DashboardFox

What it is

DashboardFox is a reporting and dashboard tool for business users who want to build their own reports against a company database without writing code. It is sold 2 ways, as a cloud service priced by monthly active users and as self-hosted software with a perpetual license. The company's homepage describes it as "battle-tested since 2009," proven on-premise and now available in the cloud. Its pitch is a plain one. Features that other vendors charge extra for, namely row-level security, white-label branding and a custom domain, are part of every plan, starting at $99 a month.

The audience on the site is split between 2 groups. Internal teams use it for operational reporting, and agencies use it to give each client a branded view of their own data. The company's own blog states the limits just as plainly, saying DashboardFox is not designed for data science, machine learning or embedded analytics inside your own SaaS product.

What you build and how

The report builder is drag and drop. The company's FAQ says that if you understand your data and how reports work, meaning selecting fields, applying filters and using formulas, you can build reports with no code. Its blog compares the skill level to building a pivot table in Excel, adding that no SQL is required for standard reports. For advanced needs the product also supports raw SQL and stored procedures, so a technical user is not boxed in.

Reports become dashboards, and the plans include unlimited reports, dashboards and Apps. The homepage describes the workflow as "Connect. Build. Share." with "No ETL pipeline. No data warehouse required." The homepage's product view shows Dashboards, Reports, Scheduler, Exports and Admin sections.

On the data side, the FAQ says PostgreSQL, MySQL, MariaDB and Oracle connections are included on all plans. Cloud warehouses such as Snowflake, BigQuery and Redshift connect through ODBC drivers, and availability varies by plan. You can also upload Excel or CSV files or pull data from REST APIs, Google Sheets among them.

Sharing is where the pricing model matters. A monthly active user, or MAU, is anyone who logs in at least once during the calendar month, and logging in 20 times still counts as 1. Email recipients never count. You can send scheduled reports to hundreds of stakeholders, the homepage example is 500, and as long as they only receive email they never touch your limit. The blog adds that recipients do not need a login.

Branding and access control sit in the same bundle. Row-level security lets one report show each client or department only its own rows, and the company stresses that this is not a premium add-on. White-label branding and a custom domain are listed on every plan too. The homepage also lists encryption, dedicated databases, and EU and US data regions as part of the security on every plan, with GDPR-ready architecture. For sign-in, the Klipfolio comparison page says session-token SSO through its DoLogin API is on all plans, with Duo MFA and header-based SSO on the Scale tier and above.

Agencies get a worked example on the homepage. The company says it has no say in what you charge your clients, so your DashboardFox price stays flat, and it gives the arithmetic of charging 10 clients $150 a month for reporting on top of the $249 Growth plan, which it calls $1,251 in monthly profit.

On AI, the company is direct. Asked whether DashboardFox has AI features, its Klipfolio comparison answers "Not yet," says it is getting the core semantic layer right first, and lists plain-language query building, visualization suggestions and analysis of outputs as the roadmap, in a model-agnostic way.

For teams that want their own server, the homepage asks "Need your own server or a BAA?" and points to a self-hosted option from $4,995 one-time.

The evidence from the pages

The cloud tiers are named by active-user limits. The blog and homepage list $99 a month for 5 MAU, $249 a month for 30 MAU, and $499 a month for 100 MAU. All of them include row-level security, white-label branding, unlimited reports and dashboards, and the homepage's comparison table says custom domain and EU and US data regions are on every plan as well. If you pass your limit you can add blocks of 10 MAU at any time, and the company says nobody gets locked out in a busy month. Self-hosted perpetual licenses start at $4,995 one-time.

The free trial runs 7 days with no credit card, and you can click once to extend it by 7 more for 14 days in total. The FAQ adds that if you need more time you can just reach out, with no sales call. The company says there are no contracts and no setup fees, and warns that annual plans are non-refundable. It also offers a "Talk to an Engineer" option.

The company compares itself to others, and these are its own figures. A table on the homepage lists row-level security as "Premium+" on Power BI, "Enterprise" on Tableau and "Pro ($575/mo)" on Metabase, and prices 25 active users at $249 a month for DashboardFox against $350 for Power BI and $575 for Metabase. The Klipfolio page puts an agency with 45 client dashboards, a custom domain and white-label branding at $249 a month on DashboardFox against $809 on Klipfolio, built from a $310 Team plan, 25 extra dashboards at $8 each and a $299 white-label bundle. Treat those as the vendor's comparisons rather than independent testing.

The homepage's proof is longevity, since 2009, and the pricing detail itself. The product advertises itself as "Built lean. Priced fairly. Supported by humans."

Who it suits and who it does not

DashboardFox suits an agency or consultancy that wants to hand each client a branded login to their own data without paying per seat or per dashboard. It suits a finance or operations team where a manager who is comfortable with Excel pivot tables needs to build reports from a SQL database without waiting on IT. A company that wants to run the software on its own server, or needs a BAA, has a stated route. Teams with many occasional report readers do well here, because email recipients never count against the limit.

It is a weaker match for teams that want exploratory analysis, data science or machine learning, which the company itself rules out. Because pricing runs on MAU tiers, a team with a large number of regular dashboard users should work out which tier it lands in, since only people who log in count and the tiers are 5, 30 and 100. Cloud warehouse connections run through ODBC and availability varies by plan, so a Snowflake or BigQuery shop should confirm its tier before buying. And anyone who wants built-in AI features today should note the company's own answer, which is that they are on the roadmap and not yet shipped.