Software
Ship data delivery as a product feature
Your customers want your data in their warehouse. Stop hand-building a pipeline for every account — embed Bobsled and deliver to any destination from one integration.
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Powering the world's data businesses
Every customer wants your data somewhere different
Snowflake here, Databricks there, S3 for the rest. Bobsled turns per-customer pipeline work into a single product capability — and the results show up in delivery speed.
Sharing Network
One integration, every destination
Connect your product's data once and Bobsled fulfills it natively to Snowflake, Databricks, BigQuery, S3 and 90+ other cloud and legacy destinations — no per-customer pipeline builds, no destination-specific code to maintain.
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Entitlements
Per-customer views without per-customer code
Scope exactly which tables, columns and rows each account receives. Entitlements are configuration, not engineering — so provisioning a new customer is a product operation, not a sprint.
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Monitoring
Every customer delivery, one control plane
See the status of every share across every destination in one place, with unified monitoring and alerting. When a customer asks where their data is, you already know.
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Radically reduce the cost of home-built data feeds
Bespoke pipelines don't scale with your customer count — every new account adds build time, and every destination adds maintenance burden. Bobsled's egress-free, zero-copy architecture gives your engineers the delivery layer so they can get back to your product.
Reliable infrastructure- Cost-efficient architecture
- 90+ cloud and legacy destinations
- Unified monitoring and alerting
- Data product lineage
- Automated fulfillment
- Powerful APIs
With Bobsled, we've been able to reduce our onboarding time from a few weeks to under a day. That lets my team spend more time turning our data into the insights that drive renewals.
Scott Morrison, Director, Data-as-a-Service | ZoomInfo
Make data delivery part of your product
Trusted by the largest companies in the world to power their most sensitive, regulated and mission-critical workloads.
