Google Analytics 4 alternatives: how to choose by the job

Most teams that want to leave Google Analytics 4 (GA4) don't need a different tool; they need a different job done. If your problem is retention, export caps or sampling, look first at Analytics 360 or the BigQuery export. If it is product engagement, privacy and data residency, or owning raw events in your warehouse, there is a better tool for each, and they are not interchangeable.

This guide groups the alternatives by that job: enterprise suites, product analytics, privacy-first web analytics and warehouse-native collection. Each one gets the same fields, and every capability and price links to the vendor's own documentation.

How I compared them. Criteria: data model, retention and sampling, raw data access, privacy and hosting, ecosystem, and public pricing. All facts come from each vendor's official documentation or pricing page, checked in October 2026. I have not tested these tools for this post, and pricing that a vendor does not publish appears as "not public".

Leave GA4 only if your problem is one GA4 can't solve

GA4 standard is free (Google), and the BigQuery export gives you event-level data. Before you replace it, check whether the paid tier fixes the problem:

Sources: Analytics 360 limits, retention, sampling and BigQuery export, all Google, as of October 2026.

Consider leaving GA4 if:

• the main question is product behavior (activation, retention cohorts, feature usage) and your product team lives in that analysis every day;
• your legal or DPO team requires EU-only hosting, self-hosting, or analytics without cookies;
• you want to own raw behavioral data in your own warehouse with a schema you define, not Google's export schema;
• you already run the Adobe Experience Cloud and want one collection layer for analytics, testing and personalization.

Stay on GA4 (or move to 360) if:

• most of your media spend is Google Ads, Search Ads 360 or Display & Video 360, and you depend on key events flowing into bidding;
• your analysts already work in BigQuery on the GA4 export;
• your real problem is implementation quality. A new tool does not fix a broken data layer; auditing your GA4 implementation comes first.

The criteria that decide, and how much each weighs

Not every criterion weighs the same for every team. Start from the job you need done.

• Data model. Events with parameters (GA4, Amplitude, Mixpanel) or variables with persistence rules (Adobe Analytics). Check it against your written specification, not the demo. If you don't have one, write a solution design document before the RFP.
• Retention and sampling. How far back can your analysts query at event level, and at what volume does the tool start estimating? Ask for the contract number, not the marketing page.
• Raw data access. Export to your warehouse, sync from your warehouse, or collection straight into it. Each has a different cost and a different owner.
• Privacy and hosting. Where data is processed and stored, whether the tool sets cookies, and how it reads consent from your CMP. For EU teams this often weighs more than features.
• Ecosystem. Which media and activation platforms receive audiences or key events natively. Leaving GA4 usually means rebuilding the link to Google Ads.
• Cost by volume. Most tools price by events, actions, pageviews or hits. Model your current volume and your volume in three years.
• Learning curve. Who will use it every week, and what they need to learn. A tool only analysts can use moves the bottleneck, it doesn't remove it.

How to weigh them: a marketing team with EU constraints puts privacy and hosting first; a product-led company puts the data model and cohort analysis first; a data team with a mature warehouse puts raw data access first.

Questions for the RFP

Copy these into your RFP or your first vendor call:

• Which events, properties and custom dimensions does our specification need, and which limits in your contract would we hit in year one?
• What is the retention period for event-level data, and what does it cost to extend it?
• At what query volume do you sample or approximate results, and can we get unsampled results on demand?
• How do we get raw, event-level data into our warehouse, how often, and at what extra cost?
• Where is our data processed and stored, and can we choose the region?
• How does your tag read consent from our CMP, and what is collected when consent is denied?
• Which media platforms receive key events or audiences natively, and which need a custom integration?
• What does pricing look like at our current volume and at three times that volume?
• What does migration support include: historical data, implementation, training?
• Which customers of our size and industry can we talk to without your sales team on the call?

Red flags in a vendor's answers

• No written limits. If the vendor can't send its event, property and retention limits in writing, you will find them in production.
• "Unlimited" without a contract clause. Unlimited volume, retention or users with no definition in the order form is a sales promise, not a feature.
• No raw data export, or export only on the top tier. Your data then lives where the vendor decides.
• Consent as a checkbox. If nobody can explain what the tag sends before and after consent, your legal team will have to find out.
• Migration with no parallel run. A vendor that proposes switching off GA4 on day one is not planning for the comparison you will need.

The alternatives, grouped by the job they do

The groups follow the job, and vendors appear alphabetically within each group. None is ranked.

Enterprise analytics suites

Adobe Analytics

• What it does: web and app analytics on report suites with eVars, props and events; up to 250 eVars depending on contract, 75 props (Adobe). Default retention of 25 months, extendable by contract (Adobe). Raw data leaves through hourly or daily data feeds to S3, Google Cloud or Azure (Adobe).
• Best for: large organizations already on the Adobe Experience Cloud, with an analytics team that maintains a detailed specification.
• Not for: teams without dedicated implementation resources, or teams that want to start without a variable design.
• Pricing (public, October 2026): not public. Adobe sells Select, Prime and Ultimate packages by quote (Adobe).
• Source: Adobe Experience League and Adobe's pricing page, October 2026.

Adobe Customer Journey Analytics

• What it does: Analysis Workspace on top of Adobe Experience Platform datasets, combining online and offline sources such as call center and point-of-sale data. Adobe says it removes the eVar and prop limits and offers SQL access through Query Service (Adobe).
• Best for: cross-channel journey analysis in organizations that run, or plan to run, Adobe Experience Platform.
• Not for: teams that only need web analytics; the platform dependency is the price of the flexibility.
• Pricing (public, October 2026): not public. Adobe quotes it by data streams, users and use cases (Adobe).
• Source: Adobe Experience League and Adobe's pricing page, October 2026.

Product analytics

Amplitude

• What it does: event-based product analytics with behavioral cohorts, alerts and session replay. The Plus plan includes 2-year retention, according to Amplitude (Amplitude).
• Best for: product and growth teams analyzing activation, retention and feature use.
• Not for: marketing teams that need Google Ads conversion imports and audience sharing of the kind GA4 has. Amplitude does offer attribution models (Amplitude, attribution) and imports ad spend from networks such as Google and Facebook for ROAS reporting (Amplitude, marketing analytics), but it is built first for product questions.
• Pricing (public, October 2026): Free up to 2 million events per month; Plus starts at $0 with the first 2 million events free and scales to 70 million; Growth and Enterprise are custom quotes (Amplitude).
• Source: Amplitude's pricing page, October 2026.

Mixpanel

• What it does: event-based product analytics. Warehouse Connectors sync tables from Snowflake, BigQuery, Databricks, Redshift or Postgres into Mixpanel, one way (Mixpanel).
• Best for: product teams that want public, volume-based pricing and to join product events with business data from the warehouse.
• Not for: teams that need the analysis to run inside their own warehouse; the connectors copy data into Mixpanel.
• Pricing (public, October 2026): Free up to 1 million events per month; Growth starts at $0 for the first million events, then priced by volume up to 20 million events; Enterprise is custom (Mixpanel).
• Source: Mixpanel's documentation and pricing page, October 2026.

Privacy-first web analytics

Matomo

• What it does: web analytics available as cloud or self-hosted On-Premise. Matomo lists no data sampling, full data ownership and an option to run without cookies (Matomo).
• Best for: organizations that need to self-host, or that want a GA-style web analytics interface under their own control.
• Not for: teams without the people to run and update a self-hosted analytics server, if they choose On-Premise.
• Pricing (public, October 2026): On-Premise Community edition free; Cloud starts at 29 per month excluding tax, priced by monthly hits, with the currency shown by region; paid On-Premise bundles from €275 a month, less with annual billing (Matomo).
• Source: Matomo's features and pricing pages, October 2026.

Piwik PRO

• What it does: analytics, tag manager, consent manager and data activation in one suite. Piwik PRO says it supports compliance with GDPR and HIPAA (Piwik PRO).
• Best for: regulated industries and EU teams that want analytics, consent and tags from one vendor.
• Not for: teams that only need a simple traffic dashboard; the suite is more than that.
• Pricing (public, October 2026): Business from €36 per month, up to 2 million monthly actions and 25 months of retention, hosted in the EU (Sweden); Enterprise from €366 per month billed annually, or by quote (Piwik PRO). The pricing page does not list a free plan.
• Source: Piwik PRO's website and pricing page, October 2026.

Plausible

• What it does: lightweight web analytics without cookies; the code is open source and can be self-hosted (Plausible).
• Best for: marketing sites and content teams that need traffic and source reporting without a consent-heavy setup.
• Not for: event-level analysis, user-level journeys or anything that needs a deep custom data model.
• Pricing (public, October 2026): from $9 per month (Starter), with Growth and Business plans above it, priced by monthly pageviews; Enterprise is custom (Plausible).
• Source: Plausible's website, October 2026.

Warehouse-native collection

Snowplow

• What it does: a behavioral data pipeline that collects events with a schema you define and loads them into Snowflake, Databricks, BigQuery or Redshift, or into Iceberg and Delta Lake (Snowplow). Analysis happens in your warehouse and BI tool.
• Best for: data teams with a mature warehouse, dbt models and the engineers to own a pipeline.
• Not for: marketing teams that need ready-made reports on day one; Snowplow gives you data, not dashboards.
• Pricing (public, October 2026): partly public. A self-managed open source version for testing is listed at $0; the managed Snowplow Platform is by quote (Snowplow).
• Source: Snowplow's documentation and pricing page, October 2026.

A middle path, if you stay with GA4 collection: keep GA4, use the BigQuery export, and build reporting in your BI tool. You keep Google's media integrations and gain control over modeling, at the cost of BigQuery storage and queries (Google).

The alternatives on the same criteria

"Not verified" means I did not find the fact in the vendor's official documentation in October 2026. Ask for it in the RFP.

Analyst reports can help build the long list, but read them for what they are; how to read Gartner and Forrester covers that.

Where to start, by use case

• If your media runs on Google and the problem is limits or retention, price Analytics 360 before any alternative. You keep the Google Ads link, which every other option makes you rebuild.
• If you are already on the Adobe Experience Cloud, start with Adobe Analytics for web, or Customer Journey Analytics if the question is cross-channel. Both need an analytics team that maintains the specification.
• If the question is activation, retention and feature use in a product, start with Amplitude or Mixpanel. Both publish free tiers and volume pricing up to their middle plans, so you can price them at your volume before you talk to sales.
• If EU hosting and consent weigh more than features, start with Matomo, Piwik PRO or Plausible, in that order of depth: self-hosting, a suite with consent and tags, or a simple cookieless dashboard.
• If you have a data team, a mature warehouse and dbt models, start with Snowplow, or keep GA4 collection with the BigQuery export and model the data yourself.

When this advice doesn't apply: if your GA4 data is wrong rather than limited, a new tool will collect the same errors. Fix the implementation first.

What to check this week:

• Write down the one problem GA4 doesn't solve for you, and check whether Analytics 360 solves it.
• Count your monthly events, actions or pageviews, and price two alternatives from the right group at that volume.
• Send the RFP questions above to two vendors and compare what they put in writing.