FluentDB vs Rivault: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of FluentDB and Rivault — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
FluentDB
FluentDB
Native macOS database client with an AI co-pilot for PostgreSQL, MySQL, SQLite, and SQL Server — bring your own model.
Key features
- 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.
Best for
- 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.
Rivault
Rivault
A zero-knowledge vault that lets AI agents request sensitive data on demand, unlocked by Face ID or passkey and redacted after each task.
Key features
- Zero-knowledge Vault: Sensitive data is encrypted client-side so Rivault never has access to the underlying values by default.
- Per-request Auth: Every agent access triggers a fresh authorization request that you approve with Face ID or a passkey.
- Deterministic Redaction: Data is scoped to a single task and redacted from the agent's context after completion.
- Agent-agnostic Integration: Works with chat-based AI agents and Computer Use Agents that automate browser or desktop flows.
- Ownership of PII: Store SSN, payment info, phone numbers, and emails once and reuse without leaving copies in session logs or memory.
- Biometric Unlock: Face ID or passkey approval keeps the human in the loop for every sensitive field release.
Best for
- Agent-driven Bookings: Approve passport and card details on-demand when an agent books flights or hotels.
- Automated Form Fill: Let CUAs complete government or insurance forms without leaving PII in browser logs.
- Customer Support Delegation: Grant scoped access to account numbers when an agent handles a service call for you.
- Recurring Task Automation: Reuse stored credentials across many agent workflows without pasting them each time.
- Enterprise Agent Deployments: Add a consent + audit layer for teams deploying agents that touch sensitive employee or customer data.
