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

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

Decode

Entropik Technologies

Freemium

A human insights platform that uses emotion AI, webcam eye tracking, and predictive models to test creative, products, and experiences before launch.

Emotion AI Measurement: Face emotion, voice emotion, and text sentiment analysis reveal how respondents actually feel during a study rather than only what they report in an answer.
Webcam Eye Gaze Tracking: Real eye tracking runs through a participant's own webcam with zero hardware, producing attention heatmaps that show where people look first and what they miss.
AI Creative Insights: Neuro AI predicts attention, emotional resonance, brand recall, and conversion impact for ad creative, packaging, OOH, and web layouts before media spend is committed.
Synthetic Audience: Build reusable synthetic personas and compare how each creative performs persona by persona ahead of fielding a study with real respondents.
AI Moderator: Runs moderated and unmoderated interviews at scale, then extracts themes, emotions, and supporting evidence from raw interview and video feedback automatically.
Shopper and Shelf Simulation: Simulates real-world shelf and pack testing with attention heatmaps, shelf visibility analysis, planogram optimization, and purchase-intent prediction.
UX Research Suite: Prototype testing, unmoderated task studies, usability and wireframe testing, card and tree sorting, and live website and app testing, each enriched with gaze and emotion data.
Global Respondent Panel: Access to more than 103 million respondents worldwide, or bring your own panel free of charge on any plan.

Pre-Flight Ad Testing: Comparing creative variations and messaging options to predict which version earns attention and recall before buying media.
Packaging and Shelf Decisions: Testing pack designs and planograms in a simulated retail environment to forecast visibility and purchase intent.
Product Concept Validation: Screening product concepts, storyboards, and innovation ideas for early-stage market fit before committing development resources.
UX Friction Discovery: Running prototype and usability studies where webcam eye tracking and emotion signals expose confusion users cannot articulate.
Qualitative Research at Scale: Using the AI Moderator to conduct and synthesize many interviews into structured themes instead of manual transcript coding.
Brand Tracking and Price Testing: Running recurring consumer studies on brand perception, pricing, and the customer journey across multiple markets.

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.