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3 min read

Unleashing Smarter Snowflake Management: 3 New Features Every Data Engineer Will Love

Snowflake gave us infinite scale, but it also handed us an infinitely growing bill and an ever-longer list of operational questions:

  • How much does Time Travel really cost me?
  • Why does this rarely used clone cost 20% of my storage bill?
  • Are my warehouses sized for throughput or for glare?

 

Today we launched three brand-new Seemore Data features designed to put those answers (and more) in front of every data engineer, in real time.

Let’s dive in.

1. Time-Travel & Clone Cost Visibility, Right on the Cost Overview Dashboard

Time Travel and zero-copy cloning are fantastic Snowflake features but they can quietly drain budgets if you’re not watching. Our Cost Overview dashboard now:

  • Breaks out storage consumed by each retention window and clone lineage 
  • Animates growth over time, so you can rewind to any date and pinpoint sudden spikes 
  • Surfaces recommended retention right-sizing and identifies stale clones

Engineer win: See the exact dollar impact of every “just in case” clone and dial it back with confidence.

 

2. Whole-Warehouse Health Score, Because Uptime Is a Capability

We’ve rolled dozens of noisy metrics into a single, opinionated Health Score that reflects how well your Snowflake environment supports the workloads you care about.

  • Query latency, warehouse queuing, credit burn, disk skew, metadata locks, weighted by your own SLA priorities 
  • A simple color-coded badge everywhere you already live (dashboards, Slack alerts, API) 
  • Drill-down to “why” in two clicks: which warehouse, which workload, which SQL pattern

Engineer win: Monday-morning quick check in one glance, no more stitching twelve reports in a panic.

 

3. Service-Level Cost Trend Analysis 

Inside the Services View you’ll now find a  cost explorer that slices spend by:

  • Underlying data assets 
  • Applied efficiency metrics to get a fast and deep understanding of how to use the service correctly
    The chart auto-detects trend inflections, flags anomalous spend, and recommends the easiest levers to pull first.

Engineer win: Instant FinOps alignment, showing how and where services should be implemented

What Does This Means for Your Team?

Pain Point

Old Reality

With Seemore Data

Surprise cost spikes Discovered at month-end Alerted in-flight, with root cause
Time-Travel clutter Manual queries, guesswork Visual lineage + retention advice
Health drift “It feels slow today” Quantified score & drill-downs

Next Steps

  1. Jump into the new dashboards.
  2. Enable the Health Score webhook to push alerts into Slack/MS Teams.
  3. Tell us what you’d automate next, our roadmap is built by engineers, for engineers. 

Ready to see every Snowflake credit earn its keep? Log in or start a free 14-day trial.

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Cool, now
what can you DO with this?

data ROI