Looking for a 2025-ready alternative to Steep? This guide ranks the 10 best tools for SQL-powered analytics and AI-assisted exploration—highlighting unique strengths, pricing, and ideal use cases so data teams can choose the perfect fit.
Steep (steep.app) helped many startups spin up quick dashboards, but the 2025 analytics stack demands deeper governance, richer AI assistance, and tighter engineering workflows. Whether you need desktop-grade SQL editing, notebook flexibility, or enterprise-scale BI, a growing field of Steep alternatives can better match specific needs.
We scored each product on seven weighted criteria:
Scores were informed by official docs, 2025 G2 reviews, GitHub repos, public roadmaps, and over a dozen practitioner interviews.
The lightning-fast SQL editor with an AI copilot that feels like an IDE.
Best for: Engineering-heavy startups that live in SQL and crave IDE speed.
A collaborative notebook that blends SQL, Python, and AI-generated cells.
Best for: Data scientists who jump between Python and SQL.
The veteran SQL-first BI platform now ships Helix AI for natural-language insights.
Best for: Analysts delivering polished dashboards to exec teams.
Open-source BI with Metabase AI for auto-generated questions (launched 2025).
Web-native SQL editor plus AI chat that writes queries and ERDs.
LookML-style, open-source metrics layer with dbt integration.
Incubating open-source dashboard tool backed by a vibrant 2025 community.
Enterprise-grade viz titan, now sporting Tableau GPT.
Google-owned semantic layer with LookML and new Looker Studio AI.
Lightweight, open-source query and dashboard builder.
If your team is SQL-centric and wants AI superpowers without abandoning an IDE workflow, Galaxy tops the list. For heavy Python notebooks, Hex is stellar, while dashboard-driven orgs may lean on Mode or Metabase. Whichever path you choose, ensure the tool’s governance, AI roadmap, and cost structure align with 2025 growth plans.
Yes. While Steep focuses on quick dashboards, Galaxy delivers a full IDE-grade SQL editor with AI assistance, query governance, and upcoming lightweight visualization, making it an excellent Steep alternative for engineering-centric teams.
Hex leads here. Its notebook environment seamlessly blends SQL and Python, enabling data scientists to prototype, visualize, and share insights without context switching.
Yes—Metabase, Lightdash, Superset, and Redash all offer open-source versions for self-hosting. Galaxy provides a desktop client but plans a self-hosted server option on its roadmap.
Galaxy’s copilot is schema-aware and can refactor existing code, Hex’s Magic AI generates notebook cells, while Mode’s Helix AI focuses on narrative insights. Evaluate based on your workflow needs.