For the 2026 cycle, MySQL remains a preferred RDBMS for caching large-scale automotive data due to its high performance with large datasets.

Tables like: articles , vehicles , suppliers , oe_numbers , article_attributes , link_article_vehicle

: Due to the nearly 700GB total size (data + media), high-speed SSD storage and optimized server settings are essential for maintaining performance. Verdict

This integration is just the beginning. By having a robust MySQL foundation for our TecDoc data, we are ready to scale our catalog to thousands of new listings while maintaining the high level of accuracy our customers expect.

Stay tuned for more technical deep-dives into how we’re optimizing our automotive platform!

Recommended for high-speed searches and custom filtering. A local setup typically requires at least 2 GB RAM , with 1.5 GB dedicated to MySQL. 2. Database Setup & Import

-- Index for quick part number lookups ALTER TABLE articles ADD INDEX idx_article_nr (article_nr); -- Composite index for fast vehicle-to-part category lookups ALTER TABLE article_links ADD INDEX idx_type_generic (type_id, generic_article_id); Use code with caution. 6. Practical Query Examples for Developers

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