Elasticsearch VS Jekyll

Compare Elasticsearch vs Jekyll and see what are their differences.

Elasticsearch

Free and Open, Distributed, RESTful Search Engine (by elastic)

Jekyll

:globe_with_meridians: Jekyll is a blog-aware static site generator in Ruby (by jekyll)
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Elasticsearch Jekyll
91 253
67,391 48,232
0.9% 0.5%
10.0 8.9
3 days ago 16 days ago
Java Ruby
GNU General Public License v3.0 or later MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

Elasticsearch

Posts with mentions or reviews of Elasticsearch. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-10-18.

Jekyll

Posts with mentions or reviews of Jekyll. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-03-14.

What are some alternatives?

When comparing Elasticsearch and Jekyll you can also consider the following projects:

OpenSearch - 🔎 Open source distributed and RESTful search engine.

Apache Superset - Apache Superset is a Data Visualization and Data Exploration Platform [Moved to: https://github.com/apache/superset]

bleve - A modern text/numeric/geo-spatial/vector indexing library for go

pgvector - Open-source vector similarity search for Postgres

Whoosh

MeiliSearch - A lightning-fast search API that fits effortlessly into your apps, websites, and workflow

Metabase - The simplest, fastest way to get business intelligence and analytics to everyone in your company :yum:

elasticsearch-dsl-py - High level Python client for Elasticsearch

Hugo - The world’s fastest framework for building websites.

Milvus - A cloud-native vector database, storage for next generation AI applications

Typesense - Open Source alternative to Algolia + Pinecone and an Easier-to-Use alternative to ElasticSearch ⚡ 🔍 ✨ Fast, typo tolerant, in-memory fuzzy Search Engine for building delightful search experiences

django-haystack - Modular search for Django