Sold by: Meilisearch
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Meilisearch is a fast, AI-powered Search platform that helps teams build scalable, relevant, and intuitive discovery experiences. With native support for full-text, semantic, and vector search, it blends traditional ranking with modern AI in a simple, unified API. Use it for product search, enterprise knowledge bases, RAG pipelines, or chat search.
4.8
Overview
Meilisearch Cloud Enterprise is a developer-first Search and AI platform designed to build powerful, scalable, and cost-effective search experiences. It combines traditional keyword search with modern AI-powered methods like semantic and vector search in a single API. Built for teams that prioritize developer experience, Meilisearch is easy to integrate and highly customizable. Whether you're powering product discovery, enterprise knowledge bases, or conversational assistants, Meilisearch offers full control over relevance, ranking, and filters. It supports typo-tolerant full-text search, native embeddings, hybrid retrieval, and conversational search. Advanced capabilities like faceted, geo, and multilingual search are built in. Meilisearch serves SaaS apps, marketplaces, AI applications, and enterprise search needs. It's deployable in any AWS region, with SLAs, high availability, and multi-region replication. Usage-based pricing prevents overprovisioning, and enterprises benefit from premium support, including Slack/Teams channels and custom contracts. Built in Rust with a high-efficiency ranking engine and memory-mapped storage, Meilisearch delivers ultra-low latency and reduced infrastructure costs. Its clean APIs, instant indexing, and automatic embedding support simplify development and speed up workflows.
Highlights
- Unified Search Power: Full-text, semantic, and vector search in a single platform with built-in embeddings and hybrid retrieval.
- Effortless Scaling: One-click deployment, zero DevOps overhead, clean APIs, and automatic embedding simplify workflows and scaling.
- High-Speed, Low-Cost: Built in Rust for efficiency, delivering ultra-low latency and reduced infrastructure costs without sacrificing performance or control.
Details
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Deployed on AWS
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Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing
Free trial
Try this product free according to the free trial terms set by the vendor.
Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/month |
|---|---|---|
Dedicated Project | This product includes all features. The price varies based on the allowed resources, including CPU, RAM, disk, and bandwidth | $1.00 |
Growth Project | This product includes all features. The price varies based on service usage, such as the number of searches, the number of documents, and the level of commitment to usage. | $1.00 |
Dimensions summary
You choose between two contract dimensions, both billed in units and both including all features. The Dedicated Project prices by the resources you reserve, such as CPU, RAM, disk, and bandwidth. This fits workloads where you size infrastructure directly. The Growth Project prices by service usage, such as the number of searches, the number of documents, and your committed usage level. This fits workloads that scale with activity rather than fixed capacity. Your cost rises as you add resources or usage. Pick the model that matches how your search workload grows.
Top-of-mind questions for buyers
The Dedicated Project reserves a fixed instance with set CPU cores, RAM, disk space, and bandwidth. You size infrastructure directly for your workload. Your cost stays tied to the capacity you reserve, not to how many searches or documents you process. This suits steady, predictable workloads.
The Growth Project meters service usage, including the number of searches, the number of documents, and your committed usage level. As you index more documents or run more searches, your cost rises accordingly. This model tracks activity rather than fixed capacity, so it fits workloads that scale up and down.
Both include all features. Choose the Dedicated Project when you want to reserve fixed infrastructure and control CPU, RAM, disk, and bandwidth directly. Choose the Growth Project when your cost should follow activity, such as search and document volume. Match the model to whether your workload is steady or variable.
www.meilisearch.com
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Vendor refund policy
Refund terms are negotiated individually and defined in the enterprise agreement between Meilisearch and the customer.
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Delivery details
Software as a Service (SaaS)
SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
Support
Vendor support
Support is provided as part of the Meilisearch Enterprise agreement, including SLAs, technical account management, shared Slack or Teams channels, and premium support levels, with terms defined and negotiated per customer contract.
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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Customer reviews
reviewer2797689
Improved search performance has reduced our operational costs and simplified ongoing maintenance
Reviewed on Jan 16, 2026
Review from a verified AWS customer
What is our primary use case?
I use it for 50% text search and 50% vector search.
How has it helped my organization?
They drastically reduce operation costs for both human resources and compute compared to OpenSearch.
What is most valuable?
Everything was an upgrade compared to Amazon OpenSearch, with the exception of resiliency.
What needs improvement?
The resiliency of their service needs improvement. There have been several outages.
For how long have I used the solution?
I have been using the solution for almost 2 years.
Which solution did I use previously and why did I switch?
As explained above, we used OpenSearch and switched because of its performance, maintenance complexity, and operating costs.
What's my experience with pricing, setup cost, and licensing?
The setup cost is fair.
Which other solutions did I evaluate?
We considered Pinecone, Qdrant, and Turbopuffer as alternate solutions.
What other advice do I have?
They are really proactive and listen carefully to your feedback.
Jean D.
Great performances and nice support!
Reviewed on Jan 03, 2025
Review provided by G2
What do you like best about the product?
Meillisearch helps our users find what they need in our huge assets library every day. It's really easy to maintain and update, and the support is so reactive! We implemented the new AI feature search, and it works like a charm. Thanks to it, we got internationalized content out of the box.
Performance-wise, I'm impressed by the speed of indexing our data, as we sometimes republish all our assets at once.
At Rayon we really enjoy using meillisearch and hope to work with it as much as possible!
Performance-wise, I'm impressed by the speed of indexing our data, as we sometimes republish all our assets at once.
At Rayon we really enjoy using meillisearch and hope to work with it as much as possible!
What do you dislike about the product?
Overall it's still improving but the admin dashboard sometimes lacks some clarity.
What problems is the product solving and how is that benefiting you?
Fast and efficient search in our asset database.
Health, Wellness and Fitness
Great performance and DX
Reviewed on Nov 24, 2024
Review provided by G2
What do you like best about the product?
Meilisearch has been a great tool to work with. It’s really easy to use, and the setup process is straightforward, which saved me a lot of time. The documentation is clear, so I didn’t have to spend hours figuring things out.
I’ve also had a really good experience with their support team. They’re quick to respond and genuinely helpful, which makes a big difference when you’re troubleshooting or trying to get something specific to work.
In terms of performance, it’s fast and handles searches and indexing smoothly, even with larger datasets. It’s been reliable and does exactly what I need it to do.
Overall, it’s a solid choice if you’re looking for a simple and efficient search solution with great support.
I’ve also had a really good experience with their support team. They’re quick to respond and genuinely helpful, which makes a big difference when you’re troubleshooting or trying to get something specific to work.
In terms of performance, it’s fast and handles searches and indexing smoothly, even with larger datasets. It’s been reliable and does exactly what I need it to do.
Overall, it’s a solid choice if you’re looking for a simple and efficient search solution with great support.
What do you dislike about the product?
One thing I think could be improved is the dashboard. While it works fine for basic needs, it could be a bit more sophisticated with additional features or tools to manage indexes more effectively.
Another concern is the recent changes in pricing. For those with large indexes but lower usage, the new pricing model might not feel as fair or cost-effective, which could make it harder to justify for certain projects.
Another concern is the recent changes in pricing. For those with large indexes but lower usage, the new pricing model might not feel as fair or cost-effective, which could make it harder to justify for certain projects.
What problems is the product solving and how is that benefiting you?
Meilisearch is helping me handle a large index of nutrition ingredients efficiently. It allows users to quickly search and find the right nutritional foods, which was a challenge when I was using Postgres. With Postgres, the search process was much slower, but Meilisearch makes it significantly faster and more responsive, improving the overall experience for users.
Ian F.
Powerful Search, Easier than Elastic, Excellent remplacement for Algolia
Reviewed on Nov 07, 2024
Review provided by G2
What do you like best about the product?
Seamless integration with Laravel, Ease of use, nice cloud dashboard
What do you dislike about the product?
if you have a lot of trafic, the pricing / per search on the cloud can be expensive, but you can still self host
What problems is the product solving and how is that benefiting you?
Text search
Ivo S.
Powerful relevant search out of the box, great developer experience and a cost-effective solution.
Reviewed on Sep 21, 2023
Review provided by G2
What do you like best about the product?
Meilisearch has empowered us to deliver lightning-fast and highly relevant search results tailored to our customers' needs. Its seamless integration with our systems has positively impacted developer experience, making its integration with our platform, local environment setup, testing, and CI/CD automation significantly more efficient. Additionally, Meilisearch has proven to be a cost-effective solution, resulting in substantial savings. Last but not least, the active community, the rapid evolution of the product, and the excellent support give us great confidence for the future.
What do you dislike about the product?
As with any product, there are areas that can be improved and features that are still lacking, although there is nothing to specifically dislike. Our main concern lies in the Cloud deployment and management UI, as it does't provide insights on search requests, such as response times and top queries, it does't automatically generate a suggestions index for an autocomplete experience and lacks integration with observability platforms like Datadog. However, it is worth noting that there is an experimental feature in place for the Metrics API, even though not yet available on the Cloud at the time of writing.
What problems is the product solving and how is that benefiting you?
Meilisearch powers the search experience in our Wholesale platform. It enables us to deliver extremely fast and highly relevant free text search results from our entire product catalog and provides a complete search experience with filters, facets and sorting that empowers our users to discover the best products for them very easily.