Alder uses LLM-powered Agents to automatically optimize complex data warehouse queries. It builds a virtual runtime, finds bottlenecks, rewrites queries, evaluates improvements, and delivers the best plan—cutting manual tuning costs to zero.
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Maker
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⋆✦* We’re live! Autonomous query performance optimization — powered by AI Agents.
👋 Hey Product Hunt! We’re the team behind Alder, and we’re thrilled to launch a new kind of performance tuning platform — one built specifically for complex data warehouse workloads, and powered entirely by LLM Agents.
⋆✦* With Alder, you get: ✅ Fully autonomous query optimization—no manual tuning required ✅ AI Agent–built runtime simulates real query execution ✅ Bottleneck detection and root cause analysis ✅ Smart query rewrites, execution plan tuning, and DDL suggestions ✅ All optimization strategies are evaluated in simulation, ensuring semantic correctness and performance gains ✅ Secure and privacy-preserving—no need to access your data ✅ Available as a SaaS or private deployment
⋆✦* Why we built Alder: Tuning data warehouse queries is high-stakes, high-cost, and often left to a few experts. In large-scale warehouses like Snowflake, PostgreSQL, or Greenplum, even small inefficiencies can lead to massive costs. Yet, the tuning process remains manual, slow, and brittle.
We built Alder to fully automate this process using multi-agent systems and LLMs — combining expert-level decision-making with scalable automation. Our goal: cut query tuning cost to near-zero, and make performance engineering accessible to every team.
🎉 This is our early preview release, and your feedback means everything to us!
We’re actively refining Alder and would love to hear your thoughts, ideas, and suggestions. Try it out at http://www.alderintelligence.com/, and let us know what features, improvements, or crazy ideas you’d like to see next!
We’ll be hanging out here all day—ask us anything about AI, databases, and performance tuning!
I’m really impressed with the UI design, especially how it showcases the query plans before and after optimization. What excites me the most, though, is the automated agent. I can’t wait for it to be available for direct use on the website.
The optimized query shows a high improvement ratio while ensuring correctness and equivalence. The analysis and visualization features are also great - the overall experience is excellent, and I'll definitely use it more often
Huge cut for our cloud costs! AI-powered automated query rewrites optimized slow queries. The one-click optimisation and execution saved hours of manual tuning.
A must-have for DevOps teams scaling cloud databases.
⋆✦* We’re live! Autonomous query performance optimization — powered by AI Agents.
👋 Hey Product Hunt! We’re the team behind Alder, and we’re thrilled to launch a new kind of performance tuning platform — one built specifically for complex data warehouse workloads, and powered entirely by LLM Agents.
⋆✦* With Alder, you get:
✅ Fully autonomous query optimization—no manual tuning required
✅ AI Agent–built runtime simulates real query execution
✅ Bottleneck detection and root cause analysis
✅ Smart query rewrites, execution plan tuning, and DDL suggestions
✅ All optimization strategies are evaluated in simulation, ensuring semantic correctness and performance gains
✅ Secure and privacy-preserving—no need to access your data
✅ Available as a SaaS or private deployment
⋆✦* Why we built Alder:
Tuning data warehouse queries is high-stakes, high-cost, and often left to a few experts. In large-scale warehouses like Snowflake, PostgreSQL, or Greenplum, even small inefficiencies can lead to massive costs. Yet, the tuning process remains manual, slow, and brittle.
We built Alder to fully automate this process using multi-agent systems and LLMs — combining expert-level decision-making with scalable automation. Our goal: cut query tuning cost to near-zero, and make performance engineering accessible to every team.
🎉 This is our early preview release, and your feedback means everything to us!
We’re actively refining Alder and would love to hear your thoughts, ideas, and suggestions. Try it out at http://www.alderintelligence.com/, and let us know what features, improvements, or crazy ideas you’d like to see next!
We’ll be hanging out here all day—ask us anything about AI, databases, and performance tuning!
Cheers from the Alder team! 🙌