Amazon SageMaker Feature Store vs Chalk

Amazon SageMaker Feature Store has no write-up on Specifiction yet; its figures are above.

Chalk is a production AI platform combining data context, model runtime, and tools for evaluating and improving models and agents. Its feature store and federated database engine resolve features from streams, databases, and APIs at query time, making connected information available during inference. Runtime tools include model serving, GPU workloads, agent sandboxes, and a model gateway supporting providers such as OpenAI, Anthropic, Gemini, Vertex, Bedrock, Cohere, and Mistral, plus OpenAI-compatible endpoints. Teams can also use evaluations, traces, notebooks, and fine-tuning. Chalk can run in AWS, GCP, or Azure, with self-hosted data-plane workloads inside the customer's cloud; a Chalk-hosted option is also described. Agent sandboxes use gVisor isolation and can limit outbound network access by hostname, CIDR, and port. Chalk identifies data engineers, MLOps teams, AI/ML engineers, data scientists, and AI platform engineers as audiences. Pricing is available on request. Chalk announced completion of a SOC 2 Type I audit in March 2023, with the report available by request.