Leveraging Elasticsearch for a 1,000% performance boost

Voxpopme, a leading video insight platform founded in 2013, has transformed its technology stack to cope with rapid growth, particularly in video survey processing, by integrating Elasticsearch to significantly enhance search performance. Previously reliant on a monolithic PHP application with separate MySQL and MongoDB databases, Voxpopme faced scalability issues that prompted a shift to Elasticsearch, enabling faster, more efficient data retrieval by consolidating disparate data into single JSON documents. Initial testing with Amazon Elasticsearch Service proved insufficient under load, leading to the adoption of Elastic Cloud, which delivered superior query performance and latency reduction. The transition not only improved user experiences but also provided new opportunities for data visualization and operational insights, allowing Voxpopme to better monitor server health and optimize resource use. The company continues to refine its processes and explore Elasticsearch for internal data analysis to support ongoing growth and efficiency improvements.

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