AI Query vs Raw Query: Which is Better in 2026?
A comprehensive comparison of AI Query and Raw Query covering features, pricing, use cases, and which tool is the right choice for your needs.
⚡ Quick Verdict
Choose AI Query if:
- →You want more affordable paid plans (from $10/mo)
- →You need a broader feature set (6 features vs 5)
- →You need plain-english to sql grounded in your defined schema or sql to english translator for auditing inherited queries
Choose Raw Query if:
- →You need connect by pasting a connection string; no semantic model to build or reads and writes — insert and update rows, not just select
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AI Query vs Raw Query: At a Glance
Pricing Comparison: AI Query vs Raw Query
Understanding the pricing differences between AI Query and Raw Query is crucial for making the right choice. Here's how their plans compare side by side.
Raw Query Pricing
💡 Pricing takeaway: Both AI Query and Raw Query offer free tiers, making it easy to try before you buy. Compare the specific plans to find the best value for your use case.
Feature-by-Feature Comparison
Here's how every feature from AI Query and Raw Query stacks up.
What Makes Each Tool Unique
🔵 Unique to AI Query
Features available in AI Query but not in Raw Query:
- ✓Plain-English to SQL grounded in your defined schema
- ✓SQL to English translator for auditing inherited queries
- ✓Dashboard for defining tables and relationships
- ✓Saved, shareable queries with full history
- ✓Multiple database engines supported, more listed as planned
- ✓Documented API for embedding generation elsewhere
🟣 Unique to Raw Query
Features available in Raw Query but not in AI Query:
- ✓Connect by pasting a connection string; no semantic model to build
- ✓Reads and writes — insert and update rows, not just SELECT
- ✓CSV export of any result
- ✓Free tier of 300 queries a month against 2 databases, not a trial
- ✓Per-database role access on the top tier
Use Case Recommendations
Best for: AI Query
AI Query generates SQL from plain-English prompts and explains existing SQL back in plain English, aimed at the large population of analysts, founders and product people who need a query result but do not write SQL fluently. The part that makes the output usable rather than plausible is schema awareness: you define your database tables through a dashboard interface first, so generated queries reference real table and column names and join on real keys instead of inventing a schema that looks right. A reverse mode — SQL to English — takes a query someone else wrote and describes what it actually does, which is useful for auditing an inherited dashboard or a long analytics query nobody remembers the intent of. Generated queries can be saved, shared and revisited through a query history, so a team accumulates a reusable library rather than regenerating the same aggregation weekly. Multiple database engines are supported today with further engines listed as planned, and an API is documented for embedding generation elsewhere. Pricing is a single unlimited Pro plan rather than a credit meter, which suits people who want to stop thinking about per-query cost. There is a public Slack community and a companion product, Mikie.AI, from the same team.
Ideal use cases:
- •Teams or individuals who need plain-english to sql grounded in your defined schema
- •Teams or individuals who need sql to english translator for auditing inherited queries
- •Teams or individuals who need dashboard for defining tables and relationships
- •Teams or individuals who need saved, shareable queries with full history
- •Anyone focused on sql workflows
- •Anyone focused on database workflows
Best for: Raw Query
Raw Query lets a team chat with its production database in plain English, and its setup story is the shortest in the category: paste a connection string and start, roughly ten seconds, with no dashboard modelling layer to build first. It handles reads — who signed up last, the emails of the last five Pro customers, an export of that result to CSV — and it also handles writes, inserting a new record or updating a client's email address, which most natural-language-to-SQL tools deliberately refuse to do. The pitch is aimed at two groups from opposite directions. For developers, it removes the endless queue of tiny internal tools each built to answer one recurring question, none of which is worth maintaining. For business-intelligence and operations people, it removes the obligation to learn SQL or to keep track of a sprawl of internal-tool links: the database learns your language instead. The tier ladder is priced on successful queries per month plus seats and connected databases, and the free tier is real rather than a trial — 300 successful queries a month against two databases, indefinitely. Higher tiers add unlimited databases, priority support and, at the top, per-database role access, so a team can expose a read-only view of production to operations while leaving write access to a smaller group. The vendor answers the obvious objections directly in its FAQ, including what natural language means in practice and whether a subscription can be cancelled at any time.
Ideal use cases:
- •Teams or individuals who need connect by pasting a connection string; no semantic model to build
- •Teams or individuals who need reads and writes — insert and update rows, not just select
- •Teams or individuals who need csv export of any result
- •Teams or individuals who need free tier of 300 queries a month against 2 databases, not a trial
- •Anyone focused on sql workflows
- •Anyone focused on database workflows
📊 Other Data & Analytics Tools to Consider
AI Query and Raw Query aren't the only options. Here are other popular tools in the same space:
Databricks AI
Enterprise AI and data lakehouse platform
Akkio
No-code predictive AI for business analysts
Hex
Data workspace with AI analysis and apps
MindsDB
AI layer for databases with SQL ML
Obviously AI
No-code ML platform for predictions
Julius AI
Chat with your data for instant analysis
Is one of these your tool?
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Frequently Asked Questions
Is AI Query better than Raw Query?
It depends on your needs. AI Query offers 6 key features including Plain-English to SQL grounded in your defined schema and SQL to English translator for auditing inherited queries, while Raw Query provides 5 features including Connect by pasting a connection string; no semantic model to build and Reads and writes — insert and update rows, not just SELECT. AI Query uses a paid model with a free tier, while Raw Query is freemium with free access available. Choose based on which features and pricing model align with your requirements.
Is AI Query cheaper than Raw Query?
AI Query is cheaper, starting at $10/month compared to Raw Query's $39/month. Both tools offer free tiers, so you can try each before committing. Always check the official websites for the most current pricing.
Can I use AI Query and Raw Query together?
Yes, many users combine AI Query and Raw Query in their workflow. AI Query excels at plain-english to sql grounded in your defined schema, while Raw Query shines with connect by pasting a connection string; no semantic model to build. Using both allows you to leverage the strengths of each tool, though this means managing two subscriptions — though free tiers can help manage costs.
What's the main difference between AI Query and Raw Query?
While both are data & analytics tools, AI Query emphasizes plain-english to sql grounded in your defined schema, whereas Raw Query is known for connect by pasting a connection string; no semantic model to build. The best choice depends on your specific workflow and feature priorities.
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