Iteratively vs Keen vs Snowplow

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Iteratively

6
16
+ 1
0
Keen

228
156
+ 1
268
Snowplow

129
174
+ 1
35

Iteratively vs Keen vs Snowplow: What are the differences?

  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.

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Pros of Iteratively
Pros of Keen
Pros of Snowplow
    Be the first to leave a pro
    • 57
      Very powerful API
    • 43
      Easy setup
    • 31
      Great Customer Support
    • 24
      Customization
    • 24
      Built by developers for developers
    • 19
      Dashboards
    • 18
      Developer Friendly
    • 12
      It's awesome
    • 11
      Developer logging
    • 10
      Heroku Add-on
    • 6
      Github Integration
    • 5
      Saved queries
    • 4
      Segment Integration
    • 2
      Data Collection from any source
    • 1
      Very easy to get started. Loads of potential!
    • 1
      Good API
    • 7
      Can track any type of digital event
    • 5
      First-party tracking
    • 5
      Data quality
    • 4
      Real-time streams
    • 4
      Completely open source
    • 4
      Redshift integration
    • 3
      Snowflake integration
    • 3
      BigQuery integration

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    Cons of Iteratively
    Cons of Keen
    Cons of Snowplow
      Be the first to leave a con
      • 1
        Limited concurrent queries
        Be the first to leave a con

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        What is Iteratively?

        Iteratively helps teams capture reliable product analytics they can trust. It eliminates the most common causes of error during the definition and implementation of tracking plans, and cuts down on the time it takes to correctly instrument the product. As a result, folks that consume product analytics get exactly what they spec'd out and can rely on the incoming data knowing it is trustworthy and accurate.

        What is Keen?

        Keen is a powerful set of API's that allow you to stream, store, query, and visualize event-based data. Customer-facing metrics bring SaaS products to the next level with acquiring, engaging, and retaining customers.

        What is Snowplow?

        Snowplow is a real-time event data pipeline that lets you track, contextualize, validate and model your customers’ behaviour across your entire digital estate.

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        What tools integrate with Iteratively?
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        What are some alternatives to Iteratively, Keen, and Snowplow?
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        NumPy
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