FluentDB vs Propane: Features, Pricing & Which Is Better (2026)

A side-by-side comparison of FluentDB and Propane — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.

FluentDB

Freemium

Native macOS database client with an AI co-pilot for PostgreSQL, MySQL, SQLite, and SQL Server — bring your own model.

AI Co-pilot with Guardrails: Ask questions in plain English and get trusted SQL, with safety checks that prevent destructive operations and data leakage.
Bring Your Own Model: Point FluentDB at Anthropic (Claude Code), OpenAI (Codex), or a local Ollama model — prompts go direct to your provider, never through FluentDB.
Schema-Aware SQL Editor: Full 2026-era editor with autocomplete, formatting, and instant results, and a one-click switch into AI mode.
Fluid 100K+ Row Grid: A fast data table that scrolls thousands of rows smoothly without stutter, built for large datasets.
Instant Chart Visualization: Turn any query result into a chart without leaving the app.
MCP Integration: Connect any MCP-compatible AI agent to manage FluentDB connections on your behalf.
Multi-Database Support: Connect to PostgreSQL, MySQL, SQLite, and SQL Server today, with MongoDB, Redis, ClickHouse, Snowflake, BigQuery, and DuckDB in the pipeline.
Command Palette Browsing: Hit ⌘P to search and open any table or view in a snap.

Ad-hoc Analytics on Production Databases: Ask FluentDB in plain English to summarize a table, then review and run the generated SQL against Postgres or MySQL.
Safe Data Exploration: Junior engineers explore live databases without fear thanks to AI guardrails that block destructive statements.
Local-Only Querying: Analysts working with sensitive data run queries against SQLite/SQL Server using a local Ollama model so nothing leaves the machine.
Team License Management: A small team buys reassignable seats and shares one activation pool across multiple Macs.
Agent-Driven Database Ops: Route an MCP-compatible coding agent through FluentDB to open connections and run queries autonomously.

Paid

A product-management system that connects all your customer data into shared context for product teams and their AI agents.

Customer Data Connection: Connect every tool, interaction and competitor into one place so your whole team and agents see the same context.
Context in Minutes: Link your stack and surface your first customer context within minutes of setup.
Signal Extraction: Turn each data point into a real, actionable signal teams can build from rather than raw noise.
Collaborative Canvases: Prioritize, sketch and shape roadmaps together in shared spaces with full context.
Agent Hand-off: Hand the full context to AI agents so they work with more accuracy, higher quality and faster shipping.
Stack Integrations: Unlimited integrations with HubSpot, Intercom, Slack and other product tools.

Roadmap Prioritization: Decide what to build next using connected customer signals instead of guesswork.
Customer Intelligence: Centralize fragmented customer and competitor data into one queryable context.
Agent-Assisted Building: Give AI agents full product context so they ship higher-quality work faster.
Cross-Team Collaboration: Let the whole product team work from a single shared source of truth.
Competitor Tracking: Keep an indexed, up-to-date view of competitor activity for product decisions.