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Your whole data journey. One platform.

Connect, prepare, automate, govern, share — every step in one place. No shuttling files between tools. No handoffs. No waiting on a ticket. Build a dashboard in 15 minutes and share it free.

  1. 01
    Connect
    PostgresS3 · CSVHubSpot
  2. 02
    Prepare
    IDREGIONREV
    1042EMEA8.2K
    1043APAC6.9K
  3. 03
    Automate
    Daily 06:00ON
    Last run4M AGO
  4. 04
    Govern
    FinanceEdit
    SalesView
  5. 05
    ShareUNLIMITED VIEWERS · $0
$0 viewers, unlimited on every planNo credit card to start

In production at

  • Arla Foods logo
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  • NielsenIQ logo
  • PTI Digital logo
  • RethinkFirst logo
  • Starbucks logo
  • The Specialist Works logo

01 The premise

The handoffs are where it breaks.

Every tool boundary is a ticket that waits and a file that goes stale. Most “stacks” are five products taped together — and the seams between them are exactly where data work falls apart.

Mammoth has no seams. Connect, prepare, automate, govern, share — one container. The data never leaves, so there’s nothing to hand off and nothing to break.

Five tools, taped together
  1. Extract
  2. Prep
  3. Warehouse
  4. BI
  5. Share

Every arrow is an export, a ticket, a chance to go stale.

One conduit
  1. Connect
  2. Prepare
  3. Automate
  4. Govern
  5. Share

No exports. No handoffs. No seams.

1B+

rows processed on the same canvas. No export.

02 Connect & prepare

Connect and prepare. No export.

Pull in files, databases and apps, then shape them right there: a full library of no-code transforms, raw SQL, and AI suggestions — all working on the live data, on the same canvas.

No copy out to a prep tool, no copy back. The work happens where the data already lives, at billion-row scale.

  • No-code transforms
  • Raw SQL
  • AI suggestions
  • 1B+ rows

03 Automate

It keeps itself current.

Schedules, dependencies and auto-sync mean the journey reruns itself. Set it once, and tomorrow’s numbers are right before anyone asks — without you touching a thing.

A dashboard that needs a Monday-morning export isn’t done. This one just stays fresh.

Auto-sync · daily 6:00am

  1. 06:00Sources refreshed — Postgres, Shopify, Sheets.
  2. 06:01Transforms & joins reran in dependency order.
  3. 06:02Dashboard republished. Viewers see today's numbers.

Draft mode

Review first.

Edits never ship raw.

Access

Who sees what.

Role-based, built in.

Row-level security

Their slice only.

Per user, on shared dashboards.

Checkpoints

Validate before.

Nulls flagged before publish.

04 Govern

Trust every number.

Checkpoints, draft mode, role-based access and Row-Level Security aren’t bolted on after the fact. They live inside the journey — so what ships is reviewed, scoped, and yours alone.

Governance where the data already is. Not a separate product to integrate.

05 Share — the launch

Then everyone sees it. Free.

Describe the dashboard, pick a theme, share three ways — public link, password-protected, or authenticated. About 15 minutes from data to published. And viewers never cost a cent.

AI Dashboards are generally available.

Explore AI Dashboards
  1. 01

    Public link

    Anyone with the URL. Nothing to install, no account to make.

  2. 02

    Password-protected

    The same link, with one shared password in front of it.

  3. 03

    Authenticated

    Named viewers who sign in, with Row-Level Security on Pro and Enterprise so each one sees only their own rows.

Honestly

We won’t pretend they’re bad.

The incumbents are genuinely strong at deep, specialist analytics. That’s the point — your team doesn’t need a specialist stack. One platform for the whole journey, at a price that doesn’t punish reading.

Mammoth compared with Tableau, Power BI, Alteryx and Excel with AI across five criteria.
MammothTableauPower BIAlteryxExcel + AI
Time to first dashboard~15 minutesDays to weeksDaysDaysAn hour, then it's a file
Who builds itAnyone on the teamAnalyst or BI teamAnalystData specialistAnyone
Data prep in the same placeYes, one canvasPrep sold separatelyDataflows, extra setupYes, its core strengthManual, every time
Cost to share with 200 people$0, viewers freePer-viewer licencePer-viewer licenceNot built for sharing$0, but no single source
Stays current on its ownScheduled + event-drivenExtract schedule to maintainGateway to maintainScheduled workflow (Server)No, someone redoes it
Read the full comparisons

Competitor pricing and capabilities as published August 2026.

Sharing

Everyone can see it.
Nobody pays to look.

Traditional BI charges per person who opens a dashboard, so insight stops at whoever had budget. Mammoth charges for the people who build. Viewers are unlimited and free on every plan, including the free one.

Typical per-seat BI
$24,000+/yr
$24,000 to $100,000 a year for 200 people, at $10 to $42 each per month — a Power BI Pro seat at the low end, a Tableau Explorer seat at the high. Vendor rates verified 16 August 2026.
The same 200 on Mammoth
$0/yr
Viewers are free. Always.
See what a plan costs

One team, one bill

200 people

  • 5 builders connect data, build pipelines and publish
  • 195 viewers open, filter, export and subscribe · free

Every capability is on every plan, including Free. You pay for scale: storage, refresh frequency, builders. Never for access.

Four plans. Every feature on all of them.

Full pricing
Free
$0
1 builder, forever
Starter
$199
per month, up to 5 builders
Pro
$559
per month, up to 10 builders
Enterprise
From $5K
per month, unlimited

Paid plans priced on annual billing

You pay for scale: storage, refresh frequency, and how many people build. Dashboard viewers are always free, on every plan including Free.

Try it on your data. Today.

21 days of full Pro. No credit card. If you don’t subscribe, your work moves to the Free plan — nothing gets deleted.

  • 21-day Pro trial
  • No credit card
  • Viewers always free