Huwise vs. Snowflake
Data Product Marketplace vs Data Cloud: discover 2 complementary approaches to better leverage your data and make your data investments profitable
Why [ combine ] Huwise and Snowflake?
Huwise and Snowflake address different, but highly complementary, needs within a modern data architecture.
Snowflake is a Data Cloud platform (often referred to as a “data marketplace”) that enables the storage and processing of large volumes of data. Huwise is a data product marketplace solution that makes this data usable with confidence by transforming it into discoverable, certified, governed data products that are understandable and trusted by business users and AI agents.
In short, Snowflake allows your expert teams to manage your data. Huwise enables business teams to activate and consume it at scale to create value.
They chose Huwise
Huwise vs. Snowflake
See Huwise in action!
What are the [ differences ] between Huwise and Snowflake?
| Data architecture | Huwise | Snowflake |
|---|---|---|
| Forms the core of data infrastructure (storage, compute) |  |
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| Acts as an activation and sharing layer on top of the data stack | |
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| Transforms data into ready-to-use data products | |
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| Natively connects to all data sources (data catalogs, data warehouses, business tools, BI tools) | |
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| Enables data sharing without duplication (zero-copy mode) | |
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| User experience | Huwise | Snowflake |
|---|---|---|
| Self-service, e-commerce–like user experience | |
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| Accessible to non-technical business users | |
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| Requires technical skills (SQL, data engineering) | |
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| Usage-oriented interface that encourages adoption | |
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| Intuitive data discovery powered by AI | |
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| Data access | Huwise | Snowflake |
|---|---|---|
| Single interface for data consumption by all employees | |
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| Technical data sharing between systems and tools | |
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| Distribution of data products to internal and external users (including non-technical users) | |
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| Sharing of all types of data assets (datasets, Power BI visualizations, documents, maps, etc.) | |
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| Has built-in MCP server, enabling it to power generative AI applications, agents and models | |
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| Data collection form for data producers | |
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| Data governance | Huwise | Snowflake |
|---|---|---|
| Management of data security and access permissions | |
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| Usage-oriented governance (enabling the promotion and publication of data products) | |
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| Ability to track data product usage and consumption | |
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| Supports semantic layer (business definitions) | |
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| Feeds a business context layer based on usage signals (including audience, conversion KPIs along the user journey) | |
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| ROI & performance | Huwise | Snowflake |
|---|---|---|
| Industrialization of data & AI use cases | |
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| Rapid time-to-value (deployment within a few weeks) | |
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| Enables consumption of data by business teams | |
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| Reduces dependency on technical teams | |
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| Customer satisfaction | Huwise | Snowflake |
|---|---|---|
| Gartner Peer Insights | 4.8/5 | 4.7/5 |
| G2 | 4.7/5 | 4.6/5 |
“Huwise’s data product marketplace solution makes data accessible at scale, thanks to its centralized and intuitive space where everyone can find the data products and data assets they need through self-service. We have implemented a bidirectional integration with Huwise, using ready-to-use connectors that ensure data is always up to date. Companies can therefore fully leverage the complementary capabilities of our two solutions: learning how to maximize the value of their data, creating and distributing data products, and making them available to business teams at scale through a seamless, self-service experience.”
Still have questions?
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By combining Snowflake and Huwise, you move from simply managing data to activating and sharing it at scale:
- Leverage Snowflake’s storage and processing power
- Make your data accessible through self-service via Huwise
- Accelerate your data & AI use cases
- Drive adoption by business teams
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Huwise does not replace Snowflake. It complements and enhances your Snowflake investment.
Example architecture:
Snowflake:
- Stores data
- Executes transformations
- Manages pipelines
Huwise:
- Exposes this data as data products
- Enables discovery and self-service usage
- Adds a business context and usage layer
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1. Virtualization of Snowflake data in Huwise: Expose your Snowflake data in Huwise as data products that can be directly used by business teams, without having to duplicate it.
2. Data product monetization
- Snowflake: technical sharing of datasets
- Huwise: marketplace experience to sell or share data products