DATABASE ADAPTERS

DVT includes 19 database adapters in one package. Every adapter supports pushdown execution, extraction as a source, and materialization as a target.

All drivers are installed automatically by dvt sync.

POSTGRESQL

Open-source relational database. The most popular choice for on-premises analytics and operational data stores.

Cloud-native data warehouse with automatic scaling. Popular for analytics workloads and as a central data platform.

Google's serverless, highly scalable data warehouse. Pay-per-query pricing makes it cost-effective for intermittent analytics.

Amazon's cloud data warehouse based on PostgreSQL. Designed for petabyte-scale analytics with familiar SQL syntax.

Unified analytics platform combining data engineering, data science, and business analytics on a lakehouse architecture.

The world's most popular open-source database. Widely used for operational/transactional workloads and web applications.

Community-developed fork of MySQL. Drop-in replacement with enhanced performance and additional storage engines.

Microsoft's enterprise relational database. Dominant in corporate environments, especially with .NET ecosystems.

Enterprise-grade relational database. Industry standard for mission-critical financial, ERP, and healthcare systems.

In-process analytical database. DVT uses DuckDB internally for federation compute and as the extraction cache engine.

Distributed compute engine for large-scale data processing. Used with Hive Metastore, HDFS, and cloud storage.

Microsoft's unified analytics platform combining data engineering, data science, and business intelligence in one SaaS offering.

Column-oriented OLAP database for real-time analytics. Designed for sub-second queries over billions of rows.

Distributed SQL query engine for federated analytics across heterogeneous data sources. Formerly known as Presto.

Serverless, file-based relational database. Ideal for local development, testing, and embedded analytics.

Distributed SQL database for real-time analytics and transactions. MySQL wire-protocol compatible with scale-out architecture.

AWS serverless query service for analyzing data in S3 using standard SQL. Pay-per-query with no infrastructure to manage.

Columnar analytics database designed for large-scale data warehousing. Known for high-performance complex queries on massive datasets.