QueryGlow vs VaultSQL: Which is Better in 2026?
A comprehensive comparison of QueryGlow and VaultSQL covering features, pricing, use cases, and which tool is the right choice for your needs.
⚡ Quick Verdict
Choose QueryGlow if:
- →You want more affordable paid plans (from $79/mo)
- →You need runs on your own server, accessible from any browser or device or ai writes sql from plain english using only your schema, never your rows
Choose VaultSQL if:
- →You want a free tier to get started without commitment
- →You need vault mode encrypts credentials on-device; the service never holds decryption keys or full browser sql workbench with row editing, filtering and foreign-key preview
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QueryGlow vs VaultSQL: At a Glance
Pricing Comparison: QueryGlow vs VaultSQL
Understanding the pricing differences between QueryGlow and VaultSQL is crucial for making the right choice. Here's how their plans compare side by side.
💡 Pricing takeaway: VaultSQL has an edge with a free tier, letting you start without commitment. Compare the specific plans to find the best value for your use case.
Feature-by-Feature Comparison
Here's how every feature from QueryGlow and VaultSQL stacks up.
What Makes Each Tool Unique
🔵 Unique to QueryGlow
Features available in QueryGlow but not in VaultSQL:
- ✓Runs on your own server, accessible from any browser or device
- ✓AI writes SQL from plain English using only your schema, never your rows
- ✓Postgres, MySQL, MariaDB, SQLite, CockroachDB and TimescaleDB support
- ✓Blocks accidental DROPs and mass deletes
- ✓Agent access via scoped MCP tokens, read-only by default
- ✓$79 once with zero telemetry and no vendor cloud in the data path
🟣 Unique to VaultSQL
Features available in VaultSQL but not in QueryGlow:
- ✓Vault Mode encrypts credentials on-device; the service never holds decryption keys
- ✓Full browser SQL workbench with row editing, filtering and foreign-key preview
- ✓Temporary access requests with expiry and one-click revocation
- ✓Audit logs of queries, connections and access changes, exportable for compliance
- ✓Open-source core with hosted and self-hosted deployment
- ✓Workspace-level controls for team access management
Use Case Recommendations
Best for: QueryGlow
QueryGlow is a self-hosted database GUI for PostgreSQL and MySQL that you run on your own server and open in any browser, which is the whole argument against the two alternatives it targets: desktop clients tied to one machine and cloud consoles that route your data through a vendor. It also has an AI query assistant with a specific boundary — the model sees your schema and writes SQL from plain English, but never sees the rows themselves, which is the distinction that makes it usable under a GDPR review where a general-purpose AI SQL tool would not be. Beyond Postgres and MySQL it works with MariaDB, SQLite, CockroachDB and TimescaleDB. Safety rails block accidental DROPs and mass deletes, and there is agent-ready access through scoped MCP tokens that are read-only by default, so a coding agent can query the database without write authority. The pricing is the other distinguishing feature: $79 once, forever, with no per-seat fees and no renewals, for unlimited team members. The site makes the comparison explicit against DBeaver Lite at $113/yr, DataGrip at $109/yr and Navicat Premium at $799.99/yr, and publishes head-to-head pages against pgAdmin, pgweb, DBeaver, DataGrip, HeidiSQL, TablePlus, Navicat, MySQL Workbench, Beekeeper Studio, Supabase Studio, Prisma Studio and Drizzle Studio. There is a live demo with no signup, and deployment guides for self-hosted and Docker setups.
Ideal use cases:
- •Teams or individuals who need runs on your own server, accessible from any browser or device
- •Teams or individuals who need ai writes sql from plain english using only your schema, never your rows
- •Teams or individuals who need postgres, mysql, mariadb, sqlite, cockroachdb and timescaledb support
- •Teams or individuals who need blocks accidental drops and mass deletes
- •Anyone focused on postgresql workflows
- •Anyone focused on mysql workflows
Best for: VaultSQL
VaultSQL is an open-source, zero-trust SQL workbench built to end the practice of passing production database passwords around a team in a password manager or a Slack thread. It runs in the browser as a full workbench — browse data, filter results, update rows inline, preview foreign-key relationships and export — but the credential handling is the actual product. In Vault Mode, connection credentials are encrypted on the user's own device before they ever reach VaultSQL's servers, and the service never holds the decryption keys, so the hosted version cannot read the databases it connects you to. On top of that sit two workflow features that matter more in practice than the encryption does: access requests, which grant temporary, expiring database access to an on-call engineer or a contractor and revoke it in one click without anyone learning a password; and audit logs that record queries, connections and access changes, filterable by user, database or time range and exportable for a compliance review. The deployment story is the unusual part commercially. The core is open source and there are two options, both free: a managed hosted workspace run by the VaultSQL team with automatic updates, or a self-hosted deployment in your own cloud or on-prem environment for teams with infrastructure requirements that rule out a third-party service. No paid tier is currently published for either path.
Ideal use cases:
- •Teams or individuals who need vault mode encrypts credentials on-device; the service never holds decryption keys
- •Teams or individuals who need full browser sql workbench with row editing, filtering and foreign-key preview
- •Teams or individuals who need temporary access requests with expiry and one-click revocation
- •Teams or individuals who need audit logs of queries, connections and access changes, exportable for compliance
- •Anyone focused on sql workflows
- •Anyone focused on database workflows
📊 Other Data & Analytics Tools to Consider
QueryGlow and VaultSQL 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 QueryGlow better than VaultSQL?
It depends on your needs. QueryGlow offers 6 key features including Runs on your own server, accessible from any browser or device and AI writes SQL from plain English using only your schema, never your rows, while VaultSQL provides 6 features including Vault Mode encrypts credentials on-device; the service never holds decryption keys and Full browser SQL workbench with row editing, filtering and foreign-key preview. QueryGlow uses a paid model, while VaultSQL is free with free access available. Choose based on which features and pricing model align with your requirements.
Is QueryGlow cheaper than VaultSQL?
VaultSQL doesn't have standard paid plans, while QueryGlow starts at $79/month. VaultSQL offers a free tier, making it easier to get started. Always check the official websites for the most current pricing.
Can I use QueryGlow and VaultSQL together?
Yes, many users combine QueryGlow and VaultSQL in their workflow. QueryGlow excels at runs on your own server, accessible from any browser or device, while VaultSQL shines with vault mode encrypts credentials on-device; the service never holds decryption keys. 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 QueryGlow and VaultSQL?
While both are data & analytics tools, QueryGlow emphasizes runs on your own server, accessible from any browser or device, whereas VaultSQL is known for vault mode encrypts credentials on-device; the service never holds decryption keys. The best choice depends on your specific workflow and feature priorities.
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