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NetSpring vs. Mixpanel

Mixpanel is a popular product analytics platform built for Product teams. On the other hand, NetSpring is a next-generation platform built for both Product and Data teams.

NetSpring avoids the data silos and inconsistencies of first-generation platforms like Mixpanel. It is built on a warehouse-native architecture that aligns with a modern, composable data stack. This unlocks significant business benefits in terms of self-service access to all product and customer data, security & compliance, and cost.

NetSpring
Mixpanel
Core Templates
Fully supported
Fully supported
Self-serve common reports for event segmentation, funnel, path, retention, impact, etc.
Dashboards
Fully supported
Fully supported
Get a full picture of product performance and how customer behavior impacts key business metrics
Cohort Analysis
Fully supported
Fully supported
Group users based on common usage patterns, events, and attributes
Multi-Actor Analysis
Fully supported
Not supported
Analyze events across any actor, not just users
Ad Hoc Visual Exploration
Fully supported
Limited capabilities
Create flexible visualizations from any combination of events, metrics, and dimensions available from the warehouse through a freeform drag and drop template
Bring Your Own Data Model
Fully supported
Not supported
Natively leverage the existing schema in your warehouse, without requiring any changes
Flexible Data Model
Fully supported
Not supported
Natively leverage all data in the warehouse to calculate any metric or custom attribute, without writing any SQL
Transparent Query Generation
Fully supported
Not supported
See the exact SQL used to query the warehouse – no black boxes
Mutable Data
Fully supported
Not supported
Reflect changes to underlying records in the warehouse automatically in any existing analysis
No Data Duplication
Fully supported
Not supported
No copies of the data are required
Data Governance
Fully supported
Not supported
Leverage existing governance and data quality checks upstream of analytics tables in the warehouse
Security & Compliance
Fully supported
Not supported
Prevent sensitive data from leaving your secure enterprise environment
Manageability & Cost
Fully supported
Not supported
Avoid additional ETL or Reverse ETL pipelines
Cost vs. Performance
Fully supported
Not supported
Control the trade-offs between cost and performance based on your business needs at any given time
Data Warehouses
Fully supported
Not supported
Directly access and query data in Snowflake, Google BigQuery, AWS RedShift, or Databricks
Warehouse Activation
Fully supported
Not supported
Activate marketing, sales, customer success, and support programs off the single source of truth, without data duplication

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NetSpring vs. Mixpanel Resources

Buyers Guide for Warehouse-Native Product Analytics

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Ergatta Leverages Behavioral Analytics to Shape Fitness Habits of Users

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Bonfire case study

Bonfire Increases Activation Rates 80% with Behavioral Cohort Analysis

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Getting set up is easy.

Connect to Snowflake, BigQuery, Redshift or Databricks. Be up and running in hours.

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