Data Stack Consolidation

You already bought the tool.
Asking it a question costs extra.

Every major BI platform sells AI as a line item on top of the seat you already pay for - and the ingestion and transformation layers underneath are their own vendors, their own bills, their own definition of what revenue means. Find the stack you're running today.

6

stacks we replace, one governed layer

Running Zoho Analytics because it came bundled with the rest of Zoho? Still living in spreadsheets and scripts? Running Fivetran, dbt, and Metabase? Three vendors, three bills, no shared governance. Airbyte, Matillion, and Looker? Real control, paid for in engineering time you don't have. Still on Tableau or Power BI? The dashboards work - the AI costs extra. Evaluating Golden Analytics? A real platform, built for a different bet. Find yours below.

What Actually Happens

One governed platform.
Or a stack of vendors, bills, and seams.

Whatever you're replacing, the difference comes down to how many tools it takes to get a trustworthy answer.

Today

Whatever you're running today

  • Ingestion, transform, dashboards, AI - a separate vendor for each
  • Every added tool is another bill, another login, another owner
  • Tool sprawl means governance stops at the seams between them
  • No one can say which tool's number is the real one
  • Revenue means something slightly different in each tool
  • Answer lands with a caveat about the definition, or a bill
  • The AI layer samples your data or costs extra to unlock
  • Ask someone, or build a dashboard first, to get an answer

With Edilitics

One governed layer

  • Integrate, Transform, Visualize, AskEdi - one product, one vendor
  • One bill, one login, one team owns the whole stack
  • Governance holds end to end, not just inside one tool
  • One definition of revenue, checked everywhere it's used
  • Deterministic SQL you can read, not a confident guess
  • Answer lands in seconds, and it holds up when challenged
  • Ask in plain English, get an answer from a live query
  • No sampling, no paywalled AI - live queries, included
80-90%

of Fivetran customers already ran dbt - the estimate behind their June 2026 merger

The vendors stopped pretending these were separate businesses. If your ingestion and transformation layers just merged into one company, it's worth asking why they're still two line items on your invoice.

COMMON QUESTIONS

Everything you need to know before you decide.

No sales call needed. If you have a question we haven't answered here, reach out directly.

THE NEXT LEVEL

Not sure what you'd be replacing?

Most teams are running some version of the same thing: a connector tool, a transformation layer, a dashboard, and a data person holding it together. Book a demo and we'll map what carries over and what goes away.