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DirectoryData & AnalyticsData Warehouse & LakehouseDuckDB

DuckDB

Open SourceFunded

In-process SQL OLAP database for seamless data analytics everywhere

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About DuckDB

DuckDB is an embeddable SQL OLAP database designed to run directly within your applications, enabling analytics where your data resides—whether on laptops, servers, or browsers. It supports complex analytical queries with a familiar SQL dialect and integrates natively with popular programming languages such as Python, Java, Go, and JavaScript. DuckDB is optimized for large-scale, columnar data processing, making it suitable for enterprises handling extensive datasets without the overhead of traditional data warehouses.

Targeted at data teams across industries including technology, finance, and startups, DuckDB offers a feature-rich, fast, and portable solution that supports a variety of data formats like Parquet, CSV, and JSON, and integrates seamlessly with cloud storage platforms such as AWS, Azure, and Google Cloud. Its extensible architecture allows for custom extensions and spatial data support, providing enterprises with a flexible and scalable analytics engine that can be embedded directly into their data stack, reducing latency and infrastructure complexity.

Key Capabilities

  • In-process SQL OLAP database engine
  • Support for diverse data formats including Parquet and CSV
  • Native client APIs for Python, Java, Go, and JavaScript
  • Seamless integration with cloud platforms and data lakes
  • Extensible architecture with support for custom extensions

Integrations

Amazon Web ServicesMicrosoft AzurePostgreSQL

This profile was compiled by CIOPages from public sources with AI assistance, and may be incomplete or out of date. It is informational only and not an endorsement. Represent this vendor? or .

Quick Facts

duckdb.org
CategoryData & Analytics
SubcategoryData Warehouse & Lakehouse
PricingOpen Source
DeploymentOpen Source
Target SizeEnterprise