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

A side-by-side comparison of FluentDB and HOL Guard — 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.

HOL

Freemium

HOL Guard sits between AI coding agents and their tools to intercept risky reads, installs, MCP registrations, and config changes before execution.

Pre-execution Interception: Wraps agent launch commands so risky reads, installs, MCP registrations, and config or hook changes are surfaced as a reviewable diff before they run.
Under 50 ms Local Scan: All scanning happens on-device with no outbound network call, keeping agent workflows fast and usable fully offline.
One-keystroke Approval Flow: Each block presents the diff on screen so the developer can allow or deny with a single key, and the decision is written to a local receipt.
Multi-Harness Support: Ships tailored integrations for Claude Code, Codex, Cursor, OpenCode, Gemini CLI, Hermes, and OpenClaw so the same policy engine covers every agent.
Guard Cloud Sync: Optional cloud tier syncs decision receipts, alerts, and audit history across machines while never uploading file contents, prompts, or environment variables.
Team Policy Packs: Team plan deploys shared policy packs, team alerts, and investigation routing so multiple developers operate under the same runtime rules.
Plugin Scanner for Maintainers: Companion CLI and GitHub Action verify plugin manifests, MCP transport posture, and skill-level prompt-injection markers before release.

Blocking secret exfiltration: Stop a coding agent from reading .npmrc, .env, or cloud credential files during an automated task.
Guarding MCP installs: Review new MCP server registrations for insecure HTTP endpoints or wildcard binds before they are added to the harness.
Enforcing config approvals: Require an explicit allow on config or hook edits proposed by an agent so surprise supply-chain changes are caught in place.
Team-wide policy control: Roll out a single Guard policy pack across a team so every developer's Cursor or Claude Code session enforces the same runtime rules.
Cross-device continuity: Sync approval history through Guard Cloud so switching laptops does not force a developer to re-approve safe actions from scratch.
Plugin release gating: Use the plugin-scanner action in CI to fail PRs that publish plugins below a minimum trust score or with high-severity issues.