Load only what changed
orders_reloadreloads the whole table every hour. 3% of rows change.
$221ka year
$24k of one-off work, pays back in 6 weeks.
- On the bill
- Shipped Sep 24.October bill: $4.2k a month, was $22.6k.
Data platforms keep growing, and so does the bill. Datapace maps what your platform holds, what it costs and what it is for, then cuts the waste. Paid on results.
Illustrative estate of a retail and logistics group. Hover, tap or use the arrows to open any part.
Example estate of a retail and logistics group, monthly: $369k in all, $259k reaching a project and $110k reaching none. Findings: Warehouse systems, Nightly sync misses its 6am promise twice a week; Export and backup jobs, Exports nobody has downloaded since March; Landing and backups, Backups kept 400 days where the policy says 35; Loading and refresh jobs, Full reloads every hour while 3% of rows change; Datasets built for a project, Rebuilt daily, read twice a month; Assistant datasets, Duplicates a lakehouse table nobody retired.
Stores and warehouses · SQL Server
Monthly cost
$8.1k
Read by
Missed a promise: Nightly sync misses its 6am promise twice a week.
What Datapace proposes:
Warehouse sync on the lakehouse, $46k a year, after $85k of work
Every figure points at a job, a table and a bill line.
The owner and the sponsor sign. Nothing ships on its own.
The next bill proves it.
Example sheet: Load only what changed, $221k a year for $24k of one-off work, paid back in 6 weeks. Approved by the owner on Sep 10 and the sponsor on Sep 12, shipped Sep 24, measured on the October bill: $4.2k a month, was $22.6k.

We built Datapace for the people who inherit the platform: know what it holds, what it costs and what it is for.
Datapace is built with the consultancies and advisors who already serve the organizations we serve. They bring the industries and the delivery. We bring the map of the estate, the business cases, and the controls that turn findings into approved changes.
Technology partner helping manufacturing, supply chain, and retail companies modernize systems and turn operational data into practical solutions. Tallinn, Estonia.


AI advisory helping organizations find where AI creates real business value, put a dollar figure on it, and set the governance rules to deploy it responsibly. Montréal, Canada.
One call, your stack, and a first picture of what it holds and what it costs.
Paid on results.