Connect to the cloud warehouses you already run
Pull from Snowflake, Databricks, BigQuery, Redshift, S3, Azure Blob, internal databases, and REST APIs. Your existing infrastructure as a first-class source.
Pre-Built Connectors
Your cloud data platforms are already part of the source layer
Snowflake, Databricks, BigQuery, Redshift, S3, Azure Blob, and internal databases can be treated as governed upstream sources in Aquata.
How It Works
From warehouse extract to normalized investment data in three steps
Browse available cloud sources
Use the Marketplace to find supported warehouse, lake, object storage, and database patterns that match your internal architecture.
Configure secure access
Connect through warehouse credentials, cloud storage access, service accounts, or API-based authentication using Aquata Credential Manager.
Query normalized data
Source-native datasets map into shared investment models for positions, transactions, accounting, reference, and reporting workflows.
What You Can Do
Four workflows, one cloud source layer
Use your existing warehouse and storage estate as a governed source system without rebuilding schema logic from scratch.
Map internal Snowflake, Databricks, and BigQuery datasets into Aquata domain schemas.
Standardize internally modeled data into positions, transactions, accounting, and reference datasets so downstream teams work from a common structure.
Common Questions
Yes. Aquata can treat existing warehouses and lakehouse platforms as governed sources and ingest the datasets your team already maintains.
Connect your cloud infrastructure
Snowflake, Databricks, BigQuery, and more. Bi-directional sync with your existing warehouse.
