, and degrade badly as the corpus grows. The other end of the market - Elasticsearch or OpenSearch - will do anything you ask, and asks in return that you learn a query DSL, size a cluster, tune shards and replicas, and keep the JVM healthy. Meilisearch aims at the large middle: search that feels instant and forgiving, set up in an afternoon. Practically, it ships as a single binary with no external dependencies. You create an index, push JSON documents, and query them immediately. Typo tolerance, prefix search, stop words, synonyms, and relevancy rules are on by default rather than assembled by hand, and faceting and filtering cover the usual e-commerce and catalogue patterns. Official client libraries cover most major languages, and ready-made front-end components mean a working search-as-you-type box is a small amount of code rather than a project. More recent releases added vector and hybrid search, so semantic results can be blended with keyword matching without bolting on a separate vector database. Licensing and hosting are the other reason teams pick it. The core is genuinely open source and self-hostable at no cost, which makes it viable for side projects, for privacy-sensitive deployments, and for anyone unwilling to make search a permanent per-record line item. Meilisearch Cloud is the managed tier for teams that would rather not run it, and the business is funded by that hosted service rather than by restricting the core. How it compares: Algolia is the incumbent and is excellent, with a more mature feature set and analytics, but it is proprietary and its per-search and per-record pricing is what typically sends teams looking. Typesense is the closest peer - also open source, also fast, with a similar philosophy - and the decision usually comes down to specific feature needs rather than a clear winner. Elasticsearch and OpenSearch are the right answer when you need log analytics, aggregations, and arbitrary query complexity. Postgres full-text search remains the cheapest option when search is a secondary feature and typo tolerance does not matter. It suits developers who want relevant, forgiving search in a product quickly, and who want the option to self-host rather than to rent search permanently.

n8n

Workflow automation you can self-host

n8n is a workflow automation platform that connects apps, APIs, and AI models through a visual node editor, and it bills per workflow execution rather than per step, which makes multi-step automations dramatically cheaper to run than on step-priced competitors. The billing model is the single most important thing to understand about it. In n8n an execution is a single run of your entire workflow, and it does not matter how many steps that workflow contains or how much data it processes. A 40-node workflow that enriches a lead, scores it, writes to a CRM, and posts to Slack costs one execution. On platforms that charge per task or per operation, that same run can cost 40 units. For anyone building genuinely complex automations, that difference compounds fast. n8n is also self-hostable. The standard self-hosted version is available on GitHub, where the project has over 202,000 stars, under a FairCode license. Self-hosting is the usual route for teams with data residency requirements or those who want unlimited executions on their own infrastructure. Cloud pricing, billed annually, runs: Starter at 20 EUR/month for 2,500 workflow executions, Pro at 50 EUR/month for 10,000 executions, and Business at 667 EUR/month for 40,000 executions. Enterprise is quoted for custom execution volumes. Starter and Pro trials require no credit card and give you all Pro features against Starter limits, meaning 5 concurrent executions and 2,500 executions. The Business trial runs 14 days with full access and does require a card. All trials include 800 AI Assistant credits. Who it is for: technical teams and automation-minded founders who have outgrown no-code glue. n8n sits deliberately between Zapier's simplicity and writing your own integration service. It expects you to be comfortable reading JSON, writing the occasional JavaScript expression, and thinking about error branches. In exchange you get branching, looping, custom code nodes, self-hosting, and AI agent nodes that are hard to reach in simpler tools. How it compares: Zapier is easier for non-technical users, has a far larger app catalogue, and is the safer pick if the automation is simple and the person maintaining it is not an engineer. Make (formerly Integromat) is closer to n8n in visual power and is generally cheaper than Zapier, but is not self-hostable. Activepieces is the nearest open-source alternative. Against all three, n8n's advantages are the per-execution pricing, self-hosting, and the depth of its AI and code nodes; its disadvantage is a steeper learning curve and a smaller integration catalogue than Zapier's. Evaluate it when your Zapier bill starts scaling with workflow complexity rather than with business volume, or when a compliance requirement rules out sending your data through a third-party cloud.