Best Analytics & CDP (2025)
Ranked picks for analytics & cdp. No "it depends."
🧊Nice Pick
Mixpanel
The go-to for product analytics, if you can stomach the price tag and the occasional data swamp.
Full Rankings
#1
Details →Mixpanel
Nice PickThe go-to for product analytics, if you can stomach the price tag and the occasional data swamp.
Pros
- +Powerful event-based tracking for granular user behavior insights
- +Intuitive funnels and retention reports that make sense to non-technical teams
- +Real-time data updates so you're not waiting hours for insights
- +Strong segmentation capabilities for targeting specific user cohorts
Cons
- -Pricing can skyrocket quickly as your event volume grows
- -Implementation can get messy without strict governance, leading to data bloat
The product analytics darling that makes you feel like a data wizard, until you realize you're just tracking clicks.
Pros
- +Intuitive funnel and retention analysis that actually helps you spot user drop-offs
- +Powerful user segmentation that lets you slice data by behavior without SQL
- +Real-time event tracking that updates dashboards faster than you can say 'A/B test'
- +Great for non-technical teams with drag-and-drop tools that don't require a data engineer
Cons
- -Pricing can skyrocket as your event volume grows, leading to sticker shock
- -Custom queries and advanced analytics still need workarounds or external tools
Compare:vs Mixpanel
The BI platform that makes data modeling feel like a full-time job, but at least the dashboards look pretty.
Pros
- +Powerful LookML modeling language for reusable, version-controlled data definitions
- +Seamless integration with modern data warehouses like BigQuery and Snowflake
- +Self-service analytics that empowers non-technical users to build custom reports
Cons
- -Steep learning curve for LookML, requiring dedicated data engineers or analysts
- -Pricing can be prohibitive for small teams, with enterprise-focused costs
The data plumber you didn't know you needed until your analytics stack became a spaghetti mess.
Pros
- +Single API to collect once and route everywhere, saving dev time on custom integrations
- +Maintains data quality and compliance with built-in governance tools
- +Unifies customer profiles across sources for better insights
Cons
- -Pricing can escalate quickly with high event volumes
- -Complex setup for advanced routing and transformations
Automatic analytics that captures everything, so you can stop guessing what users actually do.
Pros
- +Auto-captures all user events without manual instrumentation
- +Retroactive analysis lets you query past data without pre-defining events
- +Intuitive visual interface for non-technical team members
- +Session replay and heatmaps integrated with analytics
Cons
- -Can become expensive quickly as data volume grows
- -Data sampling on free and lower-tier plans limits accuracy
- -Requires careful data governance to avoid noise from irrelevant events
Head-to-head comparisons
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