• See every dollar
  • Automate the fixes
  • Metadata only
  • No data stored
  • PII data masking

Take control of your Databricks environment

Seemore is the context-aware control plane for your lakehouse. Get full visibility and cost attribution across your Databricks environment, understand exactly where your spend is going, and automatically eliminate waste with AI agents - within policies you approve.

  • AI services
  • All-purpose compute
  • Jobs & Lakeflow pipelines
  • SQL warehouses (serverless, pro, classic)
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Trusted by leading global data teams

  • Arch
  • Juniper Networks
  • DoubleVerify
  • SurveyMonkey
  • Paychex
  • Gong
  • Bright Data
  • Deel
  • Lemonade
  • Optimove

Seemore’s main selling point for us was cost savings, but it delivers much more. It allows me to replace other tools I previously used to track data flows across our infrastructure. The lineage Seemore provides is far superior to anything I’ve seen before.

Dror Yosef Chief Data Officer (Snowflake customer)
What Seemore customers see today

Databricks gives you a thousand dials,
and a bill you see after the damage is done.

  • Scheduled jobs running on all-purpose compute, at a higher DBU rate than jobs compute
  • SQL warehouses and clusters idling for up to 45 minutes before they auto-stop
  • DBUs on one bill, cloud VMs on another, and no clear owner on either
  • New AI spend on Model Serving, Vector Search and Genie that nobody is tracking
  • 33% Average Snowflake bill reduction
  • 6.1X Average ROI on Snowflake
  • 73% Of Snowflake savings automated
  • 50+ Data engineering skills via our MCP

Everything you need to run Databricks efficiently

  • Visibility

    See DBU and cloud costs across workspaces, workloads and users - down to individual queries and jobs

  • Cost attribution & chargeback

    Attribute spend by team, product or business unit, and track usage against your Databricks commit

  • Monitoring

    Detect cost anomalies in real time, find the root cause and see who owns it

  • Assistant, Prism AI & MCP

    Put the full context graph in front of your team and your own AI agents

  • Cost optimization

    Automatically optimize SQL warehouses with SmartPulse, Auto-Shutdown and Auto-Scaler

  • Performance optimization

    Right-size to your SLOs, catch performance issues and reduce cost without the guesswork

Built for every Databricks workload

  • AI services

    Model Serving, Vector Search, Genie

    • Absorb
    • Monitor
    • Optimize Cost per endpoint, model and consumer; idle endpoints and unowned AI spend
  • All-purpose compute

    Interactive clusters, notebooks

    • Absorb
    • Monitor
    • Optimize Idle clusters, missing auto-termination, oversized nodes, jobs that belong on jobs compute
  • Jobs & pipelines

    Lakeflow Jobs and pipelines (DLT)

    • Absorb
    • Monitor
    • Optimize Cost per run and task, schedules vs. real downstream usage, pipelines nobody reads

Native integration with your entire data stack

Seemore
  • dbt
  • Snowflake
  • Power BI
  • Fivetran
  • Databricks
  • Tableau
  • Looker
  • Astronomer

We have saved enough to actually have almost $100,000 in rollover costs… the Seemore Data capability and insights made a huge difference in being able to reach the end of our contract with that rollover capability.

David Samuels Senior Data Engineering Manager (Snowflake customer)

Latest news

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Demand for compute never holds still. Pipelines kick off at night, dashboards light up in the morning, AI workloads spike without warning, and quiet hours follow every rush. Snowflake handles those swings well. Multi-cluster warehouses add capacity when queries pile up, so work keeps moving. But capacity that's added for a rush doesn't always leave when the rush does. And every minute a cluster runs with nothing to...

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Snowflake Cost Reporting Should Be as Flexible as the Questions We Ask

Everything is changing faster than ever. AI is reshaping how companies build and operate, markets shift in weeks rather than years, and priorities that felt settled last quarter are already being rewritten. Data teams are right in the middle of that change. What they need to know about their data, and what it costs, changes as fast as their goals do. What mattered last quarter may not be what matters now. The teams...

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Snowflake Budgets vs Resource Monitors: Which to Use (2026)

Snowflake budgets and resource monitors both watch credit spend, but they do different jobs. A resource monitor tracks warehouses only and can suspend them when a credit quota is reached. A budget tracks warehouses and serverless features, forecasts the month, and notifies you, with no built-in suspend. Most accounts need both: monitors as the hard stop on warehouses, budgets as the early warning for everything else...

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Snowflake Cost Monitoring: Who Is Spending What, and How to Catch It Early (2026)

Snowflake cost monitoring means knowing, every day, which warehouses, services, teams and queries are using credits, and hearing about a change before it reaches the invoice. Snowflake gives you everything you need to do it: cost screens in Snowsight, usage views in the SNOWFLAKE database, tags for attribution, budgets and resource monitors for limits, and built-in anomaly detection. The catch is that each source has...

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Sizing a Snowflake Warehouse Shouldn’t Be a One-Time Guess

Here’s how warehouse sizing usually actually happens. Someone spins up a new warehouse and runs a few queries. They notice it’s a little slow during the busiest hour of the week, so they bump it up a size to be safe. Maybe two sizes, just in case. That size then becomes “the size” for good. Nobody worked out what the warehouse actually needs most of the time. It was just good enough for the worst hour, once. Often it...

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Snowflake Serverless Costs: 2026 Rates for Every Feature

Snowflake serverless features run on compute that Snowflake manages for you, so they bill separately from your warehouses. Each feature has its own rate: Snowflake charges most per compute-hour at a set multiplier and a few per GB. Snowpipe costs 0.0037 credits per GB loaded, classic Automatic Clustering 2 credits per compute-hour, and serverless tasks 0.9. This guide lists the current rates, explains how they work...

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