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Demand for data sharing is spiking. Here's why.
Agents want the underlying data, not dashboards. Here’s why data teams are turning to a battle-tested primitive — data sharing — to support them.
5 Questions for Bobsled's Chief Scientist
We talk with Matt Neligeorge, Bobsled's Chief Scientist, about why agentic analytics is hard, why a good harness beats a better model, and how background agents that learn from usage are improving accuracy on the questions that matter most.
Beyond the "context era" in agentic analytics
As agent models keep improving — moving from tools a human wields to systems that run long, multi-step tasks on their own — we're heading toward agents that curate their own context, learning from every question asked, every query run, and every piece of feedback received.
Everything we shipped in May
Three product launches — the Analytics MCP, Data Skills, and Workflows — plus a stack of quality-of-life upgrades.
Introducing Workflows
The flexibility of an agent. The predictability of a pipeline.
Introducing Data Skills
Repeatable prompts that let data teams teach agents how to handle complex analyses on demand — codified once, reusable forever.
The single biggest threat to your agentic analytics project in 2026
Most agentic analytics POCs survive the demo. Few survive context drift, and the problem only gets worse when agents, not people, are the ones asking the questions.
Introducing the Bobsled Analytics MCP
A governed endpoint that gives agents an analyst on the other side of the connection, not just an API. Built for data teams that want to support agentic workflows without losing control of how their data is interpreted.
Changelog
View allTag and filter your Bobsled resources through the API
Structured tags are now available across tables, data products, data consumers, and consumer destinations, for both read and write through the REST API. You can attach your own key/value tags when you create or update a resource, read them back on any response, and filter list endpoints by tag. New endpoints let you list tag categories and values so an integration can discover the IDs it needs.
Improvements to the Bobsled API
A batch of API upgrades are live for teams building Bobsled into their own applications and workflows. The API returns more of the delivery state you can see in the UI, so whatever you build on top of it can report where a delivery really stands.
Scheduled data products, now GA
Scheduled data products are now generally available across every destination. Load your pipeline on its own cadence and deliver to each customer on a separate one, so every consumer sees a consistent point-in-time snapshot of each release. You can price on update frequency without standing up extra pipelines.
Improvements to SFTP on Bobsled
Bobsled-hosted SFTP now supports username and password login, alongside SSH keys. Set up SFTP delivery for consumers who sign in the way they already do, with nothing to change on their end.
Archive
- More control over CSV file outputRelease
- Geospatial support on DatabricksRelease
- AI error summariesRelease
- Expanded support for local copiesRelease
- UI upgrades to table managementRelease
- Improved support for large table loadsRelease
- Scheduled data products (Beta)Release
- End-to-end visibility of data productsRelease
- Improved customization of destination namingRelease
- External S3 destinationsRelease
- How Aampe Unlocks Analytics for Its AI Platform with BobsledCase Study
- Introducing Data AppsProduct
- Introducing Adaptive LearningProduct
- A Data Product Leader's Guide to Winning in the Agentic EraAgentic Analytics
- 4 AI Analytics Use Cases That Will Actually Pay Off in 2026AI Data Products
- Semantic Models for Data Product Managers: What You Need to KnowAI Data Products
- Say Goodbye to Egress Fees in BobsledProduct
- Snowflake Semantic Model Sharing in BobsledProduct
- Introducing Data Products in BobsledProduct
- Two Years of BobsledData Providers
- Cotality brings property intelligence to the modern data stackCase Study
- How ZoomInfo Scaled Its Integration Strategy with BobsledCase Study
- Are Data Marketplaces Worth It?Guides
- Sledhouse: The First Data Product LakehouseProduct
- Introducing Redshift Sharing on BobsledProduct
- Playbook: Building a Data Sharing Offering in B2B SaaSSaaS
- Introducing Bobsled on BigQueryProduct
- Introducing Bobsled on SnowflakeProduct
- Building toward auto-fulfillment with BobsledCase Study
- Introducing BigQuery Sharing on BobsledProduct
- How CARTO builds “cloud-native” data products with BobsledCase Study
- 6 Strategies to Reduce Churn in a Data BusinessData Providers
- Data sharing and SaaS: strategy, pricing and moreSaaS
- Why LinkUp is Doubling Down on Data SharingData Providers
- Why Cotality is Investing in Databricks MarketplaceData Providers
- Introducing Delta Sharing on BobsledProduct
- Guide: Sharing and Marketing Data Products on DatabricksGuides
- Building Data Products That ScaleGuides
- Building Data Products in the Age of AIArticle
- Winning on Snowflake Marketplace: Insights from the InsideGuides
- Introducing Bobsled: The First Data Sharing PlatformProduct
- How Facteus Scaled Its Data-as-a-Service BusinessArticle
- The Data Provider's Guide to Modernizing DeliveryGuides
- Bobsled Raises $24 Million to Make Cross-Cloud Data Sharing a RealityNews
- How Data Providers Can Grow Their Business With SnowflakeGuides
- Global Data Accelerates Its Sales Cycle and Frees Up Engineers with Bobsled Case Study