DeepSQL vs Nano

DeepSQL is a fully context-aware database agent: it monitors workloads, optimizes slow queries, and ships BI dashboards for Postgres and MySQL.

An AI-native security and observability platform for cloud, local, hybrid, and air-gapped teams. Sub-second search, detection engineering, OpenTelemetry, pivt AI, and...

About DeepSQL

DeepSQL is a fully context-aware database agent: it monitors workloads, optimizes slow queries, and ships BI dashboards for Postgres and MySQL. DBA prompt " what are the top 3 index recommendations? DeepSQL Agent loads your business context, resolves schema, drafts and validates SQL, then executes on a read replica, with every step you can inspect. Every query, dashboard, and recommendation uses the same governed definitions. Clone the open source repo and run the installer on any Linux box, EC2, or container in your VPC.

About Nano

An AI-native security and observability platform for cloud, local, hybrid, and air-gapped teams. Sub-second search, detection engineering, OpenTelemetry, pivt AI, and deployment control in one place. Run nano in the cloud, locally, hybrid, or air-gapped. nano was built from scratch, not refactored: a dedicated cluster, one query language over your security and OpenTelemetry data, agentic investigation, and deployment options from cloud to air-gapped. So when a service slows down, "is this an outage or a breach?" is one query, not two tools and a guess.