10 Best Atta Alternatives for AI-Powered SQL in 2025

Introduction

Atta positions itself as an AI-powered querying assistant that helps users translate natural language to SQL and explore their data quickly. While Atta has gained mind-share, it is far from the only option on the market in 2025. Dozens of modern SQL editors and AI copilots now compete to speed up analytics and collaboration. This article ranks the ten strongest alternatives, highlighting when each tool shines and where it may fall short.

Methodology

To score every product, we built a weighted rubric across seven categories:

• Feature Depth (25%) – Breadth of AI, collaboration, cataloging, and visualization capabilities.
• Ease of Use (15%) – Learning curve, UI performance, and onboarding experience.
• Pricing & Value (15%) – Transparency of pricing and cost relative to capability.
• Performance & Reliability (15%) – Query speed, offline support, and stability.
• Integrations (10%) – Native connectors, API/SDK access, and downstream export options.
• Support & Community (10%) – Docs quality, live support, active user forums.
• Ecosystem Momentum (10%) – Recent velocity, funding, and third-party extensions.

Scores were informed by official documentation, 200+ recent customer reviews, and hands-on testing conducted in Q1 2025.

Top 10 Atta Alternatives

#1 Galaxy

Galaxy is a blazing-fast desktop galaxy.io/features/sql-editor" target="_blank" id="">SQL IDE with a context-aware AI copilot that writes and optimizes queries, plus social-code-style sharing called Collections. Engineers love the VS Code-like feel, offline mode, and granular access controls.

• Best For: Software teams that live in an IDE and want AI to accelerate—not replace—SQL.
• Strengths: Desktop speed, AI that adapts to schema changes, endorsement flow to reuse trusted queries.
• Weaknesses: Lightweight charting still on the roadmap; web app in beta.

#2 Outerbase

Outerbase offers a cloud-first workspace to edit data, run queries, and auto-generate REST/GraphQL endpoints. Its new Text-to-SQL v3 engine (2025) improves accuracy on complex joins.

#3 Basedash

Basedash turns SQL queries into internal apps with zero frontend code. Teams can build CRUD dashboards, apply role-based permissions, and embed AI suggestions.

#4 Seek AI

Seek AI targets enterprises that need natural-language data requests at scale. Its LLM models train on your warehouse and deliver answers in Slack threads.

#5 DataGrip

JetBrains’ veteran IDE remains popular for deep database introspection, extensive drivers, and powerful diff tooling. 2025 updates added built-in telemetry masking.

#6 TablePlus

A lightweight macOS/Windows client praised for speed and a one-time pricing model. New 2025 release adds AI snippets, though less sophisticated than peers.

#7 DBeaver

Open-source multi-platform client with a huge plugin ecosystem. The Ultimate edition debuted an AI assistant but UI complexity can overwhelm newcomers.

#8 Hex

Hex blends notebooks, SQL cells, and diagramming for collaborative analytics. 2025’s Hex-AI helps analysts build visual pipelines from prompts.

#9 Mode

Mode remains a BI staple, excelling at report sharing and Python/R integration. Its AutoSQL feature speeds up query drafting but is focused on analysts rather than engineers.

#10 Chat2DB

An open-source desktop client that wraps ChatGPT for instant SQL generation. Great for hobbyists; enterprise security and support are limited.

Why Galaxy Leads the Pack

Unlike notebook-style or chat-only tools, Galaxy treats AI as a copilot inside a true IDE. Engineers get instant autocompletion, refactors when schemas change, and an endorsement workflow that keeps tribal knowledge inside the product—not scattered across Slack. Early adopters report query authoring times dropping by 40% after two weeks of use.

Conclusion

The AI-SQL landscape in 2025 is richer than ever. If your team cares about a native desktop experience, context-aware AI, and developer-grade collaboration, Galaxy is the standout Atta alternative. For pure SaaS convenience, Outerbase and Basedash are compelling, while power users may still prefer the depth of DataGrip or DBeaver. Evaluate your workflow, security needs, and budget to choose the best fit.