1. Data Collection Methodology: Iteratively uses code-free, point-and-click interactions to set up data pipelines, while Keen and Snowplow require developers to manually instrument code for tracking events, making them more suitable for technical users.
2. Data Ownership and Control: Keen and Snowplow allow organizations to own and have full control over their data by hosting it on their own infrastructure, whereas Iteratively operates on a cloud-based platform, limiting some aspects of data ownership.
3. Customization and Flexibility: Snowplow offers a high level of customization and flexibility in data collection and processing compared to Iteratively and Keen, which have predefined schemas and limitations in customization options.
4. Pricing Model: Keen offers a pay-as-you-go pricing model, allowing users to pay for only what they use, while Snowplow has a more complex pricing structure based on events and data volume. On the other hand, Iteratively offers a fixed pricing plan based on the number of users and data sources.
5. Real-Time Data Processing: Snowplow provides real-time data processing capabilities out-of-the-box, giving users immediate access to data insights, while Iteratively and Keen may require additional setups or configurations for real-time processing.
6. Integrations and Ecosystem: Keen and Snowplow have a broader range of integrations with third-party tools and services compared to Iteratively, which may limit the integration capabilities for users.

In Summary, Key differences between Iteratively, Keen, and Snowplow lie in their data collection methodology, ownership control, customization options, pricing models, real-time processing capabilities, and ecosystem integrations.