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Mixpanel vs. Amplitude vs. Klaritics: a fair comparison

An honest 2026 comparison of Mixpanel, Amplitude, and Klaritics. Pricing, architecture, governance, scale.

Klaritics Product

Klaritics Product · 2026-04-15 · 11 min

A geometric isometric scene with three differently-sized building blocks in blue, purple, and orange on the same plane.

TL;DR

Mixpanel and Amplitude both shifted their pricing models in 2024–2025 and are now closer to each other than ever. Mixpanel is event-based with a generous free tier (20M events). Amplitude is mostly MTU-based and tightly bundled with experimentation, feature flags, and AI features. Both are SaaS — your event data lives in their cloud.

Klaritics is the third option: self-hosted, warehouse-native. The product analytics engine deploys inside your infrastructure and queries your warehouse directly. No data leaves. No per-event metering. No surprise overage emails.

This post is the honest comparison. Some of it praises Mixpanel and Amplitude — they're good products. Some of it explains why a different architectural approach exists. Make your own call.

Why this comparison exists

Most "X vs Y vs us" posts are thinly veiled sales pitches. We're going to try not to write one of those. Mixpanel and Amplitude are widely loved for good reasons; we'll say so. We'll also be specific about where they hit limits — limits that don't have to do with feature lists, but with architecture and pricing models.

If you're choosing your first product analytics tool, you probably don't need this post. Mixpanel's free tier (20M events/month with unlimited collaborators since February 2025) is genuinely generous. Start there.

If you're already on Mixpanel or Amplitude and feeling friction — a renewal email that doubled, a security review that flagged a vendor data lake, a data team that's tired of maintaining two sources of truth — keep reading. We built Klaritics for you.

The three products in 30 seconds

Mixpanel. Event-based product analytics, founded 2009. Strong UI for funnels, retention, flows, cohorts, and session replay. Switched to event-based pricing in February 2025: free up to 20M events/month, paid scaling roughly $0.28 per 1,000 events thereafter Source: Userpilot. SaaS-only.

Amplitude. Founded 2012, evolved into a broader "digital analytics platform" with experimentation, feature flags, session replay, and AI-grounded analysis. Pricing is mostly MTU-based with custom Growth and Enterprise tiers — typical mid-market deals start around $995/month and scale Source: Userpilot. SaaS, with a warehouse-native ingestion option.

Klaritics. Self-hosted product analytics platform. Deploys inside your infrastructure (Kubernetes, Docker, or bare-metal Linux) and queries your warehouse directly — Snowflake, BigQuery, Redshift, PostgreSQL, ClickHouse. Per-deployment licensing, not per-event. Your data never leaves your perimeter.

Pricing: where the comparison gets real

Pricing is what triggers most teams to look elsewhere — so let's actually compare it.

Mixpanel (event-based, post-Feb 2025)

TierWhat you getCost
Free20M events/mo, unlimited collaborators, core reports$0
GrowthPer-event pricing above 20M, scaling discounts~$0.28 per 1,000 events
EnterpriseSSO, advanced governance, HIPAA tools, custom retentionCustom; reported public deals start ~$14K/year

Public reference points: 1.5M events ≈ $140/mo; 5M events ≈ $450/mo; 20M events ≈ $2,289/mo on the Growth plan Source: TemperStack.

Watch out for:

  • Group Analytics is an add-on, often priced as a percentage premium on data volume
  • Data Pipelines (warehouse export) typically priced separately, with reports of ~$19K+/year for larger setups Source: Costbench
  • Overage fees apply when you exceed plan limits

Amplitude (mostly MTU-based)

TierWhat you getCost
Starter (Free)50K MTUs, 10M events, feature flags, session replay$0
PlusUp to 300K MTUs, custom dashboards, behavioral cohortsFrom $49/mo, scales
GrowthCausal insights, A/B testing, real-time streaming, predictiveCustom; typically $995+/mo for mid-market
EnterpriseSSO, custom SLAs, governance at scaleCustom; reportedly $30K+/year per public contract data

Source: TemperStack

The MTU vs. event model trade-off: event-based pricing rewards efficient instrumentation; MTU pricing rewards low per-user engagement. If your product has high events-per-user (think: an editor, a trading app, a logistics dashboard), Mixpanel tends to be cheaper. If you have many low-engagement users (a content site, a directory), Amplitude can be cheaper.

Klaritics (per-deployment licensing)

TierWhat you getCost
StarterSelf-hosted, single instance, all warehouse connectors, 3 seats, 30-day retentionFree
GrowthProduction-ready deployment, unlimited seats, SSO, RBAC, 12-month retentionPer-deployment annual license
EnterpriseMulti-cluster, air-gapped, custom retention, 24/7 SLACustom

The headline difference: there's no per-event metering. You pay for the software license; you pay your warehouse provider (Snowflake, BigQuery, etc.) for compute and storage exactly as you already do. Your "analytics bill" is bounded — it's the license plus a marginal increase in warehouse spend (typically 5–20%).

The thing that's not in our pricing that is in theirs: vendor cloud costs. Mixpanel and Amplitude have to operate massive multi-tenant clouds at scale — they're paying for that cloud, and it shows up in your bill. We don't have a cloud. So we don't pass that cost along.

Architecture: where the actual difference lives

Pricing is downstream of architecture. Here's what each tool actually is, under the hood.

Mixpanel & Amplitude

Both are SaaS analytics platforms. You instrument your application with their SDKs (web, mobile, server). Events stream to their cloud, get processed and stored there, and are queried via their UI. Both also offer warehouse export — Mixpanel's Data Pipelines, Amplitude's warehouse-native ingestion — for teams that want a copy of the data in their own warehouse.

The default model: your event data lives in their cloud, with a copy syncing to your warehouse if you pay for that.

What this means in practice:

  • You're sending raw user behavior to a third party, often including PII unless carefully filtered
  • Your security and compliance teams need to assess them as a data processor (DPA, sub-processors, SOC 2, etc.)
  • Schema changes in your application require coordinated changes in their UI's tracking plan
  • If they have an outage, your dashboards are dark
  • If they raise prices or discontinue a feature, you migrate or pay

Klaritics

Klaritics ships software, not a service. The architecture is:

  1. You instrument events into your warehouse (via Segment, Rudderstack, Snowplow, your own SDKs, or — if events already land there — nothing at all)
  2. Klaritics deploys inside your environment (one Helm command, one Docker Compose file, or a Linux binary)
  3. Klaritics queries your warehouse directly when users build funnels, retention reports, cohorts, paths, and dashboards
  4. Aggregated query results cache inside the Klaritics deployment, on disks you control
  5. Your raw event data never leaves your warehouse

What this means in practice:

  • We are not on your subprocessor list
  • Your security review is shorter — same data flow your dbt and BI tools already follow
  • Schema changes in your warehouse are reflected immediately in Klaritics
  • You pull updates on your schedule
  • If our license server is unreachable, your deployment keeps running on the existing license

The "warehouse-native" distinction (and why we keep saying it)

Mixpanel and Amplitude both let you export events to your warehouse. Klaritics queries your warehouse directly, with no second copy.

It sounds like a small distinction. It's not.

With export-style integrations:

  • Two systems hold your event data — the vendor's cloud (the source of truth) and your warehouse (the export)
  • They drift. Schemas change. Counts disagree. The data team gets paged at 11pm to reconcile why retention in Amplitude shows 42% but in dbt shows 39%
  • You're paying for storage and ingestion in two places
  • The vendor's cloud is the "real" home of the data; the warehouse copy is downstream

With warehouse-native (Klaritics):

  • One copy of the data — in your warehouse — is the source of truth
  • Klaritics queries it. dbt models it. BI tools query it. Everyone agrees because everyone reads the same rows
  • Storage paid once
  • Schema changes propagate immediately

This is why Amplitude and Mixpanel both eventually shipped warehouse-native ingestion options: customers asked for it. The catch is that those options are a copy direction, not a home location. The vendor cloud is still the canonical store.

Feature parity: closer than you'd think

The hard thing for any new product analytics tool is matching the feature breadth of two products that have been at it for over a decade. Honestly: we don't match it pixel-for-pixel. We don't have to. Most teams use a small core of features — funnels, retention, cohorts, paths, dashboards, alerts — and Klaritics handles those at parity.

CapabilityMixpanelAmplitudeKlaritics
Funnels (ad hoc + saved)
Retention curves (N-day, unbounded)
Cohorts (behavior + traits + SQL)
Path analysis
Dashboards, alerts, embedding
Session replay✅ (add-on)❌ (not yet)
Feature flagsLimited❌ (use LaunchDarkly, Statsig, Unleash)
ExperimentationLimited❌ (use Statsig, Eppo, GrowthBook)
AI-grounded analysisSomeComing, on-prem-friendly
Self-hosted deployment
Warehouse-native (no second copy)❌ (export only)❌ (export only)
Per-deployment licensing

The honest summary: if you want a single bundled platform that does product analytics, experimentation, feature flags, and session replay, Amplitude is the most complete bundle today. If you want best-of-breed — product analytics that talks cleanly to your warehouse, with experimentation handled by Statsig or Eppo and feature flags by LaunchDarkly — Klaritics is built for that stack.

Where each one wins

Choose Mixpanel if…

  • Your product is mobile-first or B2C and you want fast time-to-insight
  • You want a generous free tier that doesn't choke at moderate scale
  • Your team values UI accessibility for non-technical PMs
  • You're under 20M events/month and don't need to integrate with a warehouse-first stack

Choose Amplitude if…

  • You want the most comprehensive bundle (analytics + experimentation + feature flags + replay) in one tool
  • You have a data team and engineers who can manage Amplitude's tracking plans and governance model
  • Your usage profile fits MTU pricing (B2B with valuable per-user engagement)
  • You need AI-grounded analysis that's already shipped

Choose Klaritics if…

  • Your data already lives in Snowflake, BigQuery, Redshift, Postgres, or ClickHouse — and you don't want a second copy
  • Self-hosted or VPC deployment is a hard requirement (compliance, regulated industry, sovereignty, air-gapped)
  • Your costs are growing faster than your usage and per-event pricing is the reason
  • Your data team wants product analytics queries to live in the same place as everything else: dbt models, BI dashboards, Jupyter notebooks

What we'll get wrong (and what we won't)

What we'll get wrong: UI polish and feature completeness in our first year. Mixpanel and Amplitude have huge head starts. We will be behind on session replay, on bundled experimentation, and on the long tail of small niceties that come from a decade of production use.

What we won't get wrong: the architecture. The reason Klaritics queries your warehouse and not our cloud is structural, not a choice we'll reverse. The reason we license per deployment instead of per event is structural, not a pricing tactic.

If those structural choices solve a real problem for you, the rest is something we'll close on. If you need a fully-bundled SaaS today, you might want to wait — or, more likely, just use Mixpanel or Amplitude. They're good products.

Try it

Klaritics has a free Community Edition. One Helm command, one Docker Compose file, or a Linux package. Connect your warehouse. Build your first funnel.

Deploy Klaritics → · Read the docs →

If you'd rather see it live first: book a 20-minute walkthrough — a real engineer will connect Klaritics to a sample warehouse and show you funnels, retention, and cohorts on real data.

About the author

The Klaritics product team writes about positioning, pricing, and the architectural choices behind warehouse-native analytics.

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