Databricks vs Sama

Databricks' tooling for building, fine-tuning, serving and evaluating models and agents on lakehouse data.

Lakehouse platform for storing, governing, querying and sharing enterprise data.

A managed hybrid semantic, keyword and vector search service (formerly Mosaic AI Vector Search) with automatic data sync and Unity Catalog governance.

Sama's data annotation and validation platform, combining annotation tooling, SamaAssure quality assurance, SamaHub project management and reporting, and SamaIQ analytics, with a REST API and CLI for pipeline integration.

Sama Annotate is Sama's enterprise data annotation offering, delivering image, video and 3D point cloud labeling through a full-time in-house annotation workforce working on the Sama Platform, with CLI and API access for automated data workflows.

Sama Curate is a data curation offering that uses filtering and curation algorithms to suggest which assets in a raw dataset should be labeled, so teams annotate only the data most likely to improve an ML model.

Sama GenAI supplies human-generated training and evaluation data for foundation models, covering model validation and fact checking, instruction following, preference ranking, image and video captioning, creative writing, synthetic data creation and RAG evaluation.

Sama Validate is a managed human-in-the-loop service in which trained reviewers inspect and correct a customer's model predictions across image, video and 3D point cloud data and report where the model performs well or poorly.