Project Nessie vs Roboflow
Project Nessie
projectnessie.orgRoboflow
roboflow.comSide by side
| Figure | Project Nessie | Roboflow |
|---|---|---|
| Price from | — | $39/mo |
| Free plan | — | Yes |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | Yes |
| macOS | — | Yes |
| Linux | Yes | Yes |
| iOS | — | Yes |
| Android | — | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 0 | 6 |
| Spec score · Data Version Control Tools | 7.2 (#33) | 8.7 (#6) |
| Integrations | The project documents using Nessie with Spark, Flink, Hive, and Trino through Iceberg. | Roboflow lists 38 integrations, including AWS S3, CVAT, Labelbox, Amazon SageMaker, Google Colab, Kubernetes, Jetson, Raspberry Pi, iOS, and Zapier. |
| Security | Nessie supports authentication using OpenID Connect bearer tokens, and its documentation describes authorization controls. | Roboflow’s Trust Center states that it uses AES-256 encryption and provides access to security materials including SOC 2 and HIPAA information. |
| What it does | Project Nessie is a transactional catalog for data lakes with Git-like semantics and data version control. | Roboflow is a computer vision platform for collecting and labeling image or video data, training models, building vision applications, and deploying inference to cloud or edge devices. |
Plans
Roboflow
- Free TierFree
- Free TierFree
- Core$39 a month
- Core$39 a month
- EnterprisePriced on request
- EnterprisePriced on request
In their own words
Project Nessie
Project Nessie has no write-up on Specifiction yet; its figures are above.
Roboflow
Roboflow provides tools for building, deploying, and monitoring computer vision applications, from dataset preparation through model inference. Its dataset features include image annotation, video frame extraction, preprocessing, and augmentation; annotation types include boxes, polygons, segmentation masks, classification labels, and keypoints. Exports include JSON, XML, CSV, TXT, and more than 30 additional formats. A hosted inference API runs models on autoscaling infrastructure with load balancing and burst support. Deployment options include roboflow.js, NVIDIA Jetson, Luxonis OAK, iOS, self-hosting, VPC, and on-premise environments. The Free Tier costs nothing and includes 10 credits monthly, stated as enough for about 30 model trainings or 80,000 inferences. Core costs $39 a month, billed monthly, with 20 credits and a private workspace and models. The pricing comparison lists one model training at a time by default and 20 projects for Core. Roboflow states it encrypts data in transit and at rest and is SOC 2 Type 2 compliant; enterprise pricing is custom.