MotherDuck’s cover photo
MotherDuck

MotherDuck

Data Infrastructure and Analytics

Data warehouse scaling in the cloud to make big data feel small using the speed, efficiency and ergonomics of DuckDB.

About us

Making analytics fun, frictionless and ducking awesome with a cloud data warehouse based on DuckDB's efficiency, ergonomics and performance in collaboration with the folks at DuckDB Labs.

Website
https://xmrrwallet.com/cmx.pmotherduck.com
Industry
Data Infrastructure and Analytics
Company size
11-50 employees
Headquarters
Seattle
Type
Privately Held
Founded
2022

Locations

Employees at MotherDuck

Updates

  • This is lining up to be an amazing crew of speakers across the Data + AI stack, with everyone focused on efficiently working with data (making big data *feel* small). Early bird sales end in a week, so register today for 2 days in SF: one day of workshops followed by a day of talks with industry luminaries like Benn Stancil, Adi Polak, George Fraser, Holden Karau, Joe Reis, Shelby Heinecke, PhD, Tristan Handy, Barry McCardel, Ravin Kumar, Jordan Tigani, Sam Alexander, Scott Haines, Sahil Gupta

  • Excited to see all this great work that Vikram and the Foursquare team are doing around GIS and DuckDB. 🗺️ 🦆

    View profile for Vikram Gundeti

    CTO - Foursquare, Founding Engineer - Amazon Alexa

    𝗜𝗻𝘁𝗿𝗼𝗱𝘂𝗰𝗶𝗻𝗴 𝘁𝗵𝗲 𝗙𝗦𝗤 𝗦𝗽𝗮𝘁𝗶𝗮𝗹 𝗣𝗿𝗼𝗱𝘂𝗰𝘁 𝗙𝗮𝗺𝗶𝗹𝘆: 𝘚𝘱𝘦𝘤𝘪𝘢𝘭𝘪𝘻𝘦𝘥 𝘎𝘦𝘰𝘴𝘱𝘢𝘵𝘪𝘢𝘭 𝘛𝘰𝘰𝘭𝘴 𝘧𝘰𝘳 𝘌𝘷𝘦𝘳𝘺 𝘋𝘢𝘵𝘢 𝘗𝘳𝘰𝘧𝘦𝘴𝘴𝘪𝘰𝘯𝘢𝘭 BI analysts, data scientists, and GIS professionals each have unique workflows for interacting with geospatial data, but solutions in the geospatial domain predominantly use a one-size-fits-all approach. Today, we're launching a comprehensive product suite with tools designed specifically for each: 𝗙𝗦𝗤 𝗦𝗽𝗮𝘁𝗶𝗮𝗹 𝗪𝗼𝗿𝗸𝗯𝗲𝗻𝗰𝗵 - 𝘍𝘰𝘳 𝘉𝘐 𝘈𝘯𝘢𝘭𝘺𝘴𝘵𝘴 SQL-first spatial analysis with pre-provisioned compute infrastructure. Go from business data to interactive Kepler.gl maps and dashboards without the complexity of traditional GIS interfaces. 𝗙𝗦𝗤 𝗦𝗽𝗮𝘁𝗶𝗮𝗹 𝗛3 𝗛𝘂𝗯 - 𝘍𝘰𝘳 𝘋𝘢𝘵𝘢 𝘚𝘤𝘪𝘦𝘯𝘵𝘪𝘴𝘵𝘴 An Iceberg catalog with 20+ open geospatial datasets in raster and vector formats transformed into H3 indexed tabular data. Transform simple lat/long coordinates into rich demographic, economic, and environmental features for AI/ML models—no geospatial expertise required. Built on DataHub, our H3 Hub offers a unique take on data catalogs where all the datasets are connected with a unifying theme. 𝗙𝗦𝗤 𝗦𝗽𝗮𝘁𝗶𝗮𝗹 𝗗𝗲𝘀𝗸𝘁𝗼𝗽 - 𝘍𝘰𝘳 𝘎𝘐𝘚 𝘗𝘳𝘰𝘧𝘦𝘴𝘴𝘪𝘰𝘯𝘢𝘭𝘴 Kepler.gl visualization freed from browser limitations, paired with native DuckDB for sub-second spatial queries on multi-gigabyte datasets. Built on the open-source SQLRooms framework for community-driven extensibility, this offering enables complete data sovereignty with desktop computing power. 𝗙𝗦𝗤 𝗦𝗽𝗮𝘁𝗶𝗮𝗹 𝗦𝘁𝘂𝗱𝗶𝗼 - 𝘍𝘰𝘳 𝘔𝘢𝘱 𝘔𝘢𝘬𝘦𝘳𝘴 Free visualization playground that bridges our advanced Kepler.gl fork with the open-source community. Part of our renewed commitment to open standards. Built on proven open-source foundations (H3, DuckDB, Kepler.gl, SQLRooms), these tools work with each practitioner's existing workflow, making geospatial intelligence more accessible. Special thanks to Jordan Tigani & Scott Mendelson from the MotherDuck team and Swaroop Jagadish & Shirshanka Das from the DataHub team for their invaluable partnership in enabling this launch. Checkout our launch announcement and get started on our new products (links in comments)

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  • Yes, early bird is about to close for our Small Data SF conference, but we still want to give a shout out about this other fall event. Join us at the Modern Data Infra conference hosted by our friends at Dragonfly.

    View profile for Ryan Boyd 🐤

    Co-Founder @ MotherDuck; Developer Experience exec; Previously: Databricks, Neo4j, Google Cloud

    📆  Sept 18th in SF 📆  I'll be talking about DuckLake [Scaling Data Lakes to Warehouse Performance] at the Modern Data Infra conference~! The other speakers are special -- most notably Andy Pavlo, CMU database professor extraordinaire. Register today. Link in thread.

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  • MotherDuck reposted this

    View profile for Ryan Boyd 🐤

    Co-Founder @ MotherDuck; Developer Experience exec; Previously: Databricks, Neo4j, Google Cloud

    Last year we hosted our first Small Data SF conference with ~250 people in attendance to talk about how we can be more efficient with data and AI infrastructure and applications. It was the culmination of our ideas for the data industry two years into building MotherDuck. We had a stellar lineup of talks, workshops and attendees. The response was overwhelming, with one attendee saying "the lineup was unbeatable, the content was razor-sharp, and the people were next-level inspiring" and another saying "one of the most interesting conferences I've ever been to." As we prepare to host our second Small Data SF this November 4th and 5th, I want to share a video recap of how it felt to be at the event. This year will be even better, with a stronger focus on workshops and an all-star speaker lineup. Early bird pricing ends Monday August 4th for those interested in joining us! Link in 🧵

  • We're always delighted to hear great things from customers using our product, and doubly excited when those customers are using it to do good in the world. Thanks to Dave for sharing his thoughts on how DoSomething replaced Postgres with MotherDuck for analytics and empowered their whole company with self-serve analytics while dramatically reducing costs. We're looking forward to Sahil speaking at Small Data SF in November!

  • MotherDuck reposted this

    View profile for Jacob Matson

    Dev Advocate at MotherDuck

    𝗪𝗿𝗶𝘁𝗶𝗻𝗴 𝗦𝗤𝗟 𝗶𝘀 𝗮 𝘁𝗲𝗿𝗿𝗶𝗯𝗹𝗲 𝗲𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲. It's constant loops of: write → wait → debug. But at MotherDuck we believe there can be a better way. By combining 𝗜𝗻𝘀𝘁𝗮𝗻𝘁 𝗦𝗤𝗟 + 𝗖𝗺𝗱 𝗞, you get write your SQL with natural language and get feedback, instantly. The first time I saw the demo was honestly amazing!! 🤯🤯 You can see embedded here or head over to MotherDuck to check it out yourself.

  • MotherDuck reposted this

    Trunkrs orchestrates a network of idle vehicles to create a same-day delivery network for perishable goods. Migrating from Redshift to MotherDuck (in concert with Looker, Dagster Labs and dbt) they achieved: ⚡ Faster decision-making - Morning performance meetings transformed from sluggish query experiences to dynamic problem-solving sessions, enabling teams to drill deeper into issues and identify root causes more quickly 🔄 Improved operational efficiency - Faster query response times created a virtuous cycle where quicker data access led to deeper analysis, better problem identification, and fewer repeated mistakes day-to-day 🛠️ Reduced infrastructure overhead - Eliminated the constant optimization work required with Redshift while aligning with their serverless engineering philosophy, allowing data engineers to focus on insights rather than database tuning 📊 Significant data migration progress - Successfully migrated approximately 30% of their 2TB data warehouse with plans for additional cost savings as migration completes Full story: https://xmrrwallet.com/cmx.plnkd.in/d5nwPgeM

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  • View organization page for MotherDuck

    23,117 followers

    🦆 Interested in DuckLake? Join us this Thursday to learn practical approaches for loading data efficiently. DuckLake is gaining traction, and for good reason. But implementing it effectively requires understanding how to handle your data pipelines. In this webinar, we'll cover: → What DuckLake is and its key advantages for analytics teams → Common challenges with loading real-time and batch data → How Estuary simplifies data streaming from databases, SaaS tools, and event streams → Live demo of building a working pipeline Perfect for data engineers and analysts evaluating or implementing DuckLake. 🗓️ This Thursday 🔗 Register: https://xmrrwallet.com/cmx.plnkd.in/d9Uacr42

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  • MotherDuck reposted this

    🦆 Interested in DuckLake? Join us this Thursday to learn practical approaches for loading data efficiently. DuckLake is gaining traction, and for good reason. But implementing it effectively requires understanding how to handle your data pipelines. In this webinar, we'll cover: → What DuckLake is and its key advantages for analytics teams → Common challenges with loading real-time and batch data → How Estuary simplifies data streaming from databases, SaaS tools, and event streams → Live demo of building a working pipeline Perfect for data engineers and analysts evaluating or implementing DuckLake. 🗓️ This Thursday 🔗 Register: https://xmrrwallet.com/cmx.plnkd.in/d9Uacr42

    • No alternative text description for this image
  • 🦆 Interested in DuckLake? Join us this Thursday to learn practical approaches for loading data efficiently. DuckLake is gaining traction, and for good reason. But implementing it effectively requires understanding how to handle your data pipelines. In this webinar, we'll cover: → What DuckLake is and its key advantages for analytics teams → Common challenges with loading real-time and batch data → How Estuary simplifies data streaming from databases, SaaS tools, and event streams → Live demo of building a working pipeline Perfect for data engineers and analysts evaluating or implementing DuckLake. 🗓️ This Thursday 🔗 Register: https://xmrrwallet.com/cmx.plnkd.in/d9Uacr42

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Funding

MotherDuck 3 total rounds

Last Round

Series B

US$ 52.5M

See more info on crunchbase