Share data anywhere at
a fraction of the cost
Bring data to the platforms where customers work without integrations to build, pipelines to fix, or cloud bills to justify.
Get a DemoZero egress · Zero copy
One dataset, every platform
Publish once — every consumer reads in place. No copies leave, and you never pay egress to move data.
Capabilities
Meet customers where they work
Make data accessible across the platforms where customers work, without the cost and complexity of custom-built pipelines.
- 90+ cloud and FTP destinations
- Zero copy architecture
- Egress-free infrastructure
- Cost-efficient ingestion
- Point-and-click UI
- Powerful APIs
Interoperable
Pre-built integrations to the platforms where data teams work
Make data products accessible to customers in their data warehouse, file storage or FTP server without building a single pipeline.
- Support for every major data platform, cloud and FTP
- Secure, fully managed infrastructure
- Seamless, zero ETL access for consumers
Managed
No pipelines or infrastructure to build
Modern sharing protocols require you to manage infrastructure in the destination. Bobsled operates a network of destinations you can build on in the platform you know best.
- Fully managed infrastructure in every cloud and region
- Secure, single tenant accounts
- Trusted by the most security-sensitive data product teams
Cost effective
Never pay egress again
Bobsled is built on zero egress, zero copy infrastructure so you can ship petabyte-scale data without petabyte-scale costs.
- Never pay to move data to other clouds
- Share data without increasing storage
Destinations
Reach customers wherever they work
Sources
Google Cloud Storage
Turn raw files and curated datasets in Google Cloud Storage into queryable, versioned data products customers can consume anywhere.
Sources
Azure Storage
Turn raw files and curated datasets in Azure Blob Storage into queryable, versioned data products customers can consume anywhere.
Sources
AWS S3
Turn raw files and curated datasets in Amazon S3 into queryable, versioned data products customers can consume anywhere.
Sources
Google BigQuery
Source data natively from BigQuery while preserving performance, security, and project-level governance.
Sources
Databricks
Source data natively from Databricks while preserving performance, security, and project-level governance.
Sources
Snowflake
Source data natively from Snowflake while preserving performance, security, and project-level governance.
Destinations
Amazon Redshift
Share ready-to-query tables to external teams in any region of Redshift using Redshift Sharing.
Destinations
Google Cloud Storage
Share files to external teams in any region of Google Cloud Storage.
Destinations
Google BigQuery
Share ready-to-query tables to external teams using BigQuery Sharing.
Destinations
Databricks
Share ready-to-query tables to external teams in Databricks using Delta Sharing.
Destinations
Snowflake
Share ready-to-query tables to external teams in any region of Snowflake using Snowflake Sharing.