We’re excited to announce Data Products in Bobsled.

Now, customer-facing teams can create and customize products on demand — without burying engineering in a sprawling mess of costly pipelines and ungoverned products.

With Data Products in Bobsled, teams can:

• Customize products on the fly. Filter rows, select columns, and build complex joins using a no-code editor or AI-assisted SQL interface.
• Govern data products centrally. Track permissions, usage, and lineage for every product and customer from a single pane of glass.
• Integrate with existing apps and workflows. Embed product creation into internal apps or data marketplaces with our Data Product API.

Customizing data products is essential for teams building feeds. No two customers are the same, and the ability to customize products gives sales teams the flexibility to deliver the right data to the right customer at the right price. Pricing, performance, and compliance all drive demand for custom products.

However, today, customization generates enormous complexity for data product teams.

Larger data companies often have internal tools for filtering, but most customized products still end up on the desks of engineering or data services teams. Even worse, data engineering teams are left managing a long list of derivative products—hundreds, if not thousands, of permutations of the same product.

This puts engineering teams in a tough spot: Should they allow greater flexibility and deal with the complexity, or keep products standardized and limit GTM teams? It’s a trade-off that forces engineering teams to choose between efficient infrastructure and satisfied customers.

Unlocking data products at scale with Bobsled

Data Products in Bobsled let engineering teams have both.

Customer-facing teams get an easy-to-use interface to build and customize data products on the fly. Engineering teams get infrastructure to manage products without the cost overruns, governance problems, and performance issues that come from data product sprawl.

A no-code query builder and AI-assisted SQL engine

There’s a truism in sales: time kills deals. In the data business, it’s often custom requirements that turn an already lengthy sales and onboarding process from a sprint into a marathon. Sales gathers requirements from the customer, communicates them to engineering via a ticket, engineering generates the product, revisions come back from sales, and the cycle continues.

Bobsled now lets customer-facing teams build, customize, and fulfill products securely without engineering support. Using our no-code query builder and AI-assisted SQL query engine, sales, customer success, and data services teams can do everything from simple filters to complex joins—all without building a pipeline or touching the core infrastructure.

Unified governance and management for data products

When we spoke with engineering teams, we heard a common refrain: managing data products is as much an infrastructure challenge as it is a workflow problem. Hundreds of products mean hundreds of jobs to monitor, pipelines to manage, and datasets to govern.

Making it easier to create data products can actually increase this challenge.

That’s why we built Data Products on top of our next-generation data product lakehouse. With Bobsled, engineering teams get:

1. Unified governance. Bobsled integrates with your core data platform, providing a secure, governed layer between where data assets are created and where data products are brought to market.
2. Lower costs. Data products in Bobsled are logical views built on top of core data assets and managed in an egress-free infrastructure. This dramatically reduces the cost of management.
3. Global interoperability. Once a data product is created, it can be instantly shared anywhere in the cloud through localized and zero-copy distribution.

Powerful APIs to Integrate with Your Existing Stack

Bobsled helps data engineering teams spend less time managing infrastructure and more time building new products. With our suite of APIs, engineering can integrate the entire data product enablement process—from creation and customization to fulfillment—directly into their existing technology stack.

Common use cases include:

• Internal workflows and apps. Integrate Bobsled into internal pipelines or applications already used by customer-facing teams to create and deliver products.
• Self-serve data marketplaces. Integrate Bobsled into external-facing data marketplaces so customers can select, customize, and access data products instantly.

‍Getting started with Bobsled

Interested in learn more about building and scaling data products in Bobsled?

• Documentation
• Technical white paper
• Sign up for platform tour

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