1. Deployment Model: AWS Batch is a managed service that allows users to run batch computing workloads while Knative is an open-source serverless platform that provides a runtime environment to deploy and run applications. The key difference here is that AWS Batch is a fully managed service provided by Amazon Web Services (AWS), while Knative is an open-source project that can be run on any cloud provider or even on-premises.

2. Workload Types: AWS Batch is specifically designed for running batch computing workloads, which are typically long-running tasks that do not require immediate response. On the other hand, Knative is a serverless platform that supports different types of workloads, including batch, event-driven, and long-running tasks. This means that Knative offers a more versatile platform for running various types of workloads compared to AWS Batch.

3. Auto Scaling: AWS Batch provides built-in capabilities for automatic scaling of compute resources based on the workload demands. It allows users to define and configure compute environment scaling rules, which are then automatically applied to ensure that the required resources are available for running batch jobs. Knative, on the other hand, does not provide automatic scaling out of the box. Users need to manually configure the scaling behavior using Kubernetes Horizontal Pod Autoscaling (HPA) or other mechanisms.

4. Integration with Container Orchestrators: AWS Batch seamlessly integrates with the Amazon Elastic Container Service (ECS) and Kubernetes, allowing users to leverage their existing container orchestration capabilities. It provides a simplified interface for managing batch workloads while benefiting from the scalability and reliability features of ECS or Kubernetes. Knative, however, is built on top of Kubernetes and provides a higher-level abstraction for deploying and running serverless workloads. It eliminates the need for directly interacting with Kubernetes and provides a more developer-friendly experience.

5. Cost Model: AWS Batch follows a pay-as-you-go pricing model, where users are charged based on the usage of compute resources, storage, and data transfer. The pricing is transparent and predictable, allowing users to estimate their costs in advance. Knative, being an open-source project, does not have any direct cost associated with it. However, users need to consider the underlying infrastructure costs if they choose to run Knative on a cloud provider.

6. Vendor Lock-in: AWS Batch is a proprietary service offered by Amazon Web Services, which means that users are tied to the AWS ecosystem and cannot easily migrate their workloads to another cloud provider. Knative, being an open-source project, provides more flexibility and freedom for users to deploy and run their workloads on different cloud providers or even on-premises. This reduces the vendor lock-in risk and allows users to choose the best platform for their specific needs.

In Summary, AWS Batch is a managed service designed for running batch computing workloads, while Knative is an open-source serverless platform that supports various types of workloads. The key differences include the deployment model, workload types, auto scaling capabilities, integration with container orchestrators, cost model, and vendor lock-in risk.