Databox and Supermetrics both connect to Google Ads, HubSpot and GA4, which is why they end up on the same shortlist. What you get at the end of setup is different. Databox gives you KPI dashboards, goals and an AI analyst inside its own app. Supermetrics gives you the data itself, in Google Sheets, Data Studio (formerly Looker Studio), Power BI or a warehouse, for you to build on.
This Databox vs Supermetrics comparison covers integrations, dashboards and alerts, free plan vs trial, pricing and user reviews, then closes with a short pick list.
What you end up with after setup#
Databox describes itself as an agentic analytics platform. You connect your data sources, and the numbers land in Databox's own dashboards, reports and goals. Genie, its AI analyst, answers questions about those numbers in plain language. Your team and clients view everything inside Databox or, on Team plans, through a shared link. The data is meant to stay in Databox. It isn't built to feed Google Sheets or a data warehouse, though CSV export comes with the Team plans.
Supermetrics is a marketing intelligence platform built around data connectors. It pulls marketing data from ad, analytics and CRM platforms and writes it to a destination you choose: Google Sheets, Excel, Data Studio, Power BI, or AI tools like Claude and ChatGPT. BigQuery and Snowflake are available on Enterprise. You build the dashboards yourself, or use Supermetrics Studio to generate them with AI.
Put simply, Databox is a reporting tool with integrations attached. Supermetrics is a data pipeline into the reporting tools you already use. That one difference explains most of the trade-offs below.
Databox vs Supermetrics side by side#
| Feature | Databox | Supermetrics |
|---|---|---|
| What you get | Dashboards, reports and goals inside Databox | Data in your Sheets, BI tool, AI tool or warehouse |
| Integrations | 130+ tools, plus databases, spreadsheets and APIs | 170+ marketing data sources |
| Pricing model | Plan tiers by data sources, users and AI credits | Data sources, accounts per source and destinations |
| Entry price | Analyst $71/month, billed yearly | Starter $44/month, billed yearly |
| Free option | Free forever plan; 14-day trial of any plan | 14-day trial |
| Fastest sync | Hourly from Analyst; 15-minute sync as an add-on | Up to hourly, depending on plan |
| AI | Genie AI analyst on every plan; MCP server from Analyst | Supermetrics Studio AI credits on every plan; MCP |
| White-label | $80/month add-on | Branding handled in your own BI tool |
| G2 rating | 4.4 (194 reviews) | 4.4 (826 reviews) |
Integrations and data sources#
Databox lists 130+ integrations. They span marketing (Google Ads, Facebook Ads, Google Analytics 4), sales (HubSpot, Salesforce), ecommerce (Shopify), finance (Stripe, QuickBooks) and data tools (Google Sheets, BigQuery, MySQL). From the Analyst plan, you can also push your own data through the Databox API or build custom integrations. That mix suits a business intelligence view of the whole company: MRR next to ad spend next to pipeline.
Supermetrics goes deeper on marketing analytics. Its 170+ data connectors include Google Ads, Meta Ads, LinkedIn Ads, TikTok Ads, Microsoft Advertising, GA4, Search Console, Shopify and HubSpot. Each connector exposes the platform's detailed fields, such as ad-level metrics and conversion breakdowns, so you can pull exactly the table you need.
The table below lists example connectors, not full catalogs. Use it to see where each tool's coverage leans: Databox spreads across business functions, while Supermetrics goes wider on ad platforms.
| Category | Databox | Supermetrics |
|---|---|---|
| Ad platforms | Google Ads, Facebook Ads | Google Ads, Meta Ads, LinkedIn Ads, TikTok Ads, Microsoft Advertising |
| Analytics | Google Analytics 4 | GA4, Search Console |
| CRM | HubSpot, Salesforce | HubSpot, Salesforce |
| Ecommerce | Shopify | Shopify |
| Finance | Stripe, QuickBooks | Stripe |
| Your own data | API and custom integrations (Analyst and up) | Custom data import (Enterprise) |
One more difference: account limits. Supermetrics Starter covers 3 data sources with 3 accounts each. Databox counts each connected account as a data source, so the Free plan's 3 data sources might be one Google Ads account, one GA4 property and one HubSpot portal.
Dashboards, goals and alerts#
Databox: dashboards and Genie in one app
Dashboards are the product in Databox. You start from dashboard templates or build your own and add custom metrics. Goals track progress against targets, and anomaly detection flags unusual changes. Both are on every plan. Team plans add sharing by link (no login needed), on a TV screen or as an embed, plus notifications and Genie in Slack, so your team gets updates without opening the app.
Genie is where Databox has moved most. You ask a question, such as why lead volume dropped last week, and it answers from your connected metrics, goals and history. Pre-built skills come with Analyst. Team plans add custom skills and routines.
Supermetrics: dashboards in your reporting tool
With Supermetrics, dashboards live in the tool you send data to. Most teams use Data Studio, Power BI or Tableau templates, or build reports in Google Sheets. Supermetrics Studio adds AI agents inside Supermetrics: a Dashboard Agent turns a plain-language request into a dashboard, and an Insights Agent answers performance questions and flags anomalies. Outside those agents, alerts depend on your BI tool.
Which approach suits your team
If your team wants a single screen of KPIs with goals and alerts, Databox gets you there with less building. If you want full control over layout, data blending and calculations, Supermetrics plus a BI tool gives you more room.
Free plan vs trial, and pricing#
Databox has a free forever plan: 1 user, 3 data sources, 1 dashboard, 10 custom metrics, 50 AI credits a month and daily sync. Any paid plan can also be tried for 14 days without a credit card. Supermetrics has no free plan. Its connectors come with a 14-day trial, also without a card.
What Databox costs
Databox pricing, billed yearly (annual billing saves 20%):
- Analyst: $71 a month for 1 user, 5 data sources, unlimited dashboards, 150 AI credits and hourly sync. Adds the MCP server and API access.
- Team Core: $199 a month for 3 users, 10 data sources and 500 AI credits. Adds sharing, notifications and CSV export. Monthly billing costs $249.
- Agency: from $79 a month with unlimited users and 20 data sources, or from $99 on monthly billing. Each account pack adds 1 client account, 5 data sources and 50 AI credits for $20 a month, billed yearly.
Team Scale and Custom plans cover larger teams. White-labeling is an $80 monthly add-on.
What Supermetrics costs
Supermetrics pricing, billed yearly:
- Starter: $44 a month for 3 data sources, 3 accounts each, 1 destination and 1 user. Monthly billing costs $55.
- Growth: $177 a month for 6 data sources, 7 accounts each, 1 destination and 2 users. Monthly billing costs $222.
- Enterprise: custom quote, with warehouse destinations and data transformation.
Extra destinations, users, sources and accounts are add-ons.
The same setup priced in both
In a Databox vs Supermetrics budget, the pricing model is where the two diverge in practice. Take a founder tracking Google Ads, Meta Ads, GA4, HubSpot and Shopify. Databox Analyst covers all five sources for $71 a month, dashboards included.
On Supermetrics, five sources mean Starter plus two source add-ons, or Growth at $177, and you build the dashboards in Data Studio, which is free. Add one colleague and Databox moves to Team Core at $199, while Growth already includes a second user.
What users say about Databox vs Supermetrics#
Both tools hold a 4.4 rating onG2: Databox from 194 reviews andSupermetrics from 826. OnCapterra, Databox scores 4.6 from 205 reviews, with 4.5 for both ease of use and customer service.
Databox reviewers like the templates, how fast they get a working dashboard, and dashboards they can share or put on a TV screen. The complaints are about pricing for small businesses, slow dashboard refreshes, limited visual customization and a few missing integrations.
Supermetrics reviewers most often mention ease of use, the range of integrations and customer support. The most common complaints are cost, missing features and pricing changes, along with data limits on some connectors.
In short, Databox vs Supermetrics reviews look alike: both tools are well liked, and price is the top complaint for both. Databox reviews focus on the dashboard experience, while Supermetrics reviews focus on the data connectors.
Supermetrics and Databox alternatives worth knowing#
Some teams want both halves: their data in their own tools and dashboards ready to use. Others need agency features or warehouse loading on a small budget. These three cover those gaps.
Coupler.io
Coupler.io is a reporting automation platform. It collects and blends data from 400+ apps, like Google Ads, HubSpot, Shopify and Stripe, and sends it to your own Google Sheets, Data Studio, Power BI or BigQuery. Its 230+ dashboard templates give you a KPI view without building one from scratch.
Coupler AI can set up a data flow from a plain-language request, joins included, and the same data works in Claude, ChatGPT or Gemini on every plan. A free plan covers testing, and paid plans start at $24 a month, billed yearly.
AgencyAnalytics
AgencyAnalytics is a client reporting platform for agencies. It connects 90+ marketing integrations and turns them into client dashboards and scheduled reports. Each client gets a white-labeled portal with your logo, colors, custom domain and custom email, which covers the per-client branding Databox sells as an add-on.
AI features include AI summaries, metric insights, an Ask AI assistant and MCP access for ChatGPT and Claude. Pricing is $20 per client per month, billed yearly, so 10 clients cost $200 a month, and there's a 14-day trial without a credit card. It fits agencies that liked Databox's dashboards but need branded reporting for every client.
Windsor.ai
Windsor.ai is a no-code data integration platform with 350+ sources. Like Supermetrics, it sends marketing data to Google Sheets, Excel, Data Studio, Power BI and Tableau. Unlike Supermetrics, every plan includes all destinations, so BigQuery, Snowflake, Redshift and Databricks are available from the cheapest tier.
Its MCP server works on all plans and can make changes in Google Ads, Meta Ads, TikTok Ads, LinkedIn Ads and Microsoft Ads after you confirm each one. Paid plans start at $19 a month, billed yearly, for 3 data sources and 75 accounts. A Forever Free plan covers one source and one account. Keep in mind that price steps follow the number of data sources, so a fourth source means the next tier.
Funnel.io, Whatagraph and Fivetran also show up in Supermetrics alternatives searches, but they target larger teams or a different job.
Supermetrics vs Databox: which to pick#
The Supermetrics vs Databox choice comes down to where you want your reports to live.
Pick Databox if:
- You want KPI dashboards, goals and alerts without building them in a BI tool.
- Your metrics come from across the business (sales, finance, product), not only marketing.
- You want a free plan you can keep for a single dashboard.
- An AI analyst that explains changes in your metrics matters more than raw data access.
Pick Supermetrics if:
- Your team already reports in Google Sheets, Data Studio or Power BI.
- You need detailed marketing data, at ad or campaign level, across many ad platforms.
- You plan to blend data or move it into BigQuery or Snowflake later.
- You manage several ad accounts per platform and want them in one table.
FAQs#
Can I use Databox and Supermetrics together?
Yes. Databox reads Google Sheets and BigQuery as data sources, so Supermetrics can load marketing data there and Databox can display it. You pay for both tools, so this mostly makes sense for larger teams.
What happens when the Databox trial ends?
If you don't add payment details by the end of the 14 days, syncing stops and scheduled reports pause. Your account reverts to a limited version until you pick a plan, and the free plan (3 data sources, 1 dashboard) is one option.
Can Databox replace a BI tool like Power BI or Tableau?
For KPI tracking and goal dashboards, often yes. For complex data modeling, multi-touch attribution or joining many tables, a BI tool fed by a connector like Supermetrics gives you more control.