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ParadeDB VS Meilisearch

Compare ParadeDB VS Meilisearch and see what are their differences

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ParadeDB logo ParadeDB

ParadeDB is an ElasticSearch alternative built on Postgres, engineered for lightning-fast full text, similarity, and hybrid search.

Meilisearch logo Meilisearch

Ultra relevant, instant, and typo-tolerant full-text search API
Not present
  • 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.

Category Popularity

0-100% (relative to ParadeDB and Meilisearch)

ParadeDB

Meilisearch

Search Engine
24 24%
Search Engine
76% 76
Custom Search Engine
23 23%
Custom Search Engine
77% 77
Custom Search
24 24%
Custom Search
76% 76
Postgres
100 100%
Postgres
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 ParadeDB and Meilisearch

ParadeDB Reviews

We have no reviews of ParadeDB yet.
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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."
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, Meilisearch seems to be more popular. It has been mentiond 3 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.

ParadeDB mentions (0)

We have not tracked any mentions of ParadeDB yet. Tracking of ParadeDB recommendations started around Jan 2024.

Meilisearch mentions (3)

  • Show HN: Hyvor Blogs – Multi-language blogging platform
    Meilisearch [https://meilisearch.com] for the search index. - Source: Hacker News / about 1 year 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 2 years ago
  • Search engines for website
    Algolia.com - new plans are very affordable Meilisearch.com - open source. Source: about 3 years ago

What are some alternatives?

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

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

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.

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

PostgreSQL - PostgreSQL is a powerful, open source object-relational database system.

Apache Solr - Solr is an open source enterprise search server based on Lucene search library, with XML/HTTP and...

Vespa.ai - Store, search, rank and organize big data

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