10 Best Snowflake Monitoring Tools (Updated 2026)

Snowflake is a cloud data platform designed for large-scale analytics, data warehousing, and data processing.

It allows teams across an organization to run multiple data workloads on a single platform without managing infrastructure.

Snowflake’s architecture is also unique. Compute and storage are completely independent and highly elastic.

However, Snowflake’s per-second pricing and elastic compute model make costs highly sensitive to usage. Without active monitoring, small configuration changes, long-running queries, or idle warehouses can quickly lead to unexpected Snowflake spend — the same visibility gap that affects cloud cost management tools broadly.

Why Monitor Snowflake Usage?

Snowflake usage monitoring is about more than reducing costs. Effective snowflake cost monitoring gives teams the visibility to control spend before it escalates. It can also enable your organization to discover who, what, when, why, and how you use specific databases, tables, metadata, and other data workloads.

Such visibility can help you understand how your company uses Snowflake and where you can make improvements for optimal Snowflake ROI.

Keeping track of Snowflake data is also a powerful Snowflake best practice that can yield practical benefits. 

The following are some of the benefits of monitoring Snowflake usage:

The native Snowflake Resource Monitors are a convenient way to monitor platform usage, especially if you do not have a large amount of data or the budget to use a more robust monitoring tool.

However, as your business scales, you may need a more precise solution — one built for Snowflake cost management across teams, workloads, and organizational decision-making.

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What Are The Top 10 Best Snowflake Monitoring Tools Right Now?

The following Snowflake performance monitoring platforms can provide more detailed, actionable insights — particularly at scale, where native tools fall short.

1. CloudZero

CloudZero is the first platform to combine AWS and Snowflake data into detailed cloud cost information — giving teams visibility across application monitoring tools and cloud infrastructure in one place.

CloudZero’s cloud cost intelligence platform offers engineers, financial analysts, and executives an end-to-end cost monitoring platform that tells them who, what, where, how, and why their Snowflake costs are changing — without manual tagging.

For example, engineers can use CloudZero to map Snowflake usage and cost data to specific architectural decisions. That means engineers can trace usage and cost to the specific development teams, tenants, projects, and product features that produced them.

Using that information, they can determine which trade-offs to make to reduce Snowflake costs without sacrificing performance.

CloudZero accomplishes this by gathering data from multiple sources, enriching it, and presenting it in a contextual, digestible format for the specific user querying the data.

With CloudZero, you won’t have to worry about going over your Snowflake budget either. You’ll receive real-time alerts about trending costs via email or Slack when the platform detects cost anomalies.

See CloudZero’s Snowflake Cost Intelligence in action here.

2. Sigma Analytics

Sigma is best for business teams that want fast, no-SQL dashboards to analyze Snowflake usage, adoption, and high-level costs.

Sigma connects directly to Snowflake and provides prebuilt dashboards for warehouse usage, query performance, user activity, and credit consumption. It surfaces storage costs by database and compute spend by warehouse without requiring custom SQL or manual data modeling.

Sigma also focuses on analytics and reporting rather than cost attribution or enforcement. It is most useful for understanding how Snowflake is being used, not for controlling or allocating Snowflake spend across teams or products.

3. Tableau

With Tableau and Snowflake, you can visualize, monitor, and track your Snowflake usage and account costs throughout the day. Tableau’s rich visualizations include several pre-built dashboards to help you answer questions such as:

With Snowflake’s Quick Start feature, users can connect automatically to the service, and the OAuth support makes authentication a snap.

Tableau’s platform includes three pricing tiers, ranging from $12 per user per month for visualizing and interacting with dashboards to $35 per user per month for self-service analytics to $70 per user per month for an end-to-end analytics workflow.

4. Metabase

Metabase is a free, open-source business intelligence platform that you can use to visualize and analyze your Snowflake data. It is also ideal for working with a single SQL data source.

You’d also have to handle app updates since it is self-hosted. This is probably a small price to pay for deploying it on your own server or running the on-premises version locally. You can still track a lot of insights, such as:

Ultimately, the tool is lightweight and easy to use.

5. Looker

Looker is best for organizations that want governed, enterprise-grade analytics on top of Snowflake.

Looker models Snowflake data using a semantic layer, allowing teams to analyze query performance, usage patterns, and database behavior consistently across the organization. It helps identify inefficient queries, expensive joins, and performance bottlenecks.

6. Qlik

Qlik is best for enterprises that need end-to-end data ingestion, integration, and analytics alongside Snowflake.

Qlik Replicate and Compose support real-time data ingestion and warehouse lifecycle management. Qlik Sense provides analytics on Snowflake-hosted data. Together, they enable monitoring of data movement, usage, and analytics consumption.

Qlik’s strength is data integration rather than Snowflake-specific cost monitoring. It does not replace dedicated tools for tracking Snowflake credit usage or enforcing warehouse limits.

7. Talend

Talend is another open-source data integration solution that integrates seamlessly with Snowflake. Talend promises to deliver complete, clean, and compliant data. Still, one of Talend’s most popular features is its Trust Score, which shows you where your Snowflake data comes from and how it flows through your system.

With that kind of visibility, you can also fix data issues in real-time without writing any code. Talend is also quick, scales with your changing needs, and supports data governance (security, compliance, and quality).

8. Holistics

Holistics is an enterprise business intelligence service that supports Snowflake databases. It lets you centrally organize, inspect, and automate the Snowflake data integration lifecycle. As with the other tools here, Holistics supports a wide range of data infrastructures, data management needs, and business analytics according to teams or business units.

Additionally, Holistics automates your ETL process, stores query results (materialized) in your own SQL database, and can schedule your reports automatically so you are always up to date with the latest information. Furthermore, the platform promises not to store any of your data for security reasons.

9. Datadog

Datadog provides full visibility into Snowflake so you can analyze all your data in one place. If you want, you can use Datadog’s tag-based analysis model to analyze Snowflake usage by role, user, or warehouse.

The tool is handy for analyzing Snowflake costs and usage patterns. For example, you can monitor how you use your Snowflake credits and use Datadog to create an Auto-Suspend function that would prevent your system from consuming more compute credits.

You can also track storage usage and your environment’s performance with Datadog. Datadog integrates with over 450 tools — including cloud monitoring tools and your favorite Snowflake solutions — to streamline your business data analysis.

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10. PowerBI

For companies using Windows 10 and Windows Server, Microsoft Power BI may be an excellent business intelligence tool. Power BI is not just for enterprises. Small teams and even individuals can utilize it locally on a computer.

There are two versions of Power BI: a free one (Power BI Desktop) and two premium ones (Power BI Pro and Power BI Premium). Both versions offer impressive data visualization capabilities, support multiple data sources, and integrate natively with Snowflake. One of PowerBI’s biggest advantages is the ability to view data separately and alongside the rest of your infrastructure.

Among other features, Power BI provides mobile apps, supports single sign-on and authentication with Azure Virtual Desktop (AVD), and pulls data directly from your Snowflake data warehouse.

Get Detailed AWS And Snowflake Usage And Cost Insights In One Platform

If you build your product on AWS and Snowflake, measuring your usage and costs on a single platform does not reveal your true cost of goods sold (COGS). Doing so blindsides you from realizing the complete cost of building and running your software.

Then, once you are running, you would not understand the true cost of supporting your customers, product features, and specific projects or teams. So, you would not know what trade-offs to make to reduce COGS and increase your margin.

You can now combine AWS and Snowflake cost insights in CloudZero. After that, you can zoom in and out of Snowflake and AWS costs to identify where you can reduce costs and increase profits. Schedule a demo today to see CloudZero’s Snowflake Cost Intelligence in action.

FAQs About Snowflake Monitoring

Author: Lyne Carolyne

Lyne Carolyne has several years of experience in FinOps and cloud economics and brings that understanding into the content she creates. Outside work, she's an avid explorer.