Mammoth

What it is

Mammoth, from Mammoth Analytics, is a data platform for business teams that combines data preparation, scheduled automation and dashboards in one no-code product. The site's tagline reads "Dashboards, data prep and automation for business teams," and it says the product is "Made in London." The pitch is that the monthly spreadsheet work a team keeps redoing, such as merging site sales files, fixing messy dates and rebuilding a report, becomes a system that runs on its own. The intended reader is an operations, marketing or product team without a dedicated data engineer. The company's own blog says it built Mammoth because it did not have one either.

What you build and how

The unit of work is a pipeline. The homepage describes it as something that "Runs top to bottom," and its example has 5 steps: combine 5 files, standardize text in a site column, convert dates from 3 formats to 1, remove duplicates across the whole row, and publish a dashboard. Other transformations shown include renaming a column and splitting a column. You do not write SQL or formulas for this, per the site's "No SQL, no formulas."

The pipeline stays inspectable. The site's line is "See the pipeline under your dashboard. Open any step, change it, run it again." That matters for a reporting system someone else will inherit, because the logic is a list of steps and not a hidden script.

The AI layer sits on top of that. You describe the change you want in plain English, and Mammoth "writes the pipeline steps, runs them, and builds the dashboard at the end." Example prompts on the homepage include "Merge my five site sales files and show me margin by store," "Reconcile month-end" and "One dashboard per client." The site lists 3 behaviors: you ask in plain English and get a real pipeline, every step it took is listed and editable, and "It stops and asks instead of guessing." Intent-based transformation, AI rules and Smart Fill are all on every plan.

Before any step runs, the data sits in a table view that works like a spreadsheet. The homepage's sample shows a sales table with a status on each row (Clean, Needs fixing or Duplicate), plus controls to filter records and hide fields, so you see what is wrong before you fix it. In that demo the cleanup includes a pipeline step that removes duplicate rows, and the published sample dashboard, Sales by site, shows tiles for net sales, transactions, average basket and how many sites reported on time.

Dashboards are the output. Charts and reports are published from the same system as the pipelines, so a dashboard reflects the cleaned data and the steps behind it. The site promotes 41 dashboard templates that are free to use, on the homepage. You can share a dashboard by sending a link or putting it behind a login, and the site says there are "No per viewer fees, ever."

Automation completes the loop. The homepage shows schedules and triggers, with examples of daily at 06:00, on file arrival and hourly. That is how a report refreshes without someone rerunning it. The blog adds that data warehousing is also built in, so a team does not need a separate warehouse to get started, and that data cleaning, workflows and warehousing come in one tool.

Connections cover files, apps and databases. The site says files, spreadsheets and standard databases are included on every plan, with Excel, CSV, PDF and database sources named. Anything else counts against the 3 premium connection slots that Pro includes. The site also lists solutions for financial services, retail and CPG, services and agencies, and enterprise.

Plans, limits and claims

The homepage says "Free plan, no time limit. No credit card." The homepage lists no paid prices. A comparison article on the company's blog states that Mammoth "Starts at $39 /month with a 14-day free trial," and another page offers a "14-day Pro trial" with no credit card. The same comparison lists Alteryx Starter at $250 per user per month billed annually, and says Alteryx licensing "can run into the thousands per user per year." Those are the vendor's own comparisons and not independent figures, so verify them on the pricing page.

Plan limits visible on the homepage are specific. Intent-based transformation, AI rules and Smart Fill are on every plan. A green dot in the connections list marks what is on every plan, free included. Premium connections are limited to the 3 slots Pro includes. The homepage states no row limit or user limit for the free plan.

The footer lists compliance as "SOC 2 Type II, ISO/IEC 27001:2022, HIPAA and GDPR,".

The site also links comparison pages against Tableau, Power BI, Looker, Alteryx and Excel with AI. The company also writes comparison content. Its blog sets Mammoth against Alteryx and Power BI, arguing that Alteryx is powerful but costly and slow to learn, and that Power BI gives clean dashboards but "assumes your data is already clean and ready to go." The blog claims, "If you can use a spreadsheet, you can use Mammoth." Read these as the company's positioning. Its comparison table describes Mammoth as focused on "data automation and transformation, with easy-to-customize workflows."

Who it suits and who it does not

Mammoth fits a small ops, marketing or product team that spends each month merging exports, fixing inconsistent text and dates, and rebuilding the same report. The path from messy files to a scheduled dashboard in one tool suits someone who is comfortable in a spreadsheet and not in a code editor. The no-per-viewer pricing line suits teams that want to share a dashboard with many colleagues or clients. The "One dashboard per client" prompt suggests agencies could use it to produce a view for each customer, and the site lists a solution for services and agencies.

It is a weaker fit if you already have clean, governed data in a warehouse and mainly want a visualization layer, because the value here starts with the pipeline. The company's own blog says Tableau suits visualization and that teams often pair a preparation tool such as Mammoth with it. Teams that need advanced statistical or machine learning work are not the target. The site does not mention them, so ask before assuming support. Finally, premium connections are capped at 3 slots on Pro, so a team that draws from many niche apps should count its sources before committing.