Case Study: CarJager achieves scalable vehicle search and lower costs with Meilisearch

A Meilisearch Case Study

Preview of the CarJager Case Study

CarJager runs 1.3M+ monthly searches on Meilisearch with zero DevOps

CarJager, a French marketplace for classic and vintage cars, was facing scaling challenges with its incumbent search provider, Algolia. The primary issues were a hard ceiling of 1,000 entities for sorted results and a pricing model that was disproportionate to their usage. With a lean team and zero dedicated DevOps resources, they needed a managed search solution that was both cost-effective and easy to maintain.

By migrating to Meilisearch Cloud, CarJager implemented a solution with a familiar API and no artificial sorting limits. The results included stable performance during traffic peaks, a significant reduction in their search bill, and the ability to handle over 1.3 million searches per month. The Meilisearch autoscaling model also removed all infrastructure management overhead for their team.


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