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DuckDB

If you're considering DuckDB for your data platform, our free call allows you to ask our experts as many questions as you like in 60 mins.

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DuckDB is a fast, embedded analytical database that brings the power of SQL-based analytics directly to your applications and workflows, without the overhead of managing dedicated infrastructure. Combined with DuckLake, its open table catalog for data lakehouse workloads, DuckDB is becoming a serious contender for lightweight, cost-effective data platforms.

Discovery

Discovery

Jumpstart your DuckDB adoption with our battle tested process
Proof of Concept

Proof of Concept

Build the business case by implementing a scenario
Blueprints

Blueprints

De-risk your project and accelerate time to value
Delivery Squads

Delivery Squads

Team-per-week working to a deadline or budget
DataOps

DataOps

Improve the quality, speed, and security of data delivery
Data Science

Data Science

Iteration based innovation where new knowledge is always gained
Training

Training

Upskill your team with bespoke training tailored to your needs
Mentoring

Mentoring

Weekly "office hours" to help solve problems & make decisions
Skills Assessment

Skills Assessment

Understand your capabilities to plan for modernisation success

DuckDB & Polars Learning Paths

Curated learning paths covering DuckDB, DuckLake, and the Polars DataFrame library — from fundamentals to advanced patterns.

All DuckDB posts

Latest DuckDB blogs

Fabric Performance Benchmarking - Spark versus Python Notebooks

Fabric Performance Benchmarking - Spark versus Python Notebooks

Barry Smart

Benchmarking Pandas, PySpark, Polars, and DuckDB on Microsoft Fabric: in-process Python engines run 4-5x cheaper and faster than Spark for common workloads.
Top Features of Notebooks in Microsoft Fabric

Top Features of Notebooks in Microsoft Fabric

Jessica Hill

Lakehouse integration, built-in notebook resources, and collaboration features that set Microsoft Fabric notebooks apart from Jupyter and Databricks.
Big Data London 2025

Big Data London 2025

Barry Smart

AI agents dominated Big Data LDN 2025, but the real story wasn't the technology, it was which organisations could actually deploy it successfully. After five years tracking industry evolution through this event, one pattern emerged clearly: the winners had built their foundations first. For CTOs making platform decisions now, the strategic imperative isn't choosing between innovation and governance; it's recognizing that governance enables innovation at scale.
DuckLake in Perspective: Advanced Features and Future Implications

DuckLake in Perspective: Advanced Features and Future Implications

Barry Smart

Explore DuckLake's advanced capabilities including built-in encryption, sophisticated conflict resolution, and the strategic implications for future data architecture. Understand how DuckLake enables new business models and positions itself against established lakehouse formats.
DuckLake in Practice: Hands-On Tutorial and Core Features

DuckLake in Practice: Hands-On Tutorial and Core Features

Barry Smart

Get hands-on with DuckLake through a comprehensive tutorial covering installation, basic operations, file organization, snapshots, and time travel functionality. Learn how DuckLake's database-backed metadata management works in practice.
Introducing DuckLake: Lakehouse Architecture Reimagined for the Modern Era

Introducing DuckLake: Lakehouse Architecture Reimagined for the Modern Era

Barry Smart

DuckDB Labs introduces DuckLake, a revolutionary approach to lakehouse architecture that solves fundamental problems with existing formats by bringing database principles back to data lake metadata management.

From SMEs to global enterprises, we help organisations harness the full potential of their data.

We pride ourselves on our customer relationships. Here's what they had to say about us.

Often website quotes are full of token platitudes, however, hand on heart, endjin have been the most consistent, high quality partners I have ever used. One of the key highlights was help in designing an Azure solution to help process over 1.5B rows of data to display to the user in less then 3 seconds, with the help of endjin we had a solution in under 12 weeks.

It's the unique blend of commercial acumen, strategy awareness, deep technical ability and the willingness to call bullshit/not tolerate it, that makes endjin so special.

Endjin's experience & processes enabled us to move on from simply collecting data, to asking business questions, and gaining valuable insights, which allowed us to focus on the right business decisions.

We worked with Endjin as part of an ambitious project around consolidating and migrating data to a new stack and new processes. Their Microsoft Azure platform expertise, deep understanding of data strategy and management best practice and exemplary approach to insights completely changed how we thought about data. Our team is capable of things we would not have been able to do without their support.

At Juniper we had the opportunity to take a fresh look at our data strategy, and how we could help our customers get better value from the data they entrust us with. Endjin helped us shift how we thought about data, introduced us to end to end processes for establishing and delivering requirements, and helped us put the baseline technology platform in place along with some exemplar implementations. Endjin upskilled our team so we could stand alone on completion of the engagement.

We needed a quick answer about whether something was even possible with the data available. Endjin helped us to focus our hypothesis, then used Machine Learning experiments to cut the discovery down from months to weeks.

Bang for buck, endjin are the best value for money you can spend.

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Chat

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Call

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Email

Email

Or you can use good old fashioned email to drop us a line, hello@endjin.com