LILA vs Raw Query: Which is Better in 2026?
A comprehensive comparison of LILA and Raw Query covering features, pricing, use cases, and which tool is the right choice for your needs.
⚡ Quick Verdict
Choose LILA if:
- →You want more affordable paid plans (from $35/mo)
- →You need a broader feature set (6 features vs 5)
- →You need read-only direct connection to postgresql and mysql or queries in 25 languages producing the same sql
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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LILA vs Raw Query: At a Glance
Pricing Comparison: LILA vs Raw Query
Understanding the pricing differences between LILA and Raw Query is crucial for making the right choice. Here's how their plans compare side by side.
LILA Pricing
Raw Query Pricing
💡 Pricing takeaway: Both LILA 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 LILA and Raw Query stacks up.
What Makes Each Tool Unique
🔵 Unique to LILA
Features available in LILA but not in Raw Query:
- ✓Read-only direct connection to PostgreSQL and MySQL
- ✓Queries in 25 languages producing the same SQL
- ✓Embeddable widget with a single tag
- ✓Role-based visibility configured through dropdowns
- ✓Automatic retry on failed queries
- ✓White-label option for agencies
🟣 Unique to Raw Query
Features available in Raw Query but not in LILA:
- ✓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: LILA
LILA is a natural-language layer over a company's own database, so anyone from the CEO to an intern can ask a question in plain language and get an answer without writing SQL or waiting on BI. It connects directly to PostgreSQL or MySQL in read-only mode — which covers WooCommerce, WordPress, Laravel and most custom applications, since the application layer above the database does not matter — and setup is quoted at five minutes: point it at the schema, set who can see what through dropdowns, and paste an embed tag onto your page. Two design decisions stand out. The first is pricing by project rather than by seat: ten people or ten thousand cost the same, which removes the usual reason internal analytics tools stay locked to a handful of licensed analysts. The second is multilingual querying — twenty-five languages generating the same accurate SQL, so a team queries in whichever language it thinks in, which matters for operations teams spread across regions. Failed queries retry automatically rather than surfacing an error message to a non-technical user. A customer testimonial claims the tool runs its own models on dedicated infrastructure rather than calling OpenAI or another external API, which is the compliance argument for putting it in front of production data. Plans are metered on queries per month per project, from a free 50-query tier up to 10,000, with overage available on the top tier at three cents a query and a white-label add-on for agencies.
Ideal use cases:
- •Teams or individuals who need read-only direct connection to postgresql and mysql
- •Teams or individuals who need queries in 25 languages producing the same sql
- •Teams or individuals who need embeddable widget with a single tag
- •Teams or individuals who need role-based visibility configured through dropdowns
- •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
LILA 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 LILA better than Raw Query?
It depends on your needs. LILA offers 6 key features including Read-only direct connection to PostgreSQL and MySQL and Queries in 25 languages producing the same SQL, 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. LILA uses a freemium 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 LILA cheaper than Raw Query?
LILA is cheaper, starting at $35/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 LILA and Raw Query together?
Yes, many users combine LILA and Raw Query in their workflow. LILA excels at read-only direct connection to postgresql and mysql, 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 LILA and Raw Query?
While both are data & analytics tools, LILA emphasizes read-only direct connection to postgresql and mysql, 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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