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    Databox Review

    KPI Dashboards & Business Analytics
    8.4/10

    Reviewed by

    Updated 6 min readEditorially reviewed

    Quick facts

    Starting price
    Free; Analyst $71/mo billed yearly ($89 monthly)
    Free plan
    Yes
    Best for
    Small and mid-sized companies and agencies that want KPI dashboards across many tools, including spreadsheets and SQL databases
    Platforms
    Web app, mobile apps, REST API, CLI, MCP server

    BestStacked Score

    8.4/10

    Weighted average of 5 categories. Methodology below.

    Ease of Use20%8.2
    Features25%9.0
    Pricing20%7.8
    Support15%7.8
    Integrations20%9.0

    Quick answer

    Which Databox plan do I need?

    Start on Free if you only need one dashboard from up to 3 data sources with daily sync. Analyst ($71 a month billed yearly, $89 monthly) suits one person: 5 data sources, hourly sync, unlimited dashboards, spreadsheets and SQL databases, API and MCP access. Teams should look at Team Core ($199 yearly, $249 monthly) for 3 users and 10 sources, or Team Scale ($319, $399) for 10 users and 30 sources with sharing, CSV export and sub-accounts. Agencies start at $79 a month billed yearly for 4 client accounts and add packs of one account and 5 sources for $20 each.

    Trial
    14 days on any plan with no credit card. If you don't add payment details, syncing, reports and alerts pause.
    Data sources
    One account, property or view counts as one source: three GA4 properties are three data sources.
    AI credits
    Genie runs on monthly AI credits (50 on Free up to 1,000 on Team Scale) that are shared across the organization and don't roll over.
    Skip it if
    You want white-label client reports included in the price. White labeling is an $80 to $100 monthly add-on, even on the Agency plan.

    The Verdict

    Databox is a strong choice for companies that want KPI dashboards across many systems, not just marketing channels. It connects to ad platforms, CRMs, finance and e-commerce tools, spreadsheets and SQL databases and warehouses, has a free plan, and builds in an AI analyst, Genie, plus an MCP server for ChatGPT, Claude and Gemini. Goals and anomaly detection are on every plan. The trade-offs are pricing that scales by data sources, users and AI credits, white labeling and SSO enforcement sold as add-ons, support limited to US business hours on weekdays with no formal SLA, and a website where several pages still describe retired plans. Databox documents a SOC 2 Type 1 report but not Type 2. We score it 8.4/10.

    Best for

    Founders, operators and marketing or RevOps teams building internal KPI dashboards from several tools, and agencies that want cross-client analysis.

    Skip if

    You're an agency that mainly needs white-label client reports at a predictable per-client price, or you need 24/7 support or a SOC 2 Type 2 report.

    AlternativesAgencyAnalytics, DashThis, Looker Studio

    The Background

    What Is Databox?

    Databox is business analytics software that connects to your data sources and turns them into dashboards, scheduled reports, goals and alerts. It includes thousands of pre-built metrics, a metric builder, datasets for cleaning and merging data, and Genie, an AI analyst that answers questions, builds metrics and dashboards and runs scheduled routines using AI credits. It's sold in five self-serve plans (Free, Analyst, Team Core, Team Scale and Agency) plus a Custom plan with implementation services. Databox hosts data on AWS in the United States.

    The Product

    Databox Features: What You Actually Get

    Dashboards and reports

    A drag-and-drop builder creates dashboards for live tracking and reports, in presentation or pageless formats, for historical periods. Free allows 1 dashboard and 10 custom metrics; paid plans are unlimited. Sharing by link, TV mode, embeds, scorecards and alerts start on Team plans.

    A founder keeps one dashboard of revenue, pipeline and ad spend open on the office TV, refreshed hourly.

    Genie AI analyst and AI credits

    Genie is on every plan, including Free, and uses monthly AI credits: 50 on Free, 150 on Analyst, 500 on Team Core, 1,000 on Team Scale and 300 plus 50 per pack on Agency. Databox's own averages range from about 1.3 credits for a help question to 12.6 for a deep analysis. Credits are shared across the organization, don't roll over, and can be topped up for $200 to $250 a month.

    A marketing lead asks Genie why paid search leads fell last week and has it build a chart of cost per lead by campaign.

    Custom data and datasets

    From Analyst, Databox connects Google Sheets, Excel, SQL and NoSQL databases, cloud warehouses and any JSON API. Datasets let you clean, merge, filter and standardize data, with up to 10 breakdown dimensions per dataset metric.

    An operations manager merges a Snowflake orders table with HubSpot deals to track revenue by lead source.

    Goals, anomaly detection and forecasting

    Goals and anomaly detection are on every plan. Databox markets forecasting with seasonality and saved scenarios, and its help center says forecasts need 12 months of history and are hidden if your plan doesn't include them; the current pricing table doesn't say which plans do.

    A sales manager sets a monthly bookings goal and gets an alert when daily pipeline creation drops outside the expected range.

    MCP server and connectors

    From Analyst, an MCP server lets ChatGPT, Claude and Gemini query Databox data. From Team plans, Genie can use MCP connectors to tools such as HubSpot, Slack, Stripe and Notion, with per-tool permissions.

    An analyst asks Claude for a week-over-week summary that pulls numbers straight from Databox.

    Agency features

    The Agency plan includes unlimited users, 4 client accounts, 20 data sources and 300 AI credits, with packs of 1 account, 5 sources and 50 credits for $20 a month billed yearly ($25 monthly). It adds bulk actions, custom templates and cross-client reporting through Genie and MCP. White labeling is an add-on at $80 a month billed yearly ($100 monthly).

    An agency asks Genie which clients' paid social cost per lead rose most this month across all accounts.

    Security and admin

    Databox says data is hosted on AWS in the US, encrypted at rest and in transit, with SAML SSO supported. Enforcing SSO and 2FA, login records and session control are an add-on at $40 to $50 a month. Its Trust Center lists a SOC 2 Type 1 report, and it says it isn't ISO 27001 certified.

    A finance team buys the advanced security add-on to enforce SSO before connecting accounting data.

    Feature recap

    • Free plan: 1 user, 3 data sources, 1 dashboard, daily sync
    • Hourly sync on paid plans; 15-minute sync as a per-source add-on
    • Genie AI analyst on every plan, metered by AI credits
    • Spreadsheets, SQL databases, warehouses and custom APIs from Analyst
    • Goals and anomaly detection on every plan
    • MCP server from Analyst; MCP connectors from Team
    • Agency plan with account packs and cross-client analysis
    • White label, SSO enforcement and OKRs as paid add-ons

    The Numbers

    Databox Pricing: Every Plan Explained

    Databox's pricing page loads on annual billing, which saves 20%; quarterly billing saves 10%. Plans are capped by users, data sources and AI credits rather than priced per seat. There's a free plan and a 14-day trial with no card. Prices in USD, checked on October 10, 2026.

    PlanMonthlyAnnualIncluded FeaturesBest For
    Free$0$01 user, 3 data sources, 1 dashboard, 10 custom metrics, 50 AI credits, daily sync, goals, anomaly detectionTrying Databox on a few sources
    Analyst$89$71/mo1 user, 5 data sources, 150 AI credits, hourly sync, unlimited dashboards, custom data (Sheets, SQL, APIs), API, MCP server, chat and email supportOne analyst or founder
    Team CoreBest value$249$199/mo3 users, 10 data sources, 500 AI credits, sharing and notifications, CSV export, custom skills, Genie in Slack, routinesSmall teams sharing dashboards
    Team Scale$399$319/mo10 users, 30 data sources, 1,000 AI credits, sub-accountsGrowing companies with more sources
    AgencyFrom $99From $79/moUnlimited users, 4 accounts, 20 data sources, 300 AI credits; packs of 1 account + 5 sources + 50 credits at $20/mo yearly ($25 monthly)Agencies reporting on several clients
    CustomContact salesContact salesUnlimited users, custom sources and credits, security review, implementation and an embedded engineerLarger companies

    Databox's limits matter more than its headline prices. Data sources are counted per account, property or view, so a business with three GA4 properties, two ad accounts and a CRM already needs 6 sources, which is beyond Analyst's 5. Users are capped at 1 on Analyst, 3 on Team Core and 10 on Team Scale, though Databox says it doesn't charge per seat. Genie usage draws on monthly AI credits that don't roll over. Add-ons can change the total: white labeling is $80 a month billed yearly ($100 monthly), advanced security $40 ($50), the fiscal calendar $160 ($200) and OKRs $14 ($18), and 15-minute sync has no published price. Several Databox pages still describe retired plans such as Pro and Growth with different prices and limits, so rely on the pricing page.

    Pricing scenarios

    What Databox costs: three calculations

    These are our calculations from Databox's published prices on October 10, 2026, not quotes. Taxes are not included.

    Calculation 1, a three-person marketing team with 8 data sources. Team Core covers 3 users and 10 sources: $199 a month billed yearly ($2,388 a year) or $249 monthly.

    Calculation 2, an agency with 10 clients and white-label reports. Agency includes 4 accounts, so 6 packs are needed: $79 + 6 × $20 = $199 a month billed yearly, plus $80 for white labeling, for $279 a month ($3,348 a year). That includes 50 data sources and 600 AI credits.

    Calculation 3, the same agency on monthly billing. $99 + 6 × $25 + $100 white label = $349 a month.

    The Tradeoffs

    Databox Pros and Cons

    What we love

    • Free plan with 3 data sources and the Genie AI analyst
    • Connects to spreadsheets, SQL databases, warehouses and custom APIs from Analyst
    • Goals and anomaly detection on every plan
    • MCP server for ChatGPT, Claude and Gemini from Analyst
    • Agency plan with unlimited users and cross-client analysis
    • 14-day trial on any plan with no credit card

    What could be better

    • Plans are capped by data sources, users and AI credits
    • White labeling is a paid add-on, even on the Agency plan
    • Support is weekdays in US Eastern business hours, with no formal SLA
    • Several Databox pages still describe retired plans and prices
    • Only a SOC 2 Type 1 report is documented
    • Forecasting availability by plan isn't stated on the pricing page

    The Audience

    Who Should Use Databox?

    Best for: founders and operators tracking company KPIs

    Revenue from Stripe or QuickBooks, pipeline from HubSpot and spend from ad platforms can sit on one dashboard with goals and alerts.

    Best for: data-minded marketing and RevOps teams

    Datasets, SQL and warehouse connections and the metric builder go further than marketing-only reporting tools.

    Skip if: you need simple white-label client reports

    AgencyAnalytics includes white labeling and unlimited users in a per-client price built around agency reporting.

    The Methodology

    How We Reviewed Databox

    This is an editorial review, not a documented hands-on test. We didn't use a Databox account. It's based on Databox's pricing page, product, integrations, security and agency pages, Trust Center and help center articles on plans, AI credits, performance summaries, MCP, metric insights, sync, white labeling, data security and support, all checked on October 10, 2026. The cost scenarios are our calculations from published prices. Where Databox's pages conflict, as on retired plan names, users, dashboards, integration counts and SOC 2 type, we report both statements instead of picking one.

    Our editorial evaluation considers product information, official documentation, pricing, features and professional experience. It is not a claim of documented hands-on testing.

    Our review methodology →

    What changed

    • : First published. Editorial review based on Databox's pricing page, product and integrations pages, security pages, Trust Center and help center, checked on October 10, 2026.

    The Field

    Databox vs The Competition

    Databox competes with marketing reporting tools and lighter business intelligence tools. Scores come from each tool's own BestStacked review where we have one.

    ToolStarting PriceFree planBest FeatureBS Score
    DataboxFree; Analyst $71/mo billed yearly ($89 monthly)YesDashboards and reports8.4/10
    AgencyAnalyticsCore $20/client/mo billed yearly ($25 monthly)NoWhite-label client reporting with unlimited users8.6/10
    DashThisIndividual $44/mo billed yearly ($54 monthly), 3 dashboardsNoWhite-labeled dashboards on every planNot yet reviewed

    AgencyAnalytics: AgencyAnalytics prices per client and includes white labeling, unlimited users and AgencyAI. It's narrower: built for agency marketing reports rather than company-wide dashboards from databases.Read our AgencyAnalytics review →See Databox vs AgencyAnalytics →

    DashThis: DashThis prices by dashboard and includes white labeling and unlimited users. It doesn't have a free plan; its trial gives 10 dashboards for 14 days.

    In The Wild

    How People Actually Use Databox

    A SaaS founder

    Use Analyst to combine Stripe revenue, HubSpot pipeline and Google Ads spend on one dashboard, and ask Genie for a weekly summary.

    A 3-person marketing team

    Use Team Core to share dashboards and scorecards, set monthly goals, and get anomaly alerts in Slack.

    A 12-client agency

    Use Agency with account packs and ask Genie questions across all clients; add white labeling if clients see the reports.

    The Ecosystem

    Databox Integrations

    Databox says it has 130+ native integrations; its integrations library filter showed 108 when checked. Spreadsheets, databases and custom APIs start on Analyst.

    • →Google Analytics 4, Google Ads, Google Search Console
    • →Facebook Ads, LinkedIn Ads, TikTok, Instagram, Microsoft Advertising
    • →HubSpot (Marketing, CRM, Service, custom objects), Salesforce, Pipedrive
    • →Shopify, Stripe, QuickBooks
    • →Google Sheets, Excel, Airtable
    • →MySQL, PostgreSQL, SQL Server, BigQuery, Redshift, Snowflake, MongoDB and more
    • →Zapier, Make
    • →Custom JSON APIs with OAuth2, REST API and CLI
    • →MCP server and 34 MCP connectors

    Each connected account, property or view counts as a data source toward your plan limit. Sync is hourly on paid plans, subject to each provider's API limits, and Databox says inactive accounts may have their refresh rate reduced.

    Common Questions

    Databox FAQ

    The Final Word

    Should You Use Databox?

    8.4/10 Score

    Databox is a good fit when you want one place for KPIs from many systems: ad platforms, CRMs, finance tools, spreadsheets and databases, with goals, anomaly alerts and an AI analyst on top. The free plan makes it easy to start. Plan for the limits as you grow, because data sources, users and AI credits are capped per plan, and white labeling and SSO enforcement cost extra. Support is weekdays only with no SLA. We score Databox 8.4/10.

    Yes, if

    You want KPI dashboards that combine marketing, sales, finance and database data, with an AI analyst and a free plan to start.

    No, if

    You mainly need white-label agency reports at a per-client price, 24/7 support, or a SOC 2 Type 2 report.

    About the reviewer

    Founder & Editor, The Best Network

    Carlos Gil is the bestselling author of The End of Marketing, a LinkedIn Top Voice, and founder of The Best Network. He brings 15+ years in marketing to practical reviews of AI, SaaS, email marketing, creator, and ecommerce software.

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