The use case: how Sovren deploys Elastic Cloud
Sovren runs the search and matching engine of its resume parsing and AI Matching product for recruiters on Elasticsearch Service on Elastic Cloud, replacing a legacy on-premises search solution that did not scale. Elastic Cloud also handles deployment, indexing and cluster capacity so the team can focus on product features.
More reported results
Figures published in Elastic Cloud’s case study. They are not independently measured by usedby.
Cloud-first solution slashed deployment time for new installations from 4-6 months to mere days, and reduced maintenance effort by 97%
Elasticsearch enabled Sovren to streamline its matching capabilities, improving overall query performance by 60x.
As a result of a 2019 marketing push, Sovren grew the total business almost 45% over a three-month time period.
And Parks delivered. He built a proof of concept on Elasticsearch Service in 48 hours, and completed a customer-ready product on a new architecture within 3 weeks.
In the customer’s words
Using Elasticsearch Service on Elastic Cloud has allowed me to offload searching and indexing and focus on the core competencies of our software, so I can further differentiate from competitors.Other companies using Elastic Cloud
Customers across industries, with public evidence.
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Based on Elastic Cloud’s published case study. We check the public evidence; the results are reported by the vendor.
elastic.co- Last checked
- Nov 12, 2026
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- The figure: 2000%Checked
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- Sovren uses Elastic CloudChecked
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With Elastic as the engine behind their updated product, Sovren increased customer adoption by over 2000%