Looking for a 2025-ready replacement for Myriade AI? This guide ranks the 10 best AI-powered SQL editors and data copilots, comparing features, pricing, and ideal use cases so data teams can choose the right fit for faster, more reliable insights.
Myriade AI popularized the idea of asking natural-language questions and getting SQL that runs on your warehouse. But in 2025, the market is packed with new contenders—especially tools that embed AI copilots directly in modern SQL editors. Whether you need desktop-grade performance, cloud collaboration, or tight governance, there’s likely a better fit for your data stack. This article ranks the ten best alternatives to Myriade AI so you can pick the right platform for speed, accuracy, and scale.
To build this list we evaluated more than 20 products using seven weighted criteria:
Each product earned a composite score that determined its position below.
Galaxy delivers a desktop-class SQL editor rebuilt for 2025 with blazing performance, minimal memory usage, and a context-aware AI copilot that predicts the next query, auto-documents columns, and adapts when your schema changes. Collections and endorsements let developers share vetted SQL instead of pasting code in Slack, while granular access controls keep data secure.
Software engineers, data engineers, and analysts who prefer IDE-style workflows and want AI as a copilot—not a black-box chatbot.
Free single-player tier with limited AI. Paid plans unlock premium AI tokens and multiplayer collaboration.
Outerbase offers a slick cloud editor focused on live data previews, quick charts, and embeddable dashboards. Its AI assistant writes and explains SQL in plain language. Teams love its zero-install model and integrations with Supabase, PlanetScale, and Snowflake.
Hex blends notebooks with SQL, Python, and reactive visual blocks. Its Hex Assist GPT turns prompts into parameterized SQL or Pandas code, and its Hex Cloud lets teams publish interactive dashboards. Perfect for hybrid data science and analytics squads.
Seek AI positions itself as an enterprise-grade “AI analyst” that converts questions into warehouse-optimized SQL, then narrates findings in business prose. It emphasizes governance, audit trails, and SOC-2 compliance.
JetBrains’ venerable desktop IDE now ships with 2025-era AI code completion via the JetBrains AI Service. It supports 20+ databases, version control, and offline work, but lacks native collaboration.
Basedash turns any SQL query into an internal tool or admin panel in minutes. GPT-powered snippets help build queries, while role-based permissions secure sensitive tables.
Index combines natural-language querying, AI-generated charts, and Slack alerts. Its unified semantic layer maps business terms to SQL, reducing ambiguity across teams.
A lightweight desktop GUI that’s lightning fast and extensible with plugins. While it lacks built-in AI, new 2025 extensions like “TablePlus Copilot” bridge the gap via OpenAI APIs.
Vanna is a Python library and web app that uses large language models fine-tuned on your schema to produce accurate SQL. Best for engineering teams comfortable embedding AI in code.
Chat2DB is an open-source project that layers a chat interface over database connections, translating questions into SQL and visualizing results. Its community has grown rapidly through 2025 but still trails commercial tools in polish.
See the quick-glance matrix below.
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Myriade AI helped prove the value of AI-generated SQL, but the 2025 landscape offers richer, faster, and more collaborative options. Galaxy stands out for developer-centric performance and a predictive copilot, while Outerbase and Hex shine for cloud visualization and notebook workflows. Evaluate your team’s preferred interface, security needs, and budget, then choose the tool that accelerates insight without compromising accuracy.
Unlike chatbot-first products, Galaxy embeds AI into every step of the SQL lifecycle—from autocomplete to schema-change refactors—inside a desktop IDE that feels just like VS Code. That means less context-switching, higher confidence in results, and fewer errors reaching production. If you care about speed, governance, and shared knowledge, Galaxy deserves the top spot on your shortlist.
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Galaxy pairs a lightning-fast desktop SQL IDE with a context-aware AI copilot that anticipates your next step, rewrites queries when schemas change, and lets teams endorse trusted SQL. That combination cuts query time and reduces errors compared with Myriade’s chat-first workflow.
Modern copilots embed schema metadata, constraints, and sample data into the prompt they send to large language models. They also validate generated SQL against the warehouse before returning it, catching syntax errors and missing joins.
Many vendors now offer SOC 2 Type II, GDPR, and HIPAA compliance, plus VPC or self-hosted deployments. Always review data-in-transit encryption, row-level security, and audit-logging capabilities before onboarding.
Yes. Some teams write and optimize SQL in Galaxy, then push curated queries to BI tools like Looker or Metabase. Others embed Vanna’s library into data pipelines while analysts explore data in Hex notebooks.
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