Snowflake Query Optimization Workshop
Snowflake Query Optimization Workshop
Bring Your Slowest Snowflake Query & We Will Optimize It Live
Join a live workshop where real Snowflake queries are analyzed, optimized, and simulated for performance and cost improvements.
Join a live workshop where real Snowflake queries are analyzed, optimized, and simulated for performance and cost improvements.
What This Workshop Is About
What This Workshop Is About
Snowflake queries can become expensive and slow as workloads grow.
Many data engineers struggle with identifying inefficient queries, interpreting execution plans, optimizing SQL logic, and predicting performance impact before changes.
Instead of another theoretical webinar, this workshop focuses on real queries submitted by Snowflake engineers.
During the session we will analyze query execution plans, identify performance bottlenecks, rewrite queries for better efficiency, and simulate cost and runtime improvements
All in real time.
Snowflake queries can become expensive and slow as workloads grow.
Many data engineers struggle with identifying inefficient queries, interpreting execution plans, optimizing SQL logic, and predicting performance impact before changes.
Instead of another theoretical webinar, this workshop focuses on real queries submitted by Snowflake engineers.
During the session we will analyze query execution plans, identify performance bottlenecks, rewrite queries for better efficiency, and simulate cost and runtime improvements
All in real time.
Snowflake queries can become expensive and slow as workloads grow.
Many data engineers struggle with identifying inefficient queries, interpreting execution plans, optimizing SQL logic, and predicting performance impact before changes.
Instead of another theoretical webinar, this workshop focuses on real queries submitted by Snowflake engineers.
During the session we will analyze query execution plans, identify performance bottlenecks, rewrite queries for better efficiency, and simulate cost and runtime improvements
All in real time.
Anavsan Query Optimization Workshop
What You’ll Learn
The goal is to help data engineers understand how to systematically optimize queries, not just fix a single one. If you regularly write or optimize Snowflake queries, this session will be useful.
Discover features designed to simplify workflows, boost productivity, and improve team collaboration seamlessly.
Analyze Snowflake query execution profiles
Analyze Snowflake query execution profiles
Identify inefficient joins, scans, and aggregations
Identify inefficient joins, scans, and aggregations
Optimize SQL structure and logic
Optimize SQL structure and logic
Simulate performance and cost improvements before deployment
Simulate performance and cost improvements before deployment
Who Should Attend
Data Engineers
Analytics Engineers
Data Platform Engineers
FinOps teams
Cloud Architects
Anavsan's Key Capabilities
Agentic AI
Agentic AI
Organizational Private Knowledge Graph (PKG)
Organizational Private Knowledge Graph (PKG)
Apply your organization knowledge and industry best practices to find a balance between cost and performance using our proprietary Agentic AI system.
Apply your organization knowledge and industry best practices to find a balance between cost and performance using our proprietary Agentic AI system.
AI Query Engine
Analyze, optimize, and simulate queries with AI to achieve optimization
Cost Efficiency
Get instant recommendations specifically aimed at reducing credit consumption
Performance Gains
Reduce query execution time by turning slow queries into optimized code in seconds
Secure Integration
Securely connect your Snowflake account following step-by-step instructions to begin optimization
Assign Slow Query
Collaborative Governance Platform
Collaborative Governance Platform
Secure Workspace & Query Vaulting
Secure Workspace & Query Vaulting
Assign, track, and vault optimized queries across the organization.
Team Assignments - Assign queries to team members and track progress using priority status updates for streamlined workflows
Team Assignments - Assign queries to team members and track progress using priority status updates for streamlined workflows
Metric Visualization - Build custom dashboards with dynamic widgets to visualize crucial Snowflake metrics
Metric Visualization - Build custom dashboards with dynamic widgets to visualize crucial Snowflake metrics
Optimization History - Browse all analyzed, optimized, and simulated queries and view full analysis results in the Query Library
Optimization History - Browse all analyzed, optimized, and simulated queries and view full analysis results in the Query Library
Code Versioning - Manage saved queries in the Workspace using version control and compare versions side-by-side
Code Versioning - Manage saved queries in the Workspace using version control and compare versions side-by-side
The Anavsan Difference
AI tools like ChatGPT can help generate SQL suggestions, but they lack the operational context required to optimize real Snowflake workloads.
Anavsan goes beyond generic AI assistance.
It builds persistent, organization-specific intelligence from your Snowflake environment — enabling continuous optimization, deeper insights, and scalable managed services.
Discover how Prismo outperforms other platforms with superior features, better performance, and unmatched ease of use.
CHATGPT & OTHER LLMs
Generate SQL suggestions based only on the query text provided.
No access to execution plans, warehouse usage, or query history
Lack context about schema relationships and workload patterns
Provide one-time answers rather than continuous optimization
Knowledge does not persist or improve with your environment
V/S
Uses a Private Knowledge Graph (PKG) built from your Snowflake metadata and query history
Understands query behavior, schema relationships, and workload patterns
Continuously learns from your environment and encodes knowledge into the platform
Enables safe optimization through simulation and historical insights
Turns Snowflake optimization into a scalable managed service capability
LLMs suggest SQL changes but Anavsan analyzes, optimizes, and simulates Snowflake queries using real execution data.
Discover how Prismo outperforms other platforms with superior features, better performance, and unmatched ease of use.
Core Features
Unleash Anavsan to Unlock 50%+ Savings Opportunities across Compute & Savings
Discover Anavsan's powerful and unique tools that set it apart, offering unmatched efficiency, customization, and collaboration.
Agentic Query Optimization System
Continuously Learning Org-level Knowledge Graph
Anavsan uses AI to analyze, optimize, and simulate queries, instantly generating recommendations to reduce execution time and credit consumption thereby providing the optimization intelligence necessary to fix cost problems, going beyond native tools that only tell you what happened. Anavsan focuses on turning expensive, slow queries into optimized, cost-efficient code in seconds.
Snowflake Storage Intelligence
Comprehensive Storage Intelligence and Cost Optimization
Anavsan facilitates storage optimization by highlighting Top Storage-Consuming Databases for prioritizing cleanup and retention efforts, and utilizing the Unused Tables feature to provide complete visibility into idle data assets, detailing metrics like storage size, time travel, retention days, and last accessed timestamp, allowing teams to make decisions that directly reduce storage consumption and reclaim idle credits.
Streamlined FinOps - Data Engineering Collaboration
Query Assignment with Automated User Identification
Anavsan focuses on workflow efficiency, addressing the fact that collaborative workflow is missing in native Snowflake UI. The Query Assignment System allows teams to assign queries to members with priority tracking, status updates, and email/slack notifications for streamlined optimization workflows. This formalizes the necessary workflow for FinOps to flag an issue and for the engineer to review the exact query with context to agree on a fix.
Agentic Query Optimization System
Continuously Learning Org-level Knowledge Graph
Anavsan uses AI to analyze, optimize, and simulate queries, instantly generating recommendations to reduce execution time and credit consumption thereby providing the optimization intelligence necessary to fix cost problems, going beyond native tools that only tell you what happened. Anavsan focuses on turning expensive, slow queries into optimized, cost-efficient code in seconds.
Snowflake Storage Intelligence
Comprehensive Storage Intelligence and Cost Optimization
Anavsan facilitates storage optimization by highlighting Top Storage-Consuming Databases for prioritizing cleanup and retention efforts, and utilizing the Unused Tables feature to provide complete visibility into idle data assets, detailing metrics like storage size, time travel, retention days, and last accessed timestamp, allowing teams to make decisions that directly reduce storage consumption and reclaim idle credits.
Streamlined FinOps - Data Engineering Collaboration
Query Assignment with Automated User Identification
Anavsan focuses on workflow efficiency, addressing the fact that collaborative workflow is missing in native Snowflake UI. The Query Assignment System allows teams to assign queries to members with priority tracking, status updates, and email/slack notifications for streamlined optimization workflows. This formalizes the necessary workflow for FinOps to flag an issue and for the engineer to review the exact query with context to agree on a fix.
Agentic Query Optimization System
Continuously Learning Org-level Knowledge Graph
Anavsan uses AI to analyze, optimize, and simulate queries, instantly generating recommendations to reduce execution time and credit consumption thereby providing the optimization intelligence necessary to fix cost problems, going beyond native tools that only tell you what happened. Anavsan focuses on turning expensive, slow queries into optimized, cost-efficient code in seconds.
Snowflake Storage Intelligence
Comprehensive Storage Intelligence and Cost Optimization
Anavsan facilitates storage optimization by highlighting Top Storage-Consuming Databases for prioritizing cleanup and retention efforts, and utilizing the Unused Tables feature to provide complete visibility into idle data assets, detailing metrics like storage size, time travel, retention days, and last accessed timestamp, allowing teams to make decisions that directly reduce storage consumption and reclaim idle credits.
Streamlined FinOps-Engineering Collaboration
Query Assignment with Automated User Identification
Anavsan focuses on workflow efficiency, addressing the fact that collaborative workflow is missing in native Snowflake UI. The Query Assignment System allows teams to assign queries to members with priority tracking, status updates, and email/slack notifications for streamlined optimization workflows. This formalizes the necessary workflow for FinOps to flag an issue and for the engineer to review the exact query with context to agree on a fix.
"Choosing Anavsan was one of the best decisions we've made. We were able to control our runaway bills from under-sized or over-provisioned warehouses."
FinOps Director, Snowflake Partner
Industry-leading Agentic AI for Snowflake Cost Optimization
How Anavsan will help different Snowflake users
Data Engineers
DataOps
FinOps
CDO/CIO
Snowflake Partners
Code Optimization & Query Vault
Instant Query Analysis & Optimization
Anavsan acts as your AI co-pilot that instantly turns expensive, slow queries into optimized, cost-efficient code in seconds. Engineers can analyze and optimize queries with AI to get instant recommendations to reduce execution time and credit consumption
Guardrails & Version Control
Introduce crucial engineering guardrails using the Credit Simulator to prevent runaway workloads and prove savings before teams change production queries. The Query Workspace helps manage saved queries, offering version control and the ability to track evolution and compare versions side-by-side
Data Engineers
DataOps
FinOps
CDO/CIO
Snowflake Partners
Code Optimization & Query Vault
Instant Query Analysis & Optimization
Anavsan acts as your AI co-pilot that instantly turns expensive, slow queries into optimized, cost-efficient code in seconds. Engineers can analyze and optimize queries with AI to get instant recommendations to reduce execution time and credit consumption
Guardrails & Version Control
Introduce crucial engineering guardrails using the Credit Simulator to prevent runaway workloads and prove savings before teams change production queries. The Query Workspace helps manage saved queries, offering version control and the ability to track evolution and compare versions side-by-side
Data Engineers
DataOps
FinOps
CDO/CIO
Snowflake Partners
Code Optimization & Query Vault
Instant Query Analysis & Optimization
Anavsan acts as your AI co-pilot that instantly turns expensive, slow queries into optimized, cost-efficient code in seconds. Engineers can analyze and optimize queries with AI to get instant recommendations to reduce execution time and credit consumption
Guardrails & Version Control
Introduce crucial engineering guardrails using the Credit Simulator to prevent runaway workloads and prove savings before teams change production queries. The Query Workspace helps manage saved queries, offering version control and the ability to track evolution and compare versions side-by-side
Contact
Ready to transform your Snowflake practice?
Ready to transform your Snowflake practice?
You can submit your query now or bring it live to the workshop.
You can submit your query now or bring it live to the workshop.
arunkumar@anavsan.com
FAQs
Frequently Asked Questions
What is the primary function of Anavsan and its AI capability?
Does Anavsan take an organization's proprietary data?
What measurable financial impact can we expect from using Anavsan?
How does Anavsan help prevent new runaway workloads and future unnecessary costs?
How does Anavsan support workflow and collaboration between FinOps and engineers?
Can Anavsan consolidate monitoring across multiple Snowflake accounts?
How does Anavsan help data engineers manage and track query changes?
Does Anavsan only report on cost or does it suggest fixes for root causes?
How do we get started and connect our Snowflake account to Anavsan?
What does the Anavsan Snowflake Native App provide?
How does Anavsan support Snowflake Professional Services partners?
Does Anavsan offer OEM or white-label options for partners?
What is the primary function of Anavsan and its AI capability?
Does Anavsan take an organization's proprietary data?
What measurable financial impact can we expect from using Anavsan?
How does Anavsan help prevent new runaway workloads and future unnecessary costs?
How does Anavsan support workflow and collaboration between FinOps and engineers?
Can Anavsan consolidate monitoring across multiple Snowflake accounts?
How does Anavsan help data engineers manage and track query changes?
Does Anavsan only report on cost or does it suggest fixes for root causes?
How do we get started and connect our Snowflake account to Anavsan?
What does the Anavsan Snowflake Native App provide?
How does Anavsan support Snowflake Professional Services partners?
Does Anavsan offer OEM or white-label options for partners?
Have Questions? We're Here to Help!
Have Questions? We're Here to Help!
Reach out to our support team for any queries or assistance.
Reach out to our support team for any queries or assistance.