Dataporto provides a native data‑sharing‑as‑a‑service platform that lets enterprise teams provision secure, tenant‑isolated data shares across Snowflake, Databricks, BigQuery, Redshift, and Fabric with a single click. The service auto‑discovers source schemas, creates data contracts, and synchronizes changes in near real‑time without copying data, while offering built‑in governance such as role‑based access, data masking, usage auditing, and time‑bound expiration. An embeddable white‑label portal and developer APIs enable self‑service access and automation for large‑scale B2B data delivery.
Funding
Funding not disclosed
Founders
Product
Problem
Enterprises that need to provide their customers with up‑to‑date data from data warehouses must build custom pipelines, manage copy jobs, and implement complex governance controls, which consumes engineering resources and introduces risk of data leakage or stale data.
Solution
Dataporto offers a native data‑sharing‑as‑a‑service platform that lets companies provision secure, tenant‑isolated data shares across Snowflake, Databricks, BigQuery, Redshift, and Fabric with a single click. The service automatically discovers source schemas, creates data contracts, and synchronizes changes in near real‑time without copying data, enabling zero‑copy access for clients. Built‑in governance features provide role‑based access controls, data masking, usage auditing, and time‑bound expiration to maintain compliance. An embeddable white‑label portal and developer APIs allow clients to self‑serve data access while the provider retains full control and visibility. The platform also includes monitoring, alerts, and billing metering to support operational oversight and monetization.
Target Audience
Primary customers are enterprise data product teams, SaaS providers, and B2B companies that need to deliver governed, real‑time data to large numbers of corporate clients across multiple warehouse platforms.
Features
- Source connectivity to databases, warehouses, and data lakes (RDS, S3, Snowflake, Databricks, BigQuery) with automatic cataloging of tables, schemas, and views
- Data contracts that define schemas, service‑level agreements, and expiration rules for governed sharing
- Zero‑copy delivery options including Snowflake Data Share, Databricks Delta Share, and sFTP with live, near‑real‑time sync
- Client provisioning via reader accounts or managed endpoints with fine‑grained role‑based access and data masking
- Comprehensive governance: access control, usage auditing, schema drift alerts, and instant revocation of time‑bound shares
- Monitoring and alerting for pipeline breaks, schema changes, and stale data
- Billing and metering dashboards for usage‑based chargebacks or monetization
- Developer API and Terraform support for full automation, plus a white‑label self‑service data portal