Rig, vs. building it yourself.
Two paths to the same outcome. Pick where you're starting from and we'll show you the honest comparison.
No warehouse yet? You need a data stack that's AI-native.
The Modern Data Stack you'd build yourselves.
Typical early-stage shape: ~10 SaaS sources, ~1 TB of data, one data engineer stitching it together. Numbers will vary; the shape doesn't.
Three comparisons that come up most.
vs. Building the full MDS yourselves
Ten products, ten contracts, ten integrations. Six to nine months to first useful output, and a permanent maintenance tax once it's live.
One product. Ingestion, warehouse, modelling, hosting, AI, governance, audit — all in. First useful output inside a week. No data team needed to start.
vs. A data consultancy build
Six-figure SOW, three to six months of discovery and stand-up. You inherit a stack you didn't choose and still have to run it.
Self-serve on day one, white-glove if you want it. We run the stack so your team owns the workflows, not the plumbing.
vs. Hiring a data team to figure it out
First data hire spends six months picking tools before shipping anything. Second hire spends six months gluing them together.
Your existing operators ship the first apps. Hire a data person when you actually need one, not as a precondition.
Already mid-build? Talk to us about migrating off your DIY stack.
Rig's AI agent handles the schema translation. The longer you wait, the more there is to migrate.