Quaso vs Supernova: Features, Pricing & Which Is Better (2026)

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

Quaso

Notte Labs

Freemium

Notte is browser infrastructure for AI agents: fast concurrent browser sessions, prompt-driven browser agents, and serverless browser functions.

Browser Sessions at Scale: Launch 1000+ concurrent browser instances on a global edge network with sub-50 ms latency and 99.9% uptime.
Prompt-driven Browser Agents: Describe a task in one prompt, no selectors or maintenance, with a reported >90% success rate and 3-line setup.
Browser Functions Runtime: Deploy serverless scripts colocated with browsers for 0 ms network hop and <200 ms cold start, with cron scheduling.
Agent Vaults: Encrypted AES-256 credential storage with scoped-per-session access, automatic rotation, and full access log for agent workflows.
Agent Identities: Real dedicated inbox and SMS number per agent to intercept OTPs and pass 2FA on any platform.
Session Profiles: Save full browser state, auto-persist on exit, and reuse across parallel sessions in a safe read-only mode.
Drop-in SDK Compatibility: Works with Playwright, Puppeteer, Selenium, browser-use, and Stagehand across Python, TypeScript, Node.js, and Docker.
Antibot and Residential Proxies: Undetectable browsing with autosolve and a global residential proxy network with fixed IPs or BYO.

Automated checkout flows: Have a Browser Agent complete an e-commerce checkout end-to-end without hand-written selectors.
Invoice and document fetching: Fire a task to pull an invoice or receipt from a vendor portal and hand the file back to the agent.
Subscription cancellations: Cancel a subscription through the live UI with the agent handling OTPs via Agent Identities.
Large-scale scraping: Fan out thousands of concurrent Browser Sessions with residential proxies for real-time market data.
Authenticated agent workflows: Snapshot a logged-in Session Profile once and reuse it across every future run to skip re-authentication.
Serverless web tasks: Ship a scheduled Browser Function that colocates automation logic with the browser for sub-200 ms cold starts.
Cross-framework migration: Drop Notte in behind existing Playwright, Puppeteer, or Selenium code without rewriting the stack.

Paid

An encrypted Iceberg data lake with a built-in engine and MCP endpoint, so Claude and Codex can query every tool your company uses.

MCP Endpoint for Claude and Codex: Point any MCP-speaking assistant at mcp.supernova.ai/mcp and every synced table becomes queryable in natural language.
Encrypted Iceberg Lake: Open Apache Iceberg tables in object storage with table-level encryption, so the data stays in a portable open format you control.
Zero-Copy Connections: Any engine that speaks Iceberg can read the lake directly, avoiding a second copy of your warehouse.
Time Travel: Every table retains version history, so you can query the state of your data as of any earlier point.
Built-In Frontier Models: Ask a question or describe a dashboard in plain language and Supernova generates the models and visualisations without a data team.
TypeSQL: Schema-aware SQL that autocompletes across joins and type-checks before execution, catching errors the way a typed language would.
Single-Binary CLI: One command-line tool connects sources, runs queries, tails live table changes and registers the MCP endpoint with Claude Desktop, from a laptop or CI.
Git-Backed Dashboards: Models and dashboards are readable and writable through Git, putting analytics artefacts under normal version control.

Conversational Revenue Analysis: Ask Claude which customers churned last quarter and why, with the answer computed over live Stripe and HubSpot tables.
Warehouse Cost Reduction: Replace a multi-vendor pipeline-plus-warehouse stack with one usage-billed platform, which the vendor illustrates as $5,640/mo dropping to $540/mo for a hardware company.
Dashboards Without a Data Team: Describe the dashboard you want in a sentence and have the models and charts generated for you.
AI-Native Data Access Layer: Give internal agents a governed, encrypted single endpoint for company data instead of per-tool API integrations.
Auditing Historical State: Use table version history to reconstruct what the numbers looked like before a pricing or schema change.
CI-Driven Data Workflows: Drive connections, queries and change tailing from pipelines using the single CLI binary.