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Redis ™ VS Meilisearch

Compare Redis VS Meilisearch and see what are their differences

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Redis logo Redis

Redis is an open source in-memory data structure project implementing a distributed, in-memory key-value database with optional durability.

Meilisearch logo Meilisearch

Ultra relevant, instant, and typo-tolerant full-text search API
  • Redis Landing page
    Landing page //
    2022-10-19

Redis is an open source (BSD licensed), in-memory data structure store, used as a database, cache and message broker. It supports data structures such as strings, hashes, lists, sets, sorted sets with range queries, bitmaps, hyperloglogs, geospatial indexes with radius queries and streams. Redis has built-in replication, Lua scripting, LRU eviction, transactions and different levels of on-disk persistence, and provides high availability via Redis Sentinel and automatic partitioning with Redis Cluster.

  • 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.

Redis features and specs

  • Performance
    Redis is an in-memory data store, which allows it to provide extremely fast read and write operations. This makes it ideal for applications requiring real-time interactions.
  • Data Structures
    Redis offers a variety of data structures, such as strings, hashes, lists, sets, and sorted sets. This flexibility helps developers manage data more efficiently in different scenarios.
  • Scalability
    Redis supports horizontal scalability with features like clustering and partitioning, allowing for easy scaling as your application grows.
  • Persistence
    Though primarily an in-memory store, Redis provides options for data persistence, such as RDB snapshots and AOF logs, enabling data durability across reboots.
  • Pub/Sub Messaging
    Redis includes a built-in publish/subscribe messaging system, which can be used to implement real-time messaging and notifications.
  • Simple API
    Redis has a simple and intuitive API, which can speed up development time and make it easier to integrate Redis into various application stacks.
  • Atomic Operations
    Redis supports atomic operations on data structures, reducing the complexity of concurrent programming and making it easier to maintain data consistency.

Possible disadvantages of Redis

  • Memory Usage
    Being an in-memory data store, Redis can become expensive in terms of memory usage, especially when working with large datasets.
  • Data Persistence Limitations
    While Redis offers data persistence, it is not as robust as traditional databases. There can be data loss in certain configurations, such as when using asynchronous persistence methods.
  • Complexity in Scaling
    Although Redis supports clustering, setting up and managing a Redis cluster can be complex and may require significant DevOps expertise.
  • Single-threaded Nature
    Redis operates on a single-threaded event loop, which can become a bottleneck for certain workloads that could benefit from multi-threading.
  • Limited Query Capabilities
    Compared to traditional relational databases, Redis offers limited querying capabilities. Complex queries and joins are not supported natively.
  • License
    As of Redis 6 and higher, the Redis modules are under the Server Side Public License (SSPL), which may be restrictive for some use cases compared to more permissive open-source licenses.

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.

Redis videos

+ Add

Improve your Redis developer experience with RedisInsight, Redis Labs

More videos:

  • Review - What is Redis? | Why and When to use Redis? | Tech Primers
  • Review - Redis Enterprise Overview with Yiftach Shoolman - Redis Labs
  • Review - Redis Labs "Why NoSQL is a Safe Bet"
  • Review - Redis system design | Distributed cache System design
  • Review - What is Redis and What Does It Do?
  • Review - Redis Sorted Sets Explained

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 Redis and Meilisearch)

Redis

Meilisearch

Databases
94 94%
Databases
6% 6
Custom Search Engine
0 0%
Custom Search Engine
100% 100
NoSQL Databases
100 100%
NoSQL Databases
0% 0
Search Engine
0 0%
Search Engine
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 Redis and Meilisearch

Redis Reviews

Redis Alternative for App Performance | Gigaspaces
Redis offers a RESTful API for accessing data stored within its in-memory technology data structures. This API provides a simple and efficient way to interact with Redis, enabling developers to leverage its capabilities seamlessly in their applications. Developers also need to manage the Redis cached data lifecycle, it’s the application responsibility to store the data &...
Source: www.gigaspaces.com
Are Free, Open-Source Message Queues Right For You?
A notable challenge with Redis Streams is that it doesn't natively support distributed, horizontal scaling. Also, while Redis is famous for its speed and simplicity, managing and scaling a Redis installation may be complex for some users, particularly for persistent data workloads.
Source: blog.iron.io
Redis vs. KeyDB vs. Dragonfly vs. Skytable | Hacker News
1. Redis: I'll start with Redis which I'd like to call the "original" key/value store (after memcached) because it is the oldest and most widely used of all. Being a long-time follower of Redis, I do know it's single-threaded (and uses io-threads since 6.0) and hence it achieves lesser throughput than the other stores listed above which are multi-threaded, at least to some...
Source: news.ycombinator.com
Memcached vs Redis - More Different Than You Would Expect
Remember when I wrote about how Redis was using malloc to assign memory? I lied. While Redis did use malloc at some point, these days Redis actually uses jemalloc. The reason for this is that jemalloc, while having lower peak performance has lower memory fragmentation helping to solve the framented memory issues that Redis experiences.
Source: engineering.kablamo.com.au
Top 15 Kafka Alternatives Popular In 2021
Redis is a known, open-source, in-memory data structure store that offers different data structures like lists, strings, hashes, sets, bitmaps, streams, geospatial indexes, etc. It is best utilized as a cache, memory broker, and cache. It has optional durability and inbuilt replication potential. It offers a great deal of availability through Redis Sentinel and Redis Cluster.
Source: www.spec-india.com

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

Social recommendations and mentions

Based on our record, Redis seems to be a lot more popular than Meilisearch. While we know about 216 links to Redis, we've tracked only 4 mentions of Meilisearch. 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.

Redis mentions (216)

  • Finding Bigfoot with Async Generators + TypeScript
    Of course, these examples are just toys. A more proper use for asynchronous generators is handling things like reading files, accessing network services, and calling slow running things like AI models. So, I'm going to use an asynchronous generator to access a networked service. That service is Redis and we'll be using Node Redis and Redis Query Engine to find Bigfoot. - Source: dev.to / 6 days ago
  • Caching Isn’t Always the Answer – And Here’s Why
    Slap on some Redis, sprinkle in a few set() calls, and boom—10x faster responses. - Source: dev.to / 6 days ago
  • RisingWave Turns Four: Our Journey Beyond Democratizing Stream Processing
    Real-time serving: Many push processed data into low-latency serving layers like Redis to power applications needing instant responses (think fraud detection, live recommendations, financial dashboards). - Source: dev.to / 19 days ago
  • Setup a Redis Cluster using Redis Stack
    Redis® Cluster is a fully distributed implementation with automated sharding capabilities (horizontal scaling capabilities), designed for high performance and linear scaling up to 1000 nodes. . - Source: dev.to / about 1 month ago
  • Modern Web Development Sucks? How PostgreSQL Can Replace Your Tech Stack
    Instead of spinning up Redis, use an unlogged table in PostgreSQL for fast, ephemeral storage. - Source: dev.to / 2 months 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 / 4 months ago
  • Show HN: Hyvor Blogs – Multi-language blogging platform
    Meilisearch [https://meilisearch.com] for the search index. - Source: Hacker News / almost 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

What are some alternatives?

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

MongoDB - MongoDB (from "humongous") is a scalable, high-performance NoSQL database.

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

ArangoDB - A distributed open-source database with a flexible data model for documents, graphs, and key-values.

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.

Apache Cassandra - The Apache Cassandra database is the right choice when you need scalability and high availability without compromising performance.

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

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