Snowflake's Teradata and Oracle Migration Tools: Do the 4x Claims Hold Up?

Ninety percent. That's Snowflake's own number. Migrations up to four times faster, costs cut by as much as ninety percent. That claim is eleven months old now... and I could not find a single independent audit of it.

Ninety percent cheaper than WHAT, though. That's always where the trick is hiding.

Hold that question. It's the whole episode, and I'll give you the answer at the end. Scene first. November tenth, twenty twenty-five. Snowflake announces a definitive agreement to acquire the technology and the team behind a small San Francisco company called Datometry. Terms undisclosed. Founder and chief executive Mike Waas comes across, the CTO Michael Duller, and the VP of customer success, Rima Mutreja.

Never heard of them.

Most platform teams hadn't. But their product, Hyper-Q, isn't a code converter. It translates queries, scripts, whole workloads, in real time. Your application keeps speaking Teradata... and Snowflake answers.

Hang on. So the application never finds out it moved?

Minimal code changes, that's the pitch. Snowflake says that's what saves the months you'd burn migrating client applications, tooling and workflows. And they're folding it into SnowConvert AI.

The thing they made free.

Free to download. Customers, prospects, partners. Powered by their Cortex AI agents, it converts code and objects, then verifies and validates them. Oracle, SQL Server, Teradata, Redshift, BigQuery, Greenplum, Sybase, Synapse, Netezza. Published figure: it automates more than ninety-six percent of code and object conversion.

Ninety-six. So the leftover four percent is just the four percent that ruins your quarter.

You've done this before. And look at their own worked example. Three hundred tables, a hundred and fifty views, fifty stored procedures. SnowConvert saves up to a month of work. A month. Not a year.

So the conversion was never the expensive part.

Snowflake's own engineering blog noted that converting procedures was available only with a professional services agreement. The gnarly stuff. Decades of business rules buried in stored procedures and BTEQ scripts. That's where the money goes.

And the Oracle shops? Exadata people. Why are they even in this conversation?

Cost structure. Exadata licensing runs off CPU cores and which features you switch on, plus hardware, support, maintenance. Your bill moves in ways finance hates. Snowflake sells the mirror image: pay as you go, compute and storage scaling separately, no over-provisioning.

Sounds clean. Suspiciously clean.

It is. Because the accelerator makes lift-and-shift easy, and easy is the trap. There's a line from a migration guide published this summer I can't get out of my head. That seven-layer nested view? Still seven layers in Snowflake. The transformation that recalculates dimensions every night instead of incrementally? Still inefficient... except now it burns cloud credits. Every night.

Congratulations, you automated your bad decisions at four times the speed.

Then the costs nobody puts in the business case. Parallel-run infrastructure while both platforms are live. Cross-region transfers and egress between cloud providers. Staff time, consultants, rework when validation problems surface late. Ingestion into Snowflake is typically free. Everything around it isn't.

Okay. So when does this actually work? Give me conditions.

Practitioners on modern frameworks report migrating one priority domain in four to six weeks, proving data equivalence with automated validation as they go. Notice the shape of that. One domain. Not the estate. And validation running the whole time, not bolted on at the end.

And the real-time translation layer. Bridge, or permanent furniture?

Unresolved, and I want to be honest, Snowflake hasn't published detail on it. Emulation gets your applications off the old box fast. Leave it running for years, and you're paying Snowflake to speak a dead dialect forever.

A translator you never get to fire.

Now the scoreboard, because this is a fight. Teradata, second quarter of fiscal twenty twenty-six: cloud annual recurring revenue growing eight to nine percent, and cloud slipped as a share of total ARR, forty-six percent down to forty-five. They did raise profitability guidance, non-GAAP earnings per share of two sixty-five to two seventy-three, adjusted free cash flow of three hundred and thirty to three hundred and fifty million. Forrester still names them a leader.

So not collapsing. Just not converting fast enough.

Meanwhile Snowflake's fourth quarter, reported February twenty-fifth. Product revenue of one point two two seven billion dollars, up thirty percent. Thirteen thousand three hundred and twenty-eight customers. Remaining performance obligations of nine point seven seven billion, up forty-two percent.

Which buys a lot of free migration tooling.

That's the strategic read. Analysts at SiliconANGLE wrote on June second that these look like tactical Teradata plays, but they're bigger — because the old systems are where the business knowledge actually lives. Whoever moves the logic owns the semantics.

So it isn't a migration project. It's a transfer of who defines your numbers.

Yes. And your question from the top — ninety percent cheaper than what. That figure is Snowflake's, measured against hand-writing the application and tooling code yourself. It is not a claim about your total programme cost. No vendor's calculator replaces your own parallel-run estimate.

What are we watching next week?

Three things. Whether Snowflake publishes real shipping detail on the Datometry translation layer inside SnowConvert AI, rather than announcement language. Whether Teradata's next cloud ARR print stops the slide. And in your own shop — pick one domain, run the free converter, and count what it can't translate. That number is your actual timeline.

Not what it converts. What it refuses to.

Every migration tool is a promise about the easy part. The hard part is still sitting in a stored procedure somebody wrote in nineteen ninety-eight... and never documented.