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Your organization uses a custom on-premises visualization tool to generate business intelligence reports. The tool currently connects to relational databases using standard SQL protocols and does not natively support the BigQuery API.
You need to integrate this tool with BigQuery to analyze large datasets. Security policies mandate that the connection must not traverse the public internet, and BigQuery resources must be protected from data exfiltration by restricting access strictly to your hybrid network environment.
How should you securely integrate the on-premises tool with BigQuery?
The Simba JDBC and ODBC drivers for BigQuery allow legacy or custom applications that rely on standard SQL protocols to connect to BigQuery without requiring native API integration. Private Google Access (or Private Service Connect) allows on-premises networks connected via Cloud VPN or Cloud Interconnect to reach Google APIs using internal IP addresses. VPC Service Controls creates a secure perimeter around Google Cloud resources to mitigate data exfiltration risks.
This architecture seamlessly integrates legacy BI tools with modern cloud data warehouses while adhering to strict zero-trust and private networking mandates. It leverages purpose-built drivers for application compatibility and native Google Cloud networking security controls to ensure end-to-end protection.
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