Snowflake Technology Partner

Selling Apps on Snowflake

How apps drive credit consumption across Snowflake Cortex AI, Snowflake Postgres, and the Data Platform, and how Superblocks helps you sell them.

What is Superblocks

Superblocks is the governed enterprise vibe coding platform. Business teams (analysts, ops, finance, HR, marketing) prompt an AI agent called Clark to build production apps on top of your customer's Snowflake data. IT configures governance once. Every app inherits it, so hundreds of builders ship safely on Snowflake AI services.

Who builds

Business teams, not engineers

What they ship

Production apps, not prototypes

How it stays safe

IT sets guardrails once

Where it runs

All on the customer's Snowflake's Data Platform
Why apps matter to your number
3 services

Snowflake Data Platform, Snowflake Postgres, and Snowflake Cortex AI. Every Superblocks app can drive workload on all three.

80% of the org

The non-Python, non-SQL builders now ship governed apps on Snowflake data.

Superblocks brings new builders onto Snowflake data and routes every query, every Cortex inference call, and every transaction through your customer's Snowflake environment. More apps in production. More credits consumed across the lifecycle.

Credit consumption with every Superblocks user interaction

Business users building 1,000s of Production Enterprise Apps

Burn down millions of dollars in credits and sell Snowflake Postgres via Superblocks, the only enterprise vibe coding platform built on Snowflake.

  • Token Auth
    Inherit Horizon
  • $Credits
    Snowflake Cortex AI
    Clark Inference
  • $Credits
    Snowflake Postgres
    Operational Database per
    Application
  • $Credits
    Snowflake Warehouse
    Governed read/write queries
  • $Credits
    Snowflake Native Apps
    Deploy into Snowflake
    Governed Environment

Build governed apps at scale on Snowflake

Watch a live build, prompt to production. Every step that drives consumption across Snowflake Data Platform (warehouse), Snowflake Postgres, and Snowflake Cortex AI.

Watch 2 mins video
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Where consumption shows up

  • Snowflake Warehouse
    Apps read and write against governed analytics data. Every screen, every chart, every filter is a query. As the app gets used, the workload grows on what your customer already calls the Snowflake Data Platform.
  • Snowflake Postgres
    Each new Superblocks app can use Postgres as its transactional backend. Orders submitted, approvals recorded, records updated, transactions committed. Apps that mutate state live here.
  • Cortex AI
    Apps invoke Cortex for summarization, classification, search, and document intelligence. Every business team interaction can be a Cortex call. Clark can also run on Cortex inference, so the AI itself consumes credits.

Superblocks сompared with Streamlit

Streamlit is for Python-fluent data scientists and engineers building data apps, dashboards, and ML/AI experiences. Streamlit in Snowflake runs natively in Snowflake and is a strong fit when the builder is technical and the output is a Python-based data app.

Superblocks is for governed operational apps: approval tools, customer workflows, internal portals, exception queues, admin consoles, and workflows that read from Snowflake, write back to Snowflake, and connect to the rest of the business stack.

Area Streamlit Superblocks
Primary Builder Python engineers, data scientists Business teams, ops, IT, analysts, PMs
Interface Python code Natural language with code underneath
Workload Read-only Read and write
Reach in the account The technical team The whole organization
Best for Dashboards, data apps by Python builders Governed apps with SSO passthrough, RBAC, audit logs, 24/7 SLA
Integrations Data apps, dashboards, analytics, ML/AI experiences Operational apps and workflows that read, write, approve, and trigger actions
Lifecycle Build and host Snowflake-native Python apps Build, secure, deploy, govern, audit, and maintain enterprise apps

Superblocks compared with Cortex Code

Cortex Code is Snowflake’s AI coding agent for building, optimizing, and managing data and AI workflows inside Snowflake. It runs in Snowsight and as a CLI. For Snowflake-native data teams working on pipelines, SQL/Python, ML, agents, and admin workflows, Cortex Code is the right tool.

Superblocks is the app layer for governed enterprise workflows on Snowflake data. It lets business and operations teams build production apps with UIs that end users can use every day, governed by SSO, RBAC, audit logs, and centralized IT controls.

Area Cortex Code Superblocks
Primary Builder Data engineers, data scientists, platform admins Business teams (analyst, marketing, ops, finance, HR)
Interface Snowsight, CLI in a local shell Browser, natural language
Output Data pipelines, SQL/Python notebooks, ML workflows, Snowflake agents, optimized queries Production apps with UIs, deployed to end users
Reach in the account The technical team already inside Snowflake The whole company, including people who never log into Snowflake
Best for Building and optimizing data assets inside Snowflake Building governed enterprise apps on Snowflake data
How to sell apps

The signals to spot deals, qualifying questions, 60-second talk track and buyer personas.

Three signals of a great deal

  • 01
    Vibe coding is already happening

    Prototypes are floating around the org. The CISO has had at least one "what is this?" moment. Business teams are not waiting for IT.

    ‍

    Listen for: "we banned X tool," "shadow AI," "the board told us to bring in AI."

  • 02
    Governed democratization on Snowflake

    Engineering is the bottleneck. Business analysts and ops teams have ideas that never ship. The customer wants IT to say yes more often without losing Horizon control.

    ‍

    Listen for: "engineering backlog," "non-technical builders," "Unity Catalog matters."

  • 03
    Scale and control as a platform play

    They have seen the one-off prototype work. Now they want a repeatable stack, hundreds of apps the same way, configured once and inherited everywhere.

    ‍

    Listen for: "standard stack," "repeatable," "platform decision."

Four questions that qualify the deal

  • 01
    Who is going to build the app?
  • 02
    What systems does it read or write?
  • 03
    Who is going to own and control this?
  • 04
    What app-layer governance does security need?

The right answers: non-data-team builders, broad data access across Snowflake and beyond, IT or the CIO owning it centrally, and serious app-layer governance needs. When you hear that shape, it is a Superblocks plus Snowflake deal.

The 60-second talk track

  • 01
    Name the gap

    Every customer governs their data with Databricks. Most have no equivalent layer for the apps that sit on top.

    ‍

    That gap is where shadow tools grow and where engineering backlogs build up.

  • 02
    Make the risk real

    Every app that opens up your data is a new surface for leaks. More builders, more apps, exponentially more risk.

    ‍

    The app layer needs the same governance Snowflake brings to the data, or AI sprawl outpaces the controls.

  • 03
    Tie it to consumption

    Every governed app can drive one or more of these: a Postgres database, Cortex inference calls, Warehouse queries.

    ‍

    The customer gets safe app development. You get more levers of consumption per app.

The right personas

  • CTO or CIO
    Economic buyer

    Owns IT and the AI mandate. Has the budget. Holds the room.

  • Head/VP of platform/data eng
    Mobilizer

    Manages infrastructure and the Snowflake account. Becomes our active seller inside the org.

  • CISO or InfoSec Partner
    Risk gatekeeper

    Either blocks or accelerates. Convert them with the architecture and audit story in one meeting.

How to think about apps in the enterprise stack

The Launchpad Program

The first 10 Snowflake account teams to engage get white-glove, end-to-end support: scoping, a pre-built demo on the customer's Snowflake data, and a joint customer pitch. No cost to the customer.

  • 01
    Surface a use case

    AE or SA flags an account with a stalled app, an AI sprawl problem, or Databricks data the customer wants to turn into a real product.

  • 02
    We build the demo

    Superblocks scopes and builds a working app on the customer's use case before the first meeting. SE walks in with a demo, not a deck.

  • 03
    Joint customer pitch.

    Snowflake rep and Superblocks pitch together. Customer sees their own data, their own use case, live. Drives consumption. Creates a joint case study.

email: tom@superblockshq.com

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