# DataRobot vs Encord: who uses which

On usedby, 24 companies use DataRobot and 25 use Encord. No company is listed with both yet. Counts include every proof level, job-post signals included. Companies named on both have a confirmed or observed line on each side. Latest check 2026-10-07: 49 of 49 public lines checked.

## Side by side

|  | [DataRobot](https://www.usedby.ai/tools/datarobot.md) | [Encord](https://www.usedby.ai/tools/encord.md) |
|---|---|---|
| Public customers | 24 | 25 |
| Confirmed | 9 | 11 |
| Observed | 15 | 14 |
| Signals (job posts) | 0 | 0 |
| Top industries of customers | Automotive Manufacturing (2), Data & Analytics (1), Energy, Utilities & Cleantech (1) | Artificial Intelligence (1), Automotive Manufacturing (1), Hospitals & Care Providers (1) |
| Category | ML Ops & Training | ML Ops & Training |
| Security | ISO 27001 ([datarobot.com](https://www.datarobot.com/trustcenter/), checked 2026-10-07) | — |
| Integrations | SAP HANA, SAP S/4HANA, SAP Datasphere, SAP IBP, SAP Ariba, SAP SuccessFactors, SAP CX ([datarobot.com](https://www.datarobot.com/solutions/partners/sap/), checked 2026-10-07) | AWS S3, Azure Data Lake Storage, Google Cloud Storage ([encord.com](https://encord.com/cloud-integrations/), checked 2026-10-07) |
| Data residency | — | US, EU ([encord.com](https://encord.com/security/), checked 2026-10-07) |

## Published results

Reviewed stories only; usedby did not measure the figures.

- DataRobot: [Personify Health](https://www.usedby.ai/case-studies/personify-health-datarobot.md): **82%**: “Personify Health is deploying models 82% faster with 80% accuracy.” (published 2024-12-04)
- DataRobot: [U.S. Army](https://www.usedby.ai/case-studies/u-s-army-datarobot.md): **$2.2B+**: “with $2.2B+ in excess funds identified at a 3x higher yield” (published 2022-04-06)
- Encord: [OnsiteIQ](https://www.usedby.ai/case-studies/onsiteiq-encord.md): **75%**: “75% reduction in time to value – implementation time decreased from 2 months to just 2 weeks” (published 2026-04-02)
- Encord: [Thoro.ai](https://www.usedby.ai/case-studies/thoro-encord.md): **50%**: “The team estimates they are at least 50% faster compared to earlier stages of the project” (published 2026-04-28)

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Source: https://www.usedby.ai/compare/datarobot-vs-encord · How we check: https://www.usedby.ai/methodology