A Real Database For Your Business Data
Power Tables is where big, structured data lives inside MangoApps. Every table is a real Postgres table with typed, indexable columns — not a grid of cells held in memory — so a parts catalog, a sales ledger, or an asset registry scales to millions of rows and stays fast. Import CSV or Excel, author saved views, and feed always-current Live Boards displays.
What Power Tables Helps You Do
The data backbone for the numbers your teams run on — stored at database scale, queried at database speed.
Store Data At Real Scale
Each table you create is a real Postgres table with typed columns — text, number, currency, date, select, People, and more. Scale is bounded by indexes, not by how much a browser can hold.
Import CSV Or Excel
Bring in files up to 100 MB with an explicit column-mapping step, streaming progress, and per-row error reporting. New file columns can be created automatically as you import.
Author Saved Views
Capture a filter, sort, and column layout straight from the grid. Every table starts with an "All rows" view — and views are what Live Boards bind to.
Enforce Validation Rules
Required values, min/max bounds for numbers and currency, regex format patterns for text — enforced on every row write, including per-row on imports and the REST API.
See Who Changed What
Every single-row change lands in a per-row History panel — who changed which field, old value to new — kept for 180 days.
Get Data Back Out
Export any view to CSV or Excel — current filters, search, sort, and visible columns — as a background task with a download when it's ready. Or integrate over the REST API.
Three Reasons Teams Move Their Data Into Power Tables
Why operational datasets outgrow spreadsheets — and what a real database inside the workspace does differently.
Database Speed At Any Depth
Filters and sorts are SQL with real indexes. Pagination is keyset-based, so page one thousand is as fast as page one, and row counts come back as fast estimates instead of blocking scans.
- One Postgres table per user table — SQL-native sort and filter, no in-memory grid ceiling.
- User-marked indexes — mark the columns you sort and filter on; index builds run in the background with tracked progress.
- Keyset pagination — constant-time scrolling with no row-count ceiling.
- Full-text search across text columns, plus per-column filters with type-aware operators.
Data In And Out On Its Own Schedule
Recurring exports from a POS, ERP, or telephony system land automatically, bulk changes run as tracked jobs, and templates get new tables started on structure.
- Scheduled imports — a nightly pull from an https CSV or Excel URL per table, in replace or append mode, with a Run now button.
- Bulk edit — set one column's value across selected rows as a tracked job with per-row validation errors reported.
- Prebuilt templates — Asset registry, Visitor log, Store performance, and Incident tracker schemas in the New Table drawer.
- REST API — list tables, read rows with keyset pagination, run filtered aggregates, and ingest rows under least-privilege token scopes.
A Database, Not Another Spreadsheet
Editing is deliberately record-oriented — click a row and a drawer opens with one typed input per column, with optimistic concurrency so two admins never silently overwrite each other. AI Sheets is the spreadsheet product; Power Tables is where big, structured data lives.
- Typed inputs per column — date pickers, dropdowns, yes/no, a people picker.
- Optimistic concurrency — conflicting saves are caught, never silently overwritten.
- Ask AI aggregates — the optional agent answers filtered counts, sums, averages, minimums, and maximums directly from your tables.
- Feeds Live Boards — saved views power always-current leaderboards, stat tiles, and tables on dashboards and signage.
Power Tables In Practice
A practical scope check: what the app covers, which controls matter, and the workflows teams usually run first.
Core workflow
Admins create typed tables, import data, and author saved views; every member with app access can view, filter, and search.
Controls that matter
Per-column validation rules, per-row change history, optimistic concurrency on edits, and least-privilege API token scopes.
Scope and specs
Useful specs: 11 column types; up to 10 million rows per table; imports up to 100 MB (CSV or XLSX); row history kept 180 days.
Sales ledger behind the leaderboard
Import a weekly sales extract, save a "top sellers" view, and bind a Live Boards leaderboard to it.
Equipment and asset registry
Serial numbers, locations, warranty dates, and cost — filtered to "warranty ends in 90 days" as a shared view.
Searchable reference table
A parts catalog or price list with hundreds of thousands of rows, instantly searchable by everyone with app access.
PAY AS YOU GO
Pricing That Follows The Data, Not The Headcount
Power Tables is available to every tenant and stays off until an admin enables it. No license decision, no per-seat negotiation.
Metered on rows stored
Billing is pay-as-you-go per 1,000 rows stored per year. Store more, pay more; archive a table and it stops counting.
No per-seat charge
Every member with app access can view, filter, and search tables — viewers are never a line item, and there is no monthly floor.
Volume tiers that reward scale
Tiered unit prices drop as your data grows, so the millionth row costs less than the first.
Connected To The Rest Of MangoApps
→ Live Boards
Boards bind to Power Tables saved views — the data lives here, the always-current leaderboards, stat tiles, and charts render there.
→ AI Sheets
AI Sheets is the spreadsheet — cell editing and formulas. Power Tables is the database. Work a dataset in Sheets; store one at scale here.
→ Digital Signage
Via Live Boards, saved views become signage slides — the break-room leaderboard updates as imports land.
→ Ask AI
The optional Power Tables agent answers filtered counts, sums, averages, minimums, and maximums directly from your tables.
Pair Power Tables With Its Agent
The Power Tables agent answers data questions with filtered aggregates computed against the real tables — never a guessed total.
Power Tables
Filtered counts, sums, averages, minimums, and maximums over any table.
Customer Success
How Teams Use MangoApps For Operational Data
Video Case Studies
Customer Case Studies
Customer Case Studies
Customer Case Studies
Customer Case Studies
Customer Case Studies
Frequently Asked Questions
AI Sheets is the spreadsheet — cell editing, formulas, in-memory richness. Power Tables is the database — typed records, millions of rows, saved views, and no formulas. The grid is a read-only viewport and edits happen record-by-record in a typed drawer. Use Sheets to work a dataset; use Power Tables to store one at scale and feed live displays.
Pay-as-you-go on rows stored, metered per 1,000 rows per year, with tiered unit prices that drop as your data grows. There is no per-seat charge and no monthly floor. The app is available to every tenant with no license decision — it simply stays off until an admin enables it.
Power Tables is admin-managed — admins create tables, define columns, import files, and edit records. Every member with access to the app can open tables, filter, sort, and search. Viewing is not an admin privilege.
Yes to both. Import accepts CSV and Excel (XLSX) files up to 100 MB through a two-step flow where you map each file column before anything lands. Export captures the grid's current view — filters, search, sort, and visible columns — as CSV or Excel, running as a background task with a download when it's ready. For programmatic access there is also a REST API.
Yes. Each table can have one scheduled import — a nightly pull from an https CSV or Excel URL, in replace mode (the source is the system of record) or append mode (every run adds rows). A Run now button triggers it on demand, and the last run's status shows on the table page.
Yes, for single-row changes. Every add, edit, and delete made through the row drawer, bulk edit, or the REST API is logged per field — who changed it, old value to new — and shown in a History panel inside the row's edit drawer, kept for 180 days. Imports are audited at the import-task level.
No — that is the point of the architecture. Each table is a real Postgres table, so filters and sorts are SQL with real indexes, pagination is keyset-based, and row counts are fast estimates rather than blocking scans. You mark the columns you sort and filter on for indexing, and index builds run in the background.
A saved view captures a filter, a sort, and a set of visible columns — authored straight from the grid. Live Boards bind to views, not raw tables, so the view defines exactly which rows and ordering a leaderboard or stat tile reflects. Refine the view and every board on it updates.
Yes. The REST API lists tables, returns a table's structure, reads rows with the same filter grammar and keyset pagination as the grid, runs filtered aggregates, and — for admin users — ingests rows through the same validation path as the row drawer. Access is by API token with least-privilege read and write scopes.
No, deliberately. Power Tables stores and serves typed data; it does not compute derived cells. For formula work, that is AI Sheets' job — and for display-time math like trends, Live Boards can compare two numeric columns of the same view.
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