Net-New Workloads
A data request sitting in your backlog that hasn't been built yet. This is the cleanest test: no migration, no untangling, a baseline you already know because the request has been aging in the queue.
One workload. 30 days. Your baseline vs. ours.
We claim data requests resolve in hours, not months — 99% faster across discovery, build, validation, and testing. That's either true on your data or it isn't. Pick a workload and measure us.
30-minute scoping call. No procurement, no commitment — Tabsdata is free for self-supported deployments.
Most vendor pilots are demos with a deadline. This one is a measurement. Before we start, you set the baseline: how long a comparable data request takes your team today, from the moment it's filed to the moment the requester accepts the result. Then we run the same lifecycle — discovery, duplication check, build with incremental validation, regression and acceptance — on Tabsdata, and compare the clock. You define "comparable." You hold the stopwatch.
The three numbers on the table:
The pilot works best on a workload where the measurement is clean and the stakes are real. Two profiles fit:
A data request sitting in your backlog that hasn't been built yet. This is the cleanest test: no migration, no untangling, a baseline you already know because the request has been aging in the queue.
A workload that exists but hurts — a real-time layer that breaks quietly, a pipeline nobody owns, a dataflow your team is afraid to touch. Rebuilding it on Tabsdata gives you the measurement plus a fix you keep.
What we'll tell you not to pick: a stable, well-owned production pipeline migration. The pilot should never put your existing estate at risk. If a workload is working, leave it alone.
When the pilot ends, three paths — all of them yours to choose. Keep running Tabsdata free, self-supported, in your own network. Move to a paid contract, which adds 24/7 support and full indemnification. Or walk away — the dataflow, the lineage, and the measurement are yours either way. There's no pilot-to-purchase trapdoor, because the economics don't need one: the platform is free to run, and the paid tier exists for teams that want someone on the hook besides themselves.
The fit is simple: you have three or more data engineers, and a data request backlog that isn't getting better. Company size and industry don't matter — the stack spanning multiple tools and the queue aging in weeks is the same problem everywhere. If your data leaders are being asked "why does everything take so long" and your engineers are tired of being the answer, this is aimed at you.
A 30-minute scoping call picks the workload, defines "comparable," and sets the measurement. If the fit isn't there, we'll say so on the call.