Software Alternatives, Accelerators & Startups

Amazon Elasticsearch Service VS Meilisearch

Compare Amazon Elasticsearch Service VS Meilisearch and see what are their differences

Amazon Elasticsearch Service logo Amazon Elasticsearch Service

Amazon Elasticsearch Service is a managed service that makes it easy to deploy, operate, and scale Elasticsearch in the AWS Cloud.

Meilisearch logo Meilisearch

Ultra relevant, instant, and typo-tolerant full-text search API
  • Amazon Elasticsearch Service Landing page
    Landing page //
    2023-03-13
  • 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.

Amazon Elasticsearch Service features and specs

  • Scalability
    Amazon OpenSearch Service allows for easy scalability of clusters based on demand, without the need to manually manage infrastructure.
  • Managed Service
    The service is fully managed by AWS, including automatic backups, monitoring, and updates, reducing operational overhead for users.
  • Integration
    Seamless integration with other AWS services such as Amazon VPC, AWS Lambda, and Amazon S3 for streamlined workflows and enhanced data analysis capabilities.
  • Security
    Built-in security features such as VPC support, IAM policies, and data encryption at rest and in transit ensure data is well-protected.
  • High Availability
    The service offers multiple availability zones for high availability and durability of data.
  • Cost Efficiency
    Comes with a pay-as-you-go pricing model which allows users to efficiently manage costs and scale resources according to budget and usage.

Possible disadvantages of Amazon Elasticsearch Service

  • Vendor Lock-in
    Relying on Amazon for Elasticsearch service can lead to vendor lock-in, making it hard to transition to other services or platforms without significant effort.
  • Cost
    While the pricing model is flexible, the costs can accumulate quickly with large-scale deployments, potentially leading to high expenses.
  • Limited Customization
    Being a managed service, it offers less flexibility and customization options compared to self-managed solutions.
  • Version Lag
    The service may not always be in sync with the latest releases and may lag behind the open-source Elasticsearch in terms of new features.
  • Complexity
    Setting up and optimizing Amazon OpenSearch Service can be complex, requiring a good understanding of both the service and underlying Elasticsearch technology.

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.

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.

Amazon Elasticsearch Service videos

Amazon Elasticsearch Service Deep Dive - AWS Online Tech Talks

More videos:

  • Review - Moving From Self-Managed Elasticsearch to Amazon Elasticsearch Service - AWS Online Tech Talks

Meilisearch videos

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

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Category Popularity

0-100% (relative to Amazon Elasticsearch Service and Meilisearch)
Custom Search Engine
20 20%
80% 80
Custom Search
22 22%
78% 78
Search Engine
0 0%
100% 100
Search API
100 100%
0% 0

User comments

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Reviews

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

Amazon Elasticsearch Service Reviews

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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."
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" ;)

Social recommendations and mentions

Based on our record, Amazon Elasticsearch Service should be more popular than Meilisearch. It has been mentiond 12 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.

Amazon Elasticsearch Service mentions (12)

  • AWS Spot Instances: Business Case Essentials
    Step 4 Examine the compute usage and identify suitable services and workloads. Services like EKS, OpenSearch, CloudWatch, Kinesis, and Firehose suggest stateless/fault-tolerant/bath-oriented workloads suitable for Spot Instances. Therefore EKS worker nodes, data processing jobs, CI/CD workloads or OpenSearch indexing tasks can be migrated to Spot. - Source: dev.to / 3 months ago
  • OpenSearch for humans
    This change triggered a response from Amazon Web Services, which offered OpenSearch (data store and search engine) and OpenSearch Dashboards (visualization and user interface) as Apache2.0 licensed open-source projects. - Source: dev.to / over 1 year ago
  • OpenSearch as Vector DB: Supercharge Your LLM
    Amazon OpenSearch Service allows you to deploy a secured OpenSearch cluster in minutes. - Source: dev.to / about 2 years ago
  • Building Serverless Applications with AWS - Data
    If yes to these, then OpenSearch is where you are looking. I rarely ever use OpenSearch on its own but usually pair it with DynamoDB. The performance of DDB and the power of searching with OpenSearch make a nice combination. And as with most things with Serverless, pick the right tool for the job. And when it comes to Data, there are so many choices because each one of these is specific to the problem it solves. - Source: dev.to / about 2 years ago
  • Advice on a simple database architecture
    Have you looked into Amazon OpenSearch Service (https://aws.amazon.com/opensearch-service/)? You should be able to load the log files into that service and then query it there. Should simplify things a lot. Source: over 2 years ago
View more

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 / 9 months ago
  • Show HN: Hyvor Blogs โ€“ Multi-language blogging platform
    Meilisearch [https://meilisearch.com] for the search index. - Source: Hacker News / over 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: over 4 years ago

What are some alternatives?

When comparing Amazon Elasticsearch Service and Meilisearch, you can also consider the following products

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

Typesense - Typo tolerant, delightfully simple, open source search ๐Ÿ”

PieSync - Seamless two-way sync between your CRM, marketing apps and Google in no time

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.

Amazon Kinesis - Amazon Kinesis services make it easy to work with real-time streaming data in the AWS cloud.

TIBCO Spotfire - TIBCO Spotfire is a Business Intelligence (BI) solution that provides users with executive dashboards, data visualization, data analytics and KPIs push to mobile devices.