Manticore Search
Experience a fast, open-source database for search. Get powerful vector search, a SQL interface, and full-text capabilities. A cost-effective Elasticsearch alternative.
Manticore Search is a fast, open-source database built specifically for search applications. It focuses on delivering low response times and high throughput, making it exceptionally efficient for analyzing large datasets. The database is designed to be cost-effective, performing powerfully even on minimal hardware resources like a single CPU core and 1GB of memory.
It serves as a powerful Elasticsearch alternative, demonstrating significantly better performance in various benchmarks for big data and log analytics. You can integrate it with tools like Kibana for a familiar experience with enhanced speed.
Key capabilities include:
- Vector Search: Perform advanced semantic and vector searches.
- Full-text Search: Robust and fast full-text search capabilities.
- SQL Interface: Interact with your data using a familiar SQL-based language.
- Easy Integration: Simple to set up and use with popular programming languages like Python, PHP, Java, and Go.
- Truly Open Source: Published under the Apache 2.0 license, ensuring it remains free to use and modify.
Directory Structure
manticore-search
manticore
manticore-data
.env
docker-compose.yml
docker-compose.yml
services:
manticore:
image: manticoresearch/manticore:latest
container_name: manticore
restart: unless-stopped
ports:
- "9306:9306"
- "9308:9308"
- "9312:9312"
volumes:
- ./manticore-data:/var/lib/manticore
environment:
- EXTRA=1
.env
# No sensitive environment variables are required for the default Manticore Search deployment.
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