Kloudgen Inc. introduces InstaQuery, an AI-driven platform designed to optimize SQL queries across multiple platforms, including Snowflake. By leveraging over 50 intelligent agents and a specialized multi-agent framework, InstaQuery rewrites and optimizes queries with high accuracy, aiming to deliver up to 70% cost savings and a 500% boost in productivity

Key Features of InstaQuery

• Automated Query Optimization: InstaQuery automatically detects costly or slow-running queries, optimizing performance and reducing compute waste.
• Comprehensive Inefficiency Analysis: It analyzes over 100 inefficiencies in seconds, achieving 100% accuracy on 1,200 TPC queries in just 40 minutes.
• Multi-Platform Support: Supports 18 different SQL dialects, including Snowflake, ensuring broad applicability across various data environments.
• Flexible Integration Options: Available as a Web App, REST API, or native Snowflake app, allowing seamless integration into existing workflows.

InstaQuery API: Seamless Integration for Developers

For developers and data engineers, the InstaQuery API offers a robust solution to integrate performance tuning directly into data pipelines. Key benefits include:

• Automated SQL Query Optimization: Automates the optimization process for Snowflake and 18 other dialects, delivering results in clean, platform-agnostic JSON.
• CI/CD and Workflow Integration: Easily integrates with CI/CD and data workflows, enhancing efficiency and reducing manual intervention.
• Performance Enhancement: Speeds up execution, reduces compute usage, and boosts throughput, contributing to overall system performance.

Addressing Snowflake Inefficiencies

InstaQuery targets three main categories of inefficiencies in Snowflake environments:

1. Static Inefficiencies: Issues stemming from poor query or schema design, such as inefficient joins, inappropriate data types, and missing clustering keys.
2. Dynamic Inefficiencies: Runtime challenges due to load, concurrency, and execution plans.
3. Environmental Inefficiencies: Problems arising from misconfigured warehouses, scaling issues, or excess temporary storage use.

By addressing these inefficiencies, InstaQuery enhances cost reduction and performance gains in Snowflake workloads.

Benefits of Using InstaQuery

• Scalable Optimization: Processes thousands of queries per hour through API integration, ideal for enterprise-scale Snowflake optimization initiatives.
• Developer Productivity: Integrates into the software development lifecycle (SDLC), enabling teams to deploy performance-optimized queries from the outset.
• Automated Administration: Automates routine administration and support tasks, allowing teams to reallocate up to 40% of engineering hours to high-value initiatives.
• Accelerated Cloud Migrations: Speeds up migration to Snowflake by ensuring only optimized workloads are deployed, reducing tuning overhead by over 60%.
• Cost and Performance Optimization: Identifies and resolves over 100 query inefficiencies, leading to up to 70% cost savings and a 300% performance boost across Snowflake workloads

For more information or to see InstaQuery in action, visit kloudgen.com or instaquery.ai.