List of DuckDB Customers
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Since 2010, our global team of researchers has been studying DuckDB customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased DuckDB for Database Management from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using DuckDB for Database Management include: Hugging Face, a United States based Professional Services organisation with 500 employees and revenues of $50.0 million, Hex, a United States based Professional Services organisation with 100 employees and revenues of $6.0 million, Watershed, a United States based Professional Services organisation with 10 employees and revenues of $1.0 million and many others.
Contact us if you need a completed and verified list of companies using DuckDB, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the software purchases.
The DuckDB customer wins are being incorporated in our Enterprise Applications Buyer Insight and Technographics Customer Database which has over 100 data fields that detail company usage of software systems and their digital transformation initiatives. Apps Run The World wants to become your No. 1 technographic data source!
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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Hex | Professional Services | 100 | $6M | United States | DuckDB | DuckDB | Database Management | 2024 | n/a |
In 2024, Hex implemented DuckDB as an in memory engine for notebook and data app analytics. The DuckDB deployment is categorized as Database Management and was applied to notebook execution architecture supporting data science and analytics workflows in the United States.
Hex reconfigured notebooks to issue DuckDB SQL directly over Arrow files stored in S3, avoiding materializing large pandas DataFrames. DuckDB operates as an in memory SQL execution layer inside Hex notebooks and data apps, providing columnar query execution and local SQL semantics for interactive analytics.
The implementation changed developer workflows by shifting data handling from full DataFrame materialization to Arrow over S3 query patterns, improving concurrency and reducing peak memory usage for notebook workloads. Operational coverage focused on data science and analytics teams, and the team instruments DuckDB SQL in notebook cells and data app request paths to standardize execution and resource control.
Hex reports roughly 5 to 10 times project runtime improvements for many projects, with measurable gains in interactive performance and concurrency for analytics workloads. These outcomes are tied to the DuckDB powered execution model over Arrow files stored in S3 and reflect project level reports within notebook and data app analytics use cases.
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Hugging Face | Professional Services | 500 | $50M | United States | DuckDB | DuckDB | Database Management | 2024 | n/a |
In 2024, Hugging Face worked with the DuckDB team to add hf:// support to DuckDB. The DuckDB integration is positioned in the Database Management category and enables direct SQL access to more than 150,000 datasets on the Hugging Face Hub for machine learning and AI dataset access, allowing queries over remote Parquet, CSV, and JSONL files without prior bulk download.
The implementation delivers an hf:// connector inside DuckDB that exposes standard SQL query capability over remote files and provides documented CREATE TABLE AS patterns to materialize remote data into local DuckDB tables. Authentication and access patterns are documented using DuckDB secrets to store Hub credentials, enabling secure programmatic access and repeatable dataset ingestion workflows for data scientists and ML engineers.
Integration is limited to the Hugging Face Hub and DuckDB runtime, with workflow implications for dataset discovery, ad hoc exploration, and downstream analytical processing. Announced May 29, 2024, the work includes guidance on secret management and materialization patterns, supporting easier dataset access and exploration while introducing governance considerations around credential handling and controlled dataset materialization for ML and AI teams.
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Watershed | Professional Services | 10 | $1M | United States | DuckDB | DuckDB | Database Management | 2022 | n/a |
In 2022, Watershed implemented DuckDB as its Database Management platform. Watershed uses DuckDB to compute customer carbon footprints and run data transforms as part of its sustainability analytics platform in the United States.
The deployment centers on DuckDB for analytical processing and transformation workloads, with configuration focused on footprint generation pipelines and background ETL transforms. Functional capabilities implemented include customer footprint computation, scheduled and ad hoc data transforms, and real-time query support for analytics and reporting.
Operationally, the engineering team operates duckdb server deployments to serve both real-time queries and background transforms, handling 100k+ DuckDB requests per day. The implementation covers Watershed engineering and analytics workflows within the United States and is documented in the company engineering blog.
Governance and runbook responsibilities sit with the Watershed engineering organization, which manages deployment topology and workload routing for DuckDB. Watershed reported a 25% reduction in DuckDB compute spend while maintaining 95%+ footprint generation success rates, outcomes that are described alongside operational practices in their public engineering notes.
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