Adopted · Vendor case study · Jul 2019 · Delta Lake, MLflow
Sessionizes petabytes of voice remote and set-top telemetry and manages hundreds of ML models
Stated outcome: 640 ingestion machines replaced with 64
Delta Lake has enabled Comcast to optimize data ingestion, replacing 640 machines with 64 while improving performance.
From Customer Story: Comcast | Databricks, databricks.com, Jul 2019.7 years agoChecked Sep 23, 2026 Comcast stack · Databricks customers
AWSNamed AWS its preferred public cloud, migrating material workloads and building new appspress.aboutamazon.comStory →| What |
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| Nov 2025Comcast Advertising packages forecasting models as interactive what-if apps for sales teams |
| Jan 2018Named AWS its preferred public cloud, migrating material workloads and building new appsAWSExpandedpress.aboutamazon.com |
| UndatedSecurity data lake at the core of its cybersecurity data fabric for threat hunting and compliance |
| What |
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| Oct 2026Sharing governed construction data tables with customers for hourly analytics refreshesunverified |
| Oct 2026Test code changes and AI coding agents on Postgres branches of production data for pull requestsunverified HamletAdopteddatabricks.com |
| Oct 2026Configure governed data models and publish attributes to build audiencesunverified |
| Oct 2026Build audiences in natural language using trusted customer dataunverified |
| Sep 2026Databricks platform as a service subscription |
| Sep 2026BPA call order for the procurement of Databricks professional services. all terms and conditions from the BPA |
Storiesby Glyph