ToolStack

PM Tools for Data Product Manager

Data PMs own data products — pipelines, models, dashboards, and data infrastructure. Your tools straddle product management and data engineering.

Must-have categories

  • Data warehouse or BI tool (Looker, Metabase)
  • Analytics tracking and instrumentation
  • Data documentation
  • Observability for data pipelines

Nice-to-have

  • +Experiment tracking
  • +dbt or data transformation visibility
  • +Customer data platform (Segment)

Recommended tools

#1
Metabase
4.3Free tier

Fully open-source free tier with no user limits — one of the most generous BI tool offerings for startups and small teams

#2
GrowthBook
4.7Free tier

Open-source and self-hostable — full control over data with no vendor lock-in, ideal for privacy-conscious teams

#3
Eppo
4.9

Warehouse-native architecture — connects directly to Snowflake, BigQuery, Databricks, and Redshift, keeping data in your existing infrastructure without duplication

#4
Kameleoon
4.6

Comprehensive platform combining A/B testing, feature flagging, and AI-driven personalization in a single solution — reduces tool sprawl

#5
Quantum Metric
4.5

Continuous product design (CPD) approach uniquely quantifies the revenue impact of digital friction, enabling PMs to prioritize fixes by dollar value rather than gut feeling

#6
Glassbox
4.6

Tagless, automatic data capture records 100% of user sessions without manual event instrumentation — dramatically reduces setup time and eliminates data gaps

#7
Frigade
4.8Free tier

Developer-first approach with React SDK and headless components — onboarding flows are deeply customizable and feel native to the product, not like bolt-on overlays

Interviewing for a Data Product Manager role?
Tool questions are common in PM interviews. See what interviewers ask.
Interview Prep →