Case Study: Metaimpact achieves real-time visibility and 2x memory efficiency with Imply Polaris

Metaimpact improves query speed to under 120 ms with Imply Polaris

Metaimpact, formerly known as MetaCX, faced challenges in managing real-time data analytics for its B2B collaboration platform. Their initial solution using Imply Enterprise was improved but still required significant infrastructure management and struggled with efficiently handling data upserts and complex customer mappings at scale, which led them to seek a better solution from Imply.

By upgrading to Imply Polaris and implementing its Dimension Tables feature, Metaimpact found a more efficient and scalable solution for data joins and upserts. This transition with Imply resulted in an average query speed under 120 ms, improved memory efficiency by at least 2x, simplified infrastructure management, and reduced their total cost of ownership by over 10%.

Metaimpact