When to use clickhouse and when meilisearch

 ClickHouse and MeiliSearch serve different purposes and are optimized for different types of workloads. Here’s a breakdown of when to use each:

Use ClickHouse when:

1. Analytical Queries: You need to perform complex analytical queries over large datasets quickly, such as aggregations, joins, and real-time data analysis.
2. Columnar Storage: You want to take advantage of ClickHouse's columnar storage for efficient read operations, especially with large volumes of data.
3. Data Warehousing: You’re building a data warehouse and need a high-performance engine for OLAP (Online Analytical Processing).
4. Real-time Analytics: You require real-time reporting on large datasets, such as monitoring metrics or log analysis.
5. Time-Series Data: You’re dealing with time-series data and need efficient storage and querying capabilities.

Use MeiliSearch when:

1. Full-text Search: You need a fast and flexible full-text search engine for searching through documents or records.
2. User-facing Search: You want to implement a search feature in applications, such as e-commerce sites or content management systems, where speed and relevance are critical.
3. Simplicity and Ease of Use: You prefer a simple setup and API for integrating search capabilities into your application without the complexity of a traditional database.
4. Autocomplete and Relevance: You need features like typo tolerance, synonyms, and custom ranking rules for improving user experience in search results.
5. Document-oriented Storage: You are storing JSON-like documents and need a search engine that handles this efficiently.

Summary

• Choose ClickHouse for heavy analytical workloads, data warehousing, and complex queries.
• Choose MeiliSearch for full-text search, user-facing search functionalities, and simplicity in setup.

If your project requires both analytical capabilities and search functionality, you might consider using both in tandem, depending on your architecture and use cases.