Alder is a generative AI-powered data warehouse optimization platform that focuses on cost management and performance optimization for data warehouses like Snowflake, Greenplum, and PostgreSQL.
Features
Query Optimization
Automatically analyzes and optimizes queries through intelligent rewriting to enhance execution efficiency and improve query readability.
Query Plan Optimization
Visualizes query plans to analyze execution costs and identify bottlenecks, providing key insights and adjustment suggestions.
Fine-grained Observability
Offers multidimensional visualization of cost structures, providing insights down to individual queries.
Intelligent Optimization
Uses pre-trained models with historical data to predict optimal warehouse settings and minimize idle resource waste.
Full Automation
Includes a continuous monitoring agent for real-time detection and implementation of optimizations.
Security First
Accesses only query and event metadata without touching user or sensitive data.
AI Query Optimization
Automatically optimizes SQL queries using AI and agent-based strategies to enhance performance.
MiniRepro File Upload
Allows users to upload MiniRepro files or use predefined examples to analyze query performance.
Execution Plan Comparison
Visual comparison of original and optimized query execution plans with detailed statistics.
Optimization Reports
Generates detailed reports summarizing optimization changes and expected performance improvements.
Query Diff View
Side-by-side comparison of original and optimized queries with a detailed diff view.
Plan Input
Allows users to enter their SQL plan in JSON or text format for diagnosis.
SQL Statement Input
Optionally enter an SQL statement to assist with more accurate diagnosis.
File Upload
Users can upload plan and query files for continued support.
Optimization Process
Processes user input and provides diagnosis on query performance.
SQL Upload
Allows users to upload their SQL code as a file or input it in a text area for optimization.
Content Review
Displays the minirepro content for users to review after they input their SQL code.
DB Type Selection
Provides options for users to select the database type and version relevant to their SQL.
Database Query Optimization
This feature automatically analyzes and optimizes your database queries to enhance performance and reduce the time spent on manual optimization, leading to improved overall efficiency.
Slow Query Optimization
Analyzes execution plans to identify performance bottlenecks and applies tuning strategies for SQL queries.
Automated Solutions
Offers a fully automated solution that simplifies the process of query optimization.
Data Warehouse Cost Reduction
Reduces costs associated with data warehousing by optimizing data storage and processing.
Performance Engineering Automation
Automates the process of performance engineering to enhance system efficiency without manual intervention.
Insight Automation
Empowers teams with automated insights through pattern discovery and forecasting capabilities.
Autonomous Query Tuning
Adjusts and optimizes queries automatically for better performance, eliminating the need for manual optimization.
Agent-Powered Analysis
Utilizes AI agents for in-depth data analysis, allowing teams to extract valuable insights seamlessly.