1. Purpose: Dataform is primarily used for managing complex data workflows and building data pipelines, providing a layer of abstraction on top of SQL, while Datasette is more focused on quickly publishing and sharing data online through interactive, read-only interfaces.
2. User Interface: Dataform offers a web-based interface for defining and scheduling data transformation workflows, whereas Datasette mainly provides a web application for exploring and visualizing SQLite databases.
3. Data Manipulation: Dataform allows users to define and execute SQL queries, transformations, and validations on top of their data warehouse, whereas Datasette focuses on providing tools for querying, visualizing, and exporting data stored in SQLite databases.
4. Collaboration: Dataform is designed to support collaboration among data analysts or data engineers working on data projects, enabling versioning of code, sharing of datasets, and team coordination, while Datasette is more suitable for individual data enthusiasts looking to quickly share datasets with a wider audience.
5. Integration: Dataform can be integrated with various data warehouse platforms like BigQuery, Snowflake, and Redshift, enabling users to work on top of these systems seamlessly, whereas Datasette is specifically built to work with SQLite databases and may require additional setup for integration with other data sources.
6. Deployment: Dataform allows users to schedule and automate the deployment of data workflows and transformations to the data warehouse, ensuring that the latest data is always available for analysis, while Datasette focuses on providing a simple deployment process for publishing SQLite databases online for public access.

In Summary, Dataform is geared towards managing complex data workflows and enabling collaboration, while Datasette is more focused on quickly sharing and exploring data through interactive interfaces.