Databox
Databox is an AI-powered business intelligence platform that pulls metrics from 130+ connected tools into no-code dashboards, automated reports and forecasts, with an AI analyst named Genie answering plain-language questions for teams without SQL skills.
What is Databox?
Databox is a cloud business intelligence and analytics platform published by Databox Inc., based in Boston, Massachusetts. Its 2026 positioning is blunt: AI-powered analytics for teams that need answers now, which means self-serve reporting for people who are not analysts.
The analytical base is broad. Databox connects to 130+ native integrations covering CRMs, ad platforms and spreadsheets, plus SQL and NoSQL databases, warehouses such as BigQuery, Snowflake and Redshift, a REST ingestion API and 36 custom APIs. Datasets then let a team filter, merge, standardize and compute columns row by row before anything reaches a chart. On top sit no-code drag-and-drop dashboards, custom metrics and KPIs, anomaly detection, forecasting with best and worst case scenarios, and nested goals and OKRs, supported by 300+ dashboard templates, 200+ pre-built templates, a metric library and a Skills Marketplace.
The AI layer is Genie, presented as an AI Analyst: ask a question in everyday language, have it build metrics and dashboards from a prompt, get variations explained, and turn the answer into shareable artifacts, from a report or a deck to an interactive document, a PDF export or a read-only public link. Genie runs on a proprietary layered architecture, from the Conversation Layer and Intelligence Layer down through Capabilities, the Semantic Layer, the Analytical Query Engine, the Data Platform and Databox Metric Intelligence. The central claim is that computation is deterministic and happens outside the LLM, not an LLM guessing on your data, with figures validated before the model sees them. Databox also runs an MCP server with 10+ tools, so Claude, ChatGPT, n8n, Cursor and 100+ compatible clients can query the same metrics.
Distribution matters as much as analysis here: secure links, TV display, embeds, Slack, scheduled snapshots, scorecards, alerts and digests, plus published iOS and Android apps.
The company claims 70M+ metrics tracked, 20,000+ companies, 130+ integrations and 65 employees across 10 countries. Customer results quoted on the site include 55% higher year-over-year sales at First Response, 50% lower reporting costs at MarketLauncher and 60% less time spent building reports at Hero Factory.
What it does
- Connect 130+ data sources: CRMs, ad platforms, spreadsheets, databases, warehouses and custom APIs
- Ask Genie a question in plain language and get a contextualized figure back
- Build metrics, dashboards and reports from a prompt or by drag and drop
- Automate the delivery of reports, scorecards, alerts and digests by email, Slack, public link, TV or embed
- Set goals and OKRs, track progress and forecast future performance
- Plug Databox into Claude, ChatGPT, n8n or Cursor through its MCP server
When to use Databox / When not to
A quick filter to help you decide if Databox is the right fit.
When to use Databox
- Marketing, sales, finance and leadership teams in SMBs and scale-ups tracking KPIs scattered across several tools
- Marketing agencies, RevOps teams and consultancies reporting to clients, with sub-accounts and optional white-labeling
- Executives and department leads who want self-serve BI without writing a line of SQL
- Business analysts looking to clear the standing queue of ad hoc reporting requests
- SaaS teams aligning finance, product and go-to-market around one shared set of metrics
When not to use Databox
- Organizations shopping for a data warehouse or an ETL layer: Databox plugs into existing tools rather than storing raw data itself
- Analysts doing advanced modeling, for whom the site itself positions Power BI, Tableau and Looker Studio alongside Databox
- Teams needing several seats on the entry tiers: Free and Analyst are single-user, with sources capped at 3 and 5
- Buyers who require SSO, audit logs and advanced security without moving to the Custom plan or paying for an add-on
- European controllers that need EU data residency: hosting is in the United States only, in the AWS East region
How to use Databox
A typical end-to-end flow, from setup to results.
- Create an account from the sign-up page: no credit card, with a 14-day trial of the Growth plan
- Connect your sources through one-click integrations, a SQL database, a spreadsheet or your own API
- Shape the raw data into datasets where needed, with filters, merges and calculated columns
- Build metrics and dashboards by drag and drop, from a Genie prompt, or from one of the 300+ templates in a single click
- Ask Genie questions in plain language and turn the answers into reports, decks or interactive documents
- Add goals, OKRs, forecasts and anomaly detection on the metrics that matter
- Set the sync frequency source by source: daily on Free, hourly on Analyst and Pro, every 15 minutes on Growth and Custom for up to 5 sources
- Distribute the results through scheduled reports, scorecards, alerts, Slack, public links, embeds or TV display
- Optionally point an MCP client such as Claude, n8n or Cursor at https://mcp.databox.com/mcp with an API key
- Lean on the Help Center, Databox Academy courses and the developer docs when you need to go further
Pros & Cons
Pros
- Unlimited users on Pro, Growth and Custom: no per-seat billing
- A free-forever plan (3 sources, 1 dashboard, 10 custom metrics, 50 AI credits a month) and a 14-day trial with no credit card
- 130+ native integrations and 300+ dashboard templates, with no warehouse or ETL to build first
- Computation kept deterministic and outside the LLM, on standardized metrics
- SOC 2 certification, AES-256 encryption at rest, TLS 1.2 or above in transit, and a public DPA carrying the Standard Contractual Clauses
- Nineteen sub-processors disclosed by name, AI vendors included
- An open MCP server that exposes the same metrics to Claude, ChatGPT, n8n or Cursor
Cons
- Hosting is in the United States only (AWS East region), with no announced EU data residency option
- Nothing is published about whether models are trained on customer data, or about any opt-out
- SSO, audit logs and advanced security are reserved for the Custom plan or sold as a paid add-on
- No refunds at all: billing is charged in advance, and cancellation takes effect at the end of the paid cycle
- Free and Analyst are single-user with fixed source caps, and extra sources cost $5.60 per month beyond the three included on Pro and Growth
- AI credits are capped per plan (50, 500, 1,500 and 4,000 a month) and the top-up is still announced as Soon
- SOC 2 certified but not ISO 27001, which the site states explicitly
Pricing & Plans
Databox offers a free-forever plan at $0, limited to 3 data sources, one user and 50 AI credits a month. The cheapest paid entry point is the Analyst plan at $64 per month billed annually, followed by Pro at $159 and Growth at $399 per month on the same annual terms, while the Custom plan is quoted on request. All prices are listed in US dollars, annual billing carries a 20% discount, extra data sources are charged $5.60 per month each, and a 14-day trial of the Growth plan is available without a credit card. Invoicing is in advance, monthly, quarterly or annually, and non-refundable.
- 3 data sources (hard cap)
- 1 user
- 50 AI credits a month
- 1 dashboard or report
- 10 custom metrics
- 11 months of history
- daily sync
- two-factor authentication
- 5 data sources (hard cap)
- 1 user
- 500 AI credits a month
- unlimited dashboards and metrics
- datasets
- API and MCP access
- 24 months of history
- hourly sync
- 3 sources included then $5.60 per extra source
- unlimited users
- 1
- 500 AI credits a month
- limited datasets
- sharing and notifications
- Slack
- CSV export
- 3 sources included then $5.60 per extra source
- unlimited users
- 4
- 000 AI credits a month
- full datasets
- forecasting
- unlimited sub-accounts
- 15-minute sync on up to 5 sources
- flexible AI credits
- white-labeling
- advanced security
- SSO
- assisted setup
- priority support
- security and compliance review
- AI credits (announced as Soon)
- white-labeling at $200/year
- 15-minute sync at $14/year per source
- fiscal calendar at $40/year
- advanced security at $80/year
- OKRs at $160/year
- A separate pricing grid for agencies is published on its own page
Data, GDPR & hosting
A consolidated view of how Databox handles your data.
GDPR overview
Databox claims GDPR compliance and documents it. A dedicated GDPR page describes product, terms and privacy updates, a designated data protection officer and vendor vetting; the security FAQ names the DPO, Andrej Zitnik, and compliance@databox.com is the privacy contact. A public Data Processing Agreement, effective 21/12/2023, incorporates the EU Standard Contractual Clauses (Decision 2021/914, module two, controller to processor), the UK Transfer Addendum and the Swiss FADP. The privacy policy, revised 06/04/2026 and effective 30/04/2026, spells out EEA and UK rights: access, copy, rectification, portability, restriction, erasure and withdrawal of consent. Transfers to the United States are acknowledged explicitly, with no adequacy decision and contractual safeguards instead; the competent supervisory authority is the customer's own, per SCC clause 13. One gap: no Article 27 EU representative is named anywhere on the site.
Who owns the data?
Databox states that customers keep full ownership of the data they connect. The security FAQ says that "Customers retain complete ownership of their data, with Databox serving as a data processor under GDPR", and the Data Processing Agreement sets the same split: the client is the controller, Databox the processor. The terms of service add that "The Company does not own any data, information or material that you or other users submit (User Content)", while making the customer responsible for its accuracy, legality and rights. Ownership is not safekeeping, though: on termination for breach access stops immediately with no duty to retain anything, and cancelling an account deletes all User Content at once, beyond recovery.
Reuse rights
Because customers keep ownership of their content, nothing in the terms requires Databox's permission to reuse it, and the product provides the means: CSV export, secure links, embeds, scheduled snapshots and read-only public sharing. On the personal-data side, the privacy policy covers professional identity details, correspondence, cookies and browsing data, states for newsletter data that "This personal data will not be passed on to third parties", and relies on third-party processors for experience and profiling. Appendix 3 of the DPA names 19 sub-processors, among them OpenAI for generative AI and Anthropic and LangChain for LLM services, alongside AWS, Amazon S3, Google Cloud, HubSpot, Intercom, SendGrid, Twilio, Stripe, Mixpanel, Segment and FusionAuth. Databox says data is validated and enriched before any model reads it: "The Data platform is where raw data becomes analysis-ready intelligence before the LLM ever sees it", with the calculation engine kept deterministic and outside the LLM. What no page states is whether customer data is ever used to train models, or whether an opt-out exists.
Data retention & training
Hosting summary
All Databox products run on Amazon Web Services data centers located in the United States, in the AWS East region: "All Databox products run on best-in-class servers in Amazon Web Services (AWS) data centers located in the United States of America (AWS East region)." No European region is offered, so EU customers should expect their data to leave the bloc, with the DPA covering that transfer through the Standard Contractual Clauses, the UK Addendum and the Swiss FADP. The privacy policy adds that data sits either on Databox's own servers or in databases hosted by a cloud provider, in a secured environment. Encryption is AES-256 at rest and 256-bit SSL/TLS (TLS 1.2 or above) in transit, behind a layered network of Amazon VPCs, security groups and system firewalls. Backups are full weekly and differential daily. AWS, Amazon S3 and Google Cloud are the hosting sub-processors named in the DPA.
Where Databox works
Country-level availability.
Not available in
Things to keep in mind
Risks and trade-offs to weigh before adopting Databox.
- Hosting is exclusively American (AWS East region), a sensitive point for any European controller
- EU-to-US transfers are acknowledged explicitly, without an adequacy decision and covered only by the Standard Contractual Clauses
- No Article 27 EU representative is named anywhere on the site
- OpenAI, Anthropic and LangChain appear among the sub-processors, so data can travel through third-party LLM services
- Nothing is published about models being trained on customer data, nor about any way to exclude your data from such training
- The site's own documents disagree on jurisdiction: the privacy policy says the company is incorporated in California, the terms say Delaware, and Massachusetts law governs; those terms are dated 26/04/2023, before the product's AI overhaul
- Nothing is refundable, and cancelling an account deletes all content immediately and permanently, so export what matters first
Setup & Integrations
Technical difficulty
Low on the standard path. Signing up needs no credit card, integrations connect in one click with Databox handling authentication and API maintenance, no SQL is required, dashboards are assembled by drag and drop, and 300+ ready-made templates give a first result immediately. More technical routes exist for those who want them: a REST ingestion API, custom integrations and SQL queries against databases and warehouses. Connecting an MCP client takes a few steps, an endpoint URL and an API key. Help comes from a dedicated success manager from Growth up, assisted setup on Custom, and Databox Academy.
Deployment
Apps stores
Integrations
Behind Databox
Fundraising
Social
Resources
All the official URLs gathered for verification and reference.
Alternatives
Tools that compete with or complement Databox.
Frequently asked questions
What is Databox?
Is there a free plan?
How much does the first paid plan cost?
Do I need a credit card to start the trial?
Does Databox charge per user?
Do I need a data warehouse or an ETL pipeline first?
Where is my data hosted, and which certifications does Databox hold?
Who owns the data I connect, and is a DPA available?
Can I get a refund?
Can I connect Databox to an AI assistant?
Should you pick Databox?
Databox aims at a specific gap: business intelligence a team runs itself, without an analyst in the loop. The site says as much, positioning Power BI, Tableau and Looker Studio as analyst tools and itself as what the rest of the company uses. On that promise the package is coherent: 130+ native integrations with no warehouse or ETL to build first, no-code dashboards, automated reports, goals and forecasts, and Genie, an AI analyst that answers in plain language while the computation stays deterministic and outside the model.
Two commercial decisions stand out. Unlimited users on Pro, Growth and Custom takes per-seat billing off the table, which matters for agencies and for companies that want everyone reading the same numbers. And a free-forever plan plus a 14-day trial without a card make the tool cheap to assess before committing.
The reservations are just as concrete. Hosting is American only, on AWS East, with no EU residency option and no Article 27 representative named, while OpenAI, Anthropic and LangChain sit among the 19 disclosed sub-processors. Nothing published says whether customer data is ever used to train models, or whether an opt-out exists, and a European controller will want that silence filled before signing. Billing is non-refundable, cancellation deletes all content immediately, SSO and advanced security sit behind the Custom plan or paid add-ons, and AI credits are capped per plan.
Best served: agencies, RevOps teams, SMB and scale-up executives, and business analysts tired of ad hoc requests. Teams bound by strict EU data residency rules, or doing heavy analytical modeling, should look elsewhere, or at least put to Databox the questions its documentation leaves open.
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