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Meilisearch VS MongoDB Atlas

Compare Meilisearch VS MongoDB Atlas and see what are their differences

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Contents:
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  3. » Reviews
  4. » Alternatives

Meilisearch logo Meilisearch

Ultra relevant, instant, and typo-tolerant full-text search API

MongoDB Atlas logo MongoDB Atlas

The best way to host MongoDB in the cloud. Deploy on AWS, Azure, or Google Cloud Platform. Try it free!
  • Meilisearch Landing page
    Landing page //
    2023-12-16

Meilisearch is a powerful, fast, open-source, easy to use, and deploy search engine. The search and indexation are fully customizable and handles features like typo-tolerance, filters, and synonyms.

  • MongoDB Atlas Landing page
    Landing page //
    2023-09-28

Meilisearch features and specs

  • Speed
    Meilisearch is optimized for performance and provides very fast search capabilities, often with response times in milliseconds.
  • Relevance
    It offers advanced search features like typo tolerance, synonyms, and configurable ranking rules to ensure highly relevant search results.
  • Ease of Use
    Designed to be user-friendly with a straightforward RESTful API, making it easy to integrate and use.
  • Open Source
    Meilisearch is open source, allowing developers to inspect the code, contribute, and customize it to fit their own needs.
  • Language Support
    It supports multiple languages, ensuring effective full-text search capabilities in various linguistic contexts.
  • Lightweight
    Meilisearch is lightweight and can be deployed on modest hardware, making it suitable for small to medium-sized projects.
  • Real-time Indexing
    It offers real-time indexing, allowing the index to be updated without significant downtime or delay.

Possible disadvantages of Meilisearch

  • Maturity
    As a relatively young project, it may lack some advanced features and optimizations found in more established search solutions like Elasticsearch.
  • Ecosystem
    The ecosystem and community around Meilisearch are still growing, so you might find fewer plugins, extensions, and third-party tools compared to more mature solutions.
  • Scalability
    While suitable for small to medium projects, it might not be as scalable for very large datasets or highly complex queries compared to other search engines like Solr or Elasticsearch.
  • Complex Query Handling
    Meilisearch focuses on simplicity, which means it may lack some of the advanced query capabilities provided by more complex search engines.
  • Documentation
    Though improving, the documentation may not be as comprehensive as that of longer-established projects, which could lead to a steeper learning curve for some users.

MongoDB Atlas features and specs

  • Scalability
    MongoDB Atlas offers excellent scalability, allowing users to easily scale their databases vertically and horizontally to accommodate growing data needs and increasing traffic.
  • Fully Managed Service
    MongoDB Atlas is a fully managed service, meaning that tasks such as database patching, hardware provisioning, and backups are handled automatically, reducing the administrative burden on users.
  • Global Distribution
    MongoDB Atlas provides global data distribution, enabling users to deploy their databases across multiple regions and ensure low-latency access to data for end-users.
  • Security Features
    With MongoDB Atlas, robust security features such as encryption at rest and in transit, robust authentication, and fine-grained access control are available to protect your data.
  • Integration and Ecosystem
    MongoDB Atlas integrates well with other AWS, Azure, and Google Cloud services, as well as a wide variety of development tools and third-party services.
  • Auto-scaling
    Atlas provides auto-scaling capabilities that automatically adjusts the database resources according to workload demands, optimizing performance and cost efficiency.

Possible disadvantages of MongoDB Atlas

  • Cost
    MongoDB Atlas can become expensive as data and workloads grow, especially when additional features such as backups, sharding, and global deployments are utilized.
  • Dependency on Internet Access
    Since MongoDB Atlas is a cloud-based service, a reliable internet connection is necessary for consistent database access, which could be a drawback in environments with poor connectivity.
  • Complexity of Advanced Features
    While MongoDB Atlas provides many advanced features, effectively utilizing them may require a learning curve, potentially complicating deployment and management for less experienced users.
  • Vendor Lock-in
    Utilizing MongoDB Atlas can lead to vendor lock-in, making it difficult to switch to other database solutions without significant effort and cost.
  • Limited Control
    Being a managed service, users may have limited control over underlying infrastructure and certain configurations, which might be an issue for those who need specific custom setups.

Analysis of Meilisearch

Overall verdict

  • Meilisearch is considered a good choice for those looking for a simple, yet powerful search engine solution. It is particularly well-suited for use cases where speed and relevance are critical, and when there is a need for a developer-friendly, open-source product.

Why this product is good

  • Meilisearch is an open-source search engine that is known for its speed and relevance. It is designed to provide fast and relevant search results with minimal configuration. Meilisearch offers features like typo tolerance, filters, and highly customizable search behavior, making it ideal for developers looking to integrate a powerful search experience into their applications. Its ease of setup, lightweight nature, and ease of use make it a popular choice among developers.

Recommended for

    Meilisearch is recommended for developers and small to medium-sized businesses that need a fast and effective search solution with minimal setup time. It is also ideal for projects where open-source technologies are preferred and where there is a need for customization and flexibility in search functionalities.

Meilisearch videos

No Meilisearch videos yet. You could help us improve this page by suggesting one.

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MongoDB Atlas videos

+ Add

An explanation of MongoDB Atlas' features and functionalities

More videos:

  • Review - MongoDB Atlas on Google Cloud
  • Review - Ep. 6 Five Ways to Reduce Costs with MongoDB Atlas

Category Popularity

0-100% (relative to Meilisearch and MongoDB Atlas)

Meilisearch

MongoDB Atlas

Custom Search Engine
100 100%
Custom Search Engine
0% 0
Databases
40 40%
Databases
60% 60
Search Engine
100 100%
Search Engine
0% 0
NoSQL Databases
0 0%
NoSQL Databases
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Meilisearch and MongoDB Atlas

Meilisearch Reviews

5 Open-Source Search Engines For your Website
MeiliSearch is an open-source, blazingly fast and hyper-relevant search engine that will improve your search experience. It provides an extensive toolset for customization. It works out-of-the-box with a preset that easily answers the needs of most applications. Communication is done with a RESTful API because most developers are already familiar with its norms.
Source: vishnuch.tech
MeiliSearch: Zero-config alternative to Elasticsearch, made in Rust | Hacker News
"We send events to our Amplitude instance to be aware of the number of people who use MeiliSearch. We only send the platform on which the server runs once by day. No other information is sent. If you do not want us to send events, you can disable these analytics by using the MEILI_NO_ANALYTICS env variable."
Source: news.ycombinator.com
Recommendations for Poor Man's ElasticSearch on AWS?
I'd second these two. I've been following them for quite some time. I even did an extensive research on which one I'd use, and I ended up with Typesense. I don't remember the specific reasoning though. Both seem quite good. MeiliSearch is written in Rust, which makes it more "hipsterish" ;)
Source: www.indiehackers.com

MongoDB Atlas Reviews

We have no reviews of MongoDB Atlas yet.
Be the first one to post

Social recommendations and mentions

Based on our record, Meilisearch seems to be more popular. It has been mentiond 4 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Meilisearch mentions (4)

  • Show HN: Cardstock- Free TCG Proxy Manager for Magic, Yugioh, & Pokemon
    This thing is amazing. Kamal gives me everything I could want (easy console access, easy shell access, a way to manage secrets, a way to see my logs, and letsencrypt support for DNS), all without a PaaS tax. The best part is the accessories feature: https://kamal-deploy.org/docs/commands/accessory/. I am running my main app with two accessories: Meilisearch(https://meilisearch.com) and OpenObserve... - Source: Hacker News / 5 months ago
  • Show HN: Hyvor Blogs – Multi-language blogging platform
    Meilisearch [https://meilisearch.com] for the search index. - Source: Hacker News / about 2 years ago
  • Meilisearch, the Rust search engine, just raised $5M
    Meilisearch is an open-source, lightning-fast, and hyper-relevant search engine that fits effortlessly into your apps, websites, and workflow. You can find more info on our website https://meilisearch.com. Source: over 3 years ago
  • Search engines for website
    Algolia.com - new plans are very affordable Meilisearch.com - open source. Source: about 4 years ago

MongoDB Atlas mentions (0)

We have not tracked any mentions of MongoDB Atlas yet. Tracking of MongoDB Atlas recommendations started around Mar 2021.

What are some alternatives?

When comparing Meilisearch and MongoDB Atlas, you can also consider the following products

Typesense - Typo tolerant, delightfully simple, open source search 🔍

SAP HANA - SAP HANA is an in-memory, column-oriented, relational database management system.

Algolia - Algolia's Search API makes it easy to deliver a great search experience in your apps & websites. Algolia Search provides hosted full-text, numerical, faceted and geolocalized search.

Ninox - Ninox is a human-friendly database. Create your own Business Application with Ninox that matches your workflow. Ninox lets you integrate CRM, ERP, HR and many more...

ElasticSearch - Elasticsearch is an open source, distributed, RESTful search engine.

Amazon Aurora - MySQL and PostgreSQL-compatible relational database built for the cloud. Performance and availability of commercial-grade databases at 1/10th the cost.

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