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Databricks Software / SaaS United States

Sovrn

Data Lake / Data Warehouse Modernization · Marketing Personalization · Real-time Analytics

To operate at this scale, Sovrn needed to turn siloed Commerce and Ad Exchange data into actionable insights. Previously, fragmented systems, costly infrastructure and complex governance slowed innovation and increased overhead.

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30% Increase in publisher yield with smarter audience targeting and traffic shaping
5x Faster data pipelines deliver insights to publishers more quickly
70% Cost savings after migrating EMR workloads to Databricks
Sovrn empowers 6,000+ publishers and creators by providing the data and insights needed to thrive on the open internet.

Reported impact

Business outcome

Sovrn achieved measurable business impact on Databricks, including 70% Cost savings after migrating EMR workloads to Databricks; 5x Faster data pipelines deliver insights to publishers more quickly; 30% Increase in publisher yield with smarter audience targeting and traffic shaping.

  • Cost Reduction
  • Productivity Improvement
  • Revenue Growth

Solution

Sovrn empowers 6,000+ publishers and creators by providing the data and insights needed to thrive on the open internet. To operate at this scale, Sovrn needed to turn siloed Commerce and Ad Exchange data into actionable insights. Previously, fragmented systems, costly infrastructure and complex governance slowed innovation and increased overhead. With the Databricks Data + AI Platform, Sovrn unified its data to deliver AI-driven insights efficiently, enabling smarter audience targeting and monetization strategies that increased publisher yield by 30%. Sovrn empowers 6,000+ publishers and creators to thrive on the open internet by delivering the advertising demand that sustains their businesses.

Data flow

Marketing, audience, and engagement data lands in Databricks and is transformed into curated datasets stored in Delta Lake before being served through AI/BI, Delta Sharing

Solution architecture

3 components · 2 layers
  1. Storage
    • Delta Lake Stores Sovrn's curated datasets for analytics, machine learning, and operational use cases.
  2. Serving
    • AI/BI Delivers business-facing dashboards and governed analytics for Sovrn.
    • Delta Sharing Shares curated datasets with partners, customers, or internal domains without copying data.

Architecture clues

  • Cloud: AWS
  • Key product: AI/BI
  • Key product: Delta Lake
  • Key product: Delta Sharing
  • Real-time or streaming data processing

Evidence from the source

30% Increase in publisher yield with smarter audience targeting and traffic shaping
5x Faster data pipelines deliver insights to publishers more quickly
70% Cost savings after migrating EMR workloads to Databricks
Sovrn empowers 6,000+ publishers and creators by providing the data and insights needed to thrive on the open internet.
With the Databricks Data + AI Platform, Sovrn unified its data to deliver AI-driven insights efficiently, enabling smarter audience targeting and monetization strategies that increased publisher yield by 30%.
Transparency Evidence & methodology 95/100 reference value · 89% confidence · 1 source

Review how this reference was scored and trace each normalized claim back to its documented source.

01

Scoring methodology

How scores are calculated

Customer Reference Value measures usefulness as a customer reference. Evidence Confidence measures the quality and traceability of available evidence, not independent verification.

Customer reference value95/100
  • Problem clarity20/20
    Measures whether the customer's operational problem is specific enough to compare.
  • Implementation depth20/25
    Rewards named components, data flow, integrations, and architecture detail.
  • Outcome specificity20/20
    Measures whether the reported benefit is concrete rather than a generic claim.
  • Quantified impact25/25
    4 metrics describe measurable impact.
  • Deployment scale10/10
    Rewards evidence of a live or scaled deployment and meaningful integration scope.
Evidence confidence89%
  • Source authority20/25
    The main evidence is an official vendor-published customer story.
  • Claim traceability21/25
    10 of 12 key fields link to a named source.
  • Direct evidence20/20
    5 direct source quotes retained.
  • Date provenance10/10
    The publication date comes from the source page or publisher.
  • Source transparency8/10
    1 source reference document publisher, URL, authority, retrieval, and supported fields.
  • Implementation specificity10/10
    Rewards source-backed components, data flow, quantified impact, and a specific outcome.
02

Traceability

Sources & provenance

Field coverage shows which facts each source supports. Dates are shown only when documented by the source.

  1. Databricks

    Sovrn customer story

    First-party
    https://www.databricks.com/customers/sovrn
    Source type
    Vendor-published customer story
    Published
    Sep 22, 2025
    Supports
    • Customer
    • Business problem
    • Solution
    • Products
    • Solution components
    • Data flow
    • Integrations
    • technical area
    • use case category
    • Business outcome
    • outcome category
    • Metrics
    • Architecture
    • evidence quotes
    • Publication date

Date evidence

  • Published on source page Sep 22, 2025 · Databricks · First-party
    Open date source
Not separately sourced Industry, Region, Company size. Treat these normalized attributes as lower-confidence until a dedicated source is added.

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