Adobe Analytics vs Google Analytics: which fits your team
If your marketing runs mostly on Google media and your team works in BigQuery, Google Analytics 4 (GA4) is the default, and Analytics 360 is the upgrade when the free limits start to bite. If you need deep custom variables, long default retention and an analytics tool that sits inside the Adobe Experience Cloud, Adobe Analytics fits better, and you pay for it from day one. Neither choice is about which tool is "more advanced"; it is about where your data, your media and your people already live.
How I compared them. Eight criteria: data model, processing latency, retention and sampling, raw data export, implementation, consent, ecosystem and cost model. Every fact comes from Google's Analytics Help Center, Google Marketing Platform pages, Adobe Experience League or Adobe's product pages, as of October 2026. I have not tested either tool for this post, and neither vendor publishes contract pricing for its enterprise tier, so cost appears as a model, not a number.
GA4 and Adobe Analytics side by side
| Google Analytics 4 (standard / 360) | Adobe Analytics | |
|---|---|---|
| Data model | Events with parameters: 25 parameters per event and 50 event-scoped custom dimensions on standard, 100 and 125 on 360 (Google) | Report suites with eVars, props and events: up to 250 eVars depending on contract, 75 props (Adobe) |
| Processing latency | Intraday about 2–6 hours on standard, about 1 hour on 360; daily tables from about 12 hours (Google) | Complete data typically about 2 hours after collection (Adobe) |
| Retention | Explorations and funnels: 2 or 14 months on standard, up to 50 months on 360; standard reports not affected (Google) | 25 months by default; extendable by contract in one-year steps (Adobe) |
| Sampling | Above 10 million events per query on standard; up to 1 billion on 360 (Google) | not verified |
| Raw data export | BigQuery export: 1 million events per day on standard daily export, much higher on 360; streaming export available (Google) | Data feeds, hourly or daily, to Amazon S3, Google Cloud or Azure (Adobe) |
| Implementation | Google tag (gtag.js) or Google Tag Manager (Google) | Web SDK extension in Adobe Experience Platform Tags, for new customers (Adobe) |
| Consent | Consent mode, basic or advanced; behavioral modeling only with advanced (Google) | Web SDK consent commands; only the collection permission is enforced automatically (Adobe) |
| SLA | 360 only (Google) | not verified |
| Pricing (public, October 2026) | Standard: free (Google). 360: not public (Google) | not public; Adobe sells Select, Prime and Ultimate packages by quote (Adobe) |
The differences that change your decision
The data model decides how much specification work you carry
GA4 is a flat event model: everything is an event, and context travels as parameters. That is simple to start with, but the limits per property are tight on standard, and they show up the day you need a 51st event-scoped custom dimension.
Adobe Analytics asks you to design variables up front. eVars persist across hits with an allocation and expiration you configure; Adobe's default is last allocation and expiry at the end of the visit (Adobe). That control is powerful for merchandising and campaign attribution, and it is also why an Adobe implementation without a written solution design document decays fast.
The practical consequence: GA4 punishes you later, when you outgrow the limits. Adobe punishes you earlier, when you have to design the variable map before collecting anything.
Retention means different things in each tool
In GA4, the retention setting only affects explorations and funnel reports, not the standard aggregated reports (Google). On a standard property, an exploration looking back more than 14 months is not possible. Analytics 360 extends that to 50 months.
Adobe starts at 25 months for all data and sells extensions by contract, up to a little over ten years (Adobe). If your analysts compare seasons year over year at user level, this row alone can decide between GA4 standard and the paid options.
The warehouse path is different, and so is its cost
GA4's BigQuery export is the main reason analytics teams accept its interface. Standard properties get a daily export capped at 1 million events per day, with filters to stay under it; 360 properties get a far higher cap (Google). The export is not free in practice: BigQuery storage and queries are billed, and streaming export carries its own per-GB charge, according to the same page.
Adobe's equivalent is data feeds, delivered hourly or daily to your own cloud bucket (Adobe). You still have to load and model the files. For cross-channel analysis inside Adobe, the path is a different product, Customer Journey Analytics (CJA), which works on Adobe Experience Platform datasets and drops the eVar and prop limits (Adobe).
Consent handling puts the work in different places
GA4's advanced consent mode loads tags before the banner and sends cookieless pings when consent is denied, which is what enables behavioral modeling. With basic consent mode, tags stay blocked and there is nothing to model (Google).
Adobe's Web SDK takes consent through its own commands, and Adobe states that only the data collection permission is enforced automatically. Any other consent purpose has to be enforced in your downstream processes (Adobe). Whichever you choose, your CMP integration needs its own test plan.
Ecosystem pull is real
Analytics 360 lists native integrations with Google Ads, Search Ads 360 and Display & Video 360 (Google). Key events in GA4 feed Google Ads, and "conversion" now refers to what Ads uses for bidding (Google).
Adobe's Web SDK sends one payload to the Experience Platform Edge Network, which distributes it to the Adobe products configured in a datastream (Adobe). If you also run Adobe Target or Adobe Experience Platform, that shared collection layer is a real argument. If you don't, it is overhead. For the attribution side of Adobe, see how Adobe Analytics attribution models work.
Total cost, not just the license
The license line is only the visible part, and here it is mostly not public:
- GA4 standard: no license fee. You pay in BigQuery storage and queries, and in the people who work around the limits.
- Analytics 360: not public. Google sends you to sales or a partner, and an upgraded property gets no SLA until the account moves to a 360 contract (Google).
- Adobe Analytics: not public. Adobe sells packages (Select, Prime, Ultimate) by quote (Adobe). Retention beyond 25 months is an extra contract item (Adobe).
- Both: implementation, a tag management layer, QA, and the analysts who maintain the specification.
Ask each vendor or reseller for a three-year quote at your current and projected volume. Without it, any comparison of the two is a guess.
If you already use one and are thinking of switching
Historical data does not move between tools in a usable form. Plan to keep the old tool readable, or export its raw data to your warehouse before the contract or retention window ends.
- GA4 to Adobe: the event and parameter list has to be redesigned into eVars, props and events with persistence rules. Media integrations that depend on GA4 key events, such as Google Ads imports, need a replacement.
- Adobe to GA4: check every eVar that relies on persistence or merchandising allocation; GA4 has no direct equivalent, so the logic moves into the data layer or into BigQuery. Check the standard property limits against your current variable count before signing anything.
- Adobe Analytics to CJA: a separate migration inside Adobe, with a different data model (XDM) and data source.
In every case, run both tools in parallel long enough to compare key numbers, and validate the new implementation before you switch off the old one. The checklist in tools to detect GA4 implementation errors covers the GA4 side.
Which one fits which case
- GA4 standard, if most of your media runs on Google, your property fits under the standard limits (50 event-scoped custom dimensions, 1 million events a day in the daily BigQuery export) and someone on the team works in BigQuery. Weakness: you hit the limits without warning, and explorations look back 14 months at most.
- Analytics 360, if you are already on GA4 and what hurts is the limits, the 14-month window or the missing SLA. Weakness: the price is not public, and you keep GA4's flat event model.
- Adobe Analytics, if you already run Adobe Target or Adobe Experience Platform, or you need variables that persist for merchandising and campaign attribution. Weakness: you design the variable map before you collect anything, and the price is by quote only.
- Customer Journey Analytics, not Adobe Analytics, if the question is cross-channel analysis on Adobe Experience Platform data rather than web analytics.
When this advice doesn't apply: if your core question is product engagement inside an app rather than marketing performance, compare product analytics tools instead; neither GA4 nor Adobe Analytics is built first for that job.
What to check this week:
- Count your custom dimensions and parameters, and compare them with the GA4 standard limits.
- Check how far back your analysts actually look in explorations, and compare that with your retention setting.
- Ask your vendor or reseller for a three-year quote that includes export and warehouse costs.