DuckDB Labs
- Company typePrivate
- Founded2021
- HeadquartersAmsterdam, Netherlands
- Headcount11–50
- GTM typeB2B
- OfferingSoftware
DuckDB Labs firmographics
Firmographics- Name
- DuckDB Labs
- Legal name
- DuckDB Engineering B.V.
- Website
- https://ducklabs.com
- Company type
- Private
- Founded year
- 2021
- Operating status
- Operating
- Headcount range
- 11–50 employees
- Ownership category
- akta.pro rank
DuckDB Labs industry classification
Industry- Product category
- Analytical Database Software
- NAICS
- Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (51821)
- akta.pro primary industry
- Lakehouse Platforms (HDAEABAB)
- akta.pro secondary industries
- Data Warehouse/Lakehouse Performance Optimization & Cost Management (HDAEABAL), Cloud Data Warehouses (HDAEABAA)
Keywords
Where DuckDB Labs is headquartered
LocationHeadquarters
- HQ city
- Amsterdam
- HQ country
- Netherlands
- HQ region
- Europe
Offices1 record
Markets served
DuckDB Labs business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Personnel, Technology or R&D, Operations, Marketing or Sales, Others
Revenue model
- Enterprise Support: SLA-backed support contracts for teams running DuckDB in production, providing priority support and direct access to DuckDB creators.
- Technical Advisory Services: Architecture reviews and guidance services to help teams avoid pitfalls in architecture, scaling, extension management, and deployment.
- Feature Development: Custom feature development services where DuckLabs designs and builds new capabilities aligned with DuckDB's architecture and roadmap.
- Engineering Collaboration: Optimization and collaboration services to optimize DuckDB for specific customer workloads.
Go-to-market motion1 record
Distribution channels1 record
Marketing channels5 records
DuckDB Labs product offering
Product offeringCore offering
DuckDB Labs provides enterprise services for the DuckDB open-source analytical database, including SLA-backed enterprise support, technical advisory, custom feature development, and engineering collaboration. The company builds and maintains DuckDB, an in-process OLAP database with columnar storage and vectorized execution, and has developed the DuckLake lakehouse format specification to address inefficiencies in lakehouse implementations built on open table formats.
Product overview
DuckDB Labs offers a portfolio centered around the DuckDB open-source analytical database and the DuckLake lakehouse format specification. DuckDB is an embedded OLAP database that runs directly inside applications without server overhead, while DuckLake is a production-ready lakehouse format that uses DuckDB as a metadata RDBMS to solve the 'small changes' problem in lakehouse implementations. Beyond the open-source core products, DuckLabs provides commercial services including Enterprise Support (SLA-backed), Technical Advisory (architecture reviews), Feature Development (custom capability building), and Engineering Collaboration (workload optimization). The portfolio is unified around ensuring DuckDB remains open-source, technically sound, and sustainably developed while supporting organizations in production deployments.
Differentiator
Problem solved
Functional benefit
Brands
- DuckLake: A production-ready lakehouse format specification that addresses the 'small changes' problem in lakehouse implementations built on open table formats like Apache Iceberg and Delta Lake.
- Quack
Products and services
- DuckDB An open-source, in-process analytical database with columnar storage and vectorized execution that embeds directly inside applications without requiring a server or network overhead. Used by hundreds of thousands of data teams worldwide.
- DuckLake A production-ready lakehouse format specification that uses DuckDB as a metadata RDBMS to batch small changes before flushing them to Parquet files, avoiding the inefficiency of writing single-row files to object stores.
- Enterprise Support
Quantifiable outcome
- 926x faster queries compared to Apache Iceberg
- +3 more outcomes
Companies that use DuckDB Labs
Customer profileSegments3 records
Ideal customer profiles2 records
DuckDB Labs technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- No
- API docs
- API detail
Core technology
AI maturity
App detail
Feature2 records
DuckDB Labs partnerships and signals
Strategic signalPartnerships
Five partnerships are on record, tiered core.
- MotherDuckcoreMotherDuck is a startup building a hybrid cloud-local service around DuckDB. They have raised over $100 million in funding and are developing extensions to the DuckDB ecosystem. The relationship is collaborative, with MotherDuck building commercial services on top of the open-source DuckDB project.
- NVIDIAcoreNVIDIA is listed as a collaborator/trusted organization, indicating integration or technical collaboration with DuckDB for data infrastructure needs.
- DatabrickscoreDatabricks is listed as a collaborator/trusted organization, indicating integration or technical collaboration with DuckDB for lakehouse and analytics workloads.
- FivetrancoreFivetran is listed as a collaborator/trusted organization, indicating integration or technical collaboration for data pipeline and analytics use cases.
- Sovereign Tech AgencycoreSovereign Tech Agency is listed as a collaborator, indicating support for open-source development and sustainability of DuckDB.
Scale indicators5 records
Recent moves6 records
Expansion highlights6 records
DuckDB Labs competitors and assessment
Company assessmentDirect peers
- ClickHouse: ClickHouse is a columnar, open-source OLAP database optimized for analytical workloads, competing head-to-head with DuckDB in embedded and analytical use cases. It offers both an open-source engine and a managed cloud service, making it a close functional peer.
- MotherDuck: MotherDuck builds a hybrid cloud-local managed DuckDB service and is DuckDB Labs' closest strategic partner. It is the most directly comparable commercial entity built on the DuckDB engine and represents both a collaboration and a competitive commercial channel.
- StarRocks: StarRocks is a high-performance analytical database (formerly Doris) providing real-time OLAP on columnar storage, directly competing with DuckDB and DuckLake for analytical workloads at scale. It targets overlapping customer segments and use cases.
- SingleStore: SingleStore is a distributed SQL database combining transactional and analytical workloads, often positioned as an alternative for embedded and real-time analytics. It targets similar data engineering and analytics teams as DuckDB Labs.
- Apache Druid: Apache Druid is a real-time analytical columnar database used for OLAP queries on event/streaming data, overlapping with DuckDB's analytical workloads in high-throughput, column-oriented query scenarios. It is a relevant open-source peer for DuckDB.
Emerging players
- Rill Data: Rill Data is an emerging analytics tool built directly on DuckDB, providing dashboards and operational analytics. It is an emerging ecosystem player that extends DuckDB's reach into BI/dashboarding use cases and is a relevant collaboration peer.
- Timescale: Timescale builds a time-series and analytical database (TimescaleDB / Tiger Cloud) that overlaps with DuckDB on analytical workloads, particularly for time-series and observability data. It is an emerging peer in adjacent analytical niches.
Broad incumbents
- Google BigQuery: BigQuery is Google Cloud's serverless cloud data warehouse and lakehouse service. It is a broad incumbent that competes with DuckDB for analytical workloads, especially where managed, scalable, multi-tenant infrastructure is required.
- Databricks: Databricks is a broad lakehouse platform that both competes with DuckDB/DuckLake for analytical workloads and collaborates with DuckDB through integrations. As a large incumbent, it overlaps in lakehouse and OLAP categories but does not specialize in the embedded niche.
- Snowflake: Snowflake is the dominant cloud data warehouse platform that DuckDB explicitly positions against for single-user and embedded analytical workloads. It is a broad incumbent in the analytical data infrastructure space.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat5 records
Key risks6 records
Key highlights6 records
Customer concentration
DuckDB Labs social profiles
Digital presenceDuckDB Labs financial estimates
Financial estimateRevenue estimate
Valuation estimate
DuckDB Labs leadership team
Management profileNumber of profiles
DuckDB Labs funding detail
Funding detailFunding overview
Funding rounds
Investors
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
DuckDB Labs M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about DuckDB Labs
What does DuckDB Labs do?
DuckDB Labs provides enterprise services for the DuckDB open-source analytical database, including SLA-backed enterprise support, technical advisory, custom feature development, and engineering collaboration. The company builds and maintains DuckDB, an in-process OLAP database with columnar storage and vectorized execution, and has developed the DuckLake lakehouse format specification to address inefficiencies in lakehouse implementations built on open table formats.
Is DuckDB Labs a public or private company?
DuckDB Labs is a private company. It is classified as founder individual operated bootstrapped and is currently operating.
When was DuckDB Labs founded?
DuckDB Labs was founded in 2021. It employs 11 to 50 people.
Where is DuckDB Labs based?
DuckDB Labs is headquartered in Amsterdam, Netherlands, in the Europe region.
How does DuckDB Labs make money?
Four revenue lines are on record. Enterprise Support is the primary driver. The others are technical Advisory Services, feature Development and engineering Collaboration.
Who are DuckDB Labs's main competitors?
Direct peers on record are ClickHouse, MotherDuck, StarRocks, SingleStore and Apache Druid. Emerging players are Rill Data and Timescale. Broad incumbents are Google BigQuery, Databricks and Snowflake.
Does DuckDB Labs have an API?
No public API is recorded for DuckDB Labs.
What industry is DuckDB Labs in?
DuckDB Labs's product category is Analytical Database Software. Its primary akta.pro industry code is HDAEABAB, Lakehouse Platforms, with a secondary code of HDAEABAL, Data Warehouse/Lakehouse Performance Optimization & Cost Management. Its NAICS code is 51821.