Blog
Elementl Raises $33 Million in Series B Funding to Accelerate Data Orchestration and Unleash Advanced Data Use Cases

Elementl Raises $33 Million in Series B Funding to Accelerate Data Orchestration and Unleash Advanced Data Use Cases

May 24, 2023
Elementl Raises $33 Million in Series B Funding to Accelerate Data Orchestration and Unleash Advanced Data Use Cases
Elementl Raises $33 Million in Series B Funding to Accelerate Data Orchestration and Unleash Advanced Data Use Cases

The new capital will accelerate the development and adoption of Dagster, the open-source, cloud-native data orchestrator.

Today, Elementl is pleased to announce the close of its $33mm series B led by Georgian with participation by new investors 8VC, Human Capital, Hanover, and existing investors Sequoia, Index, Amplify and Slow. The new capital will accelerate the development and adoption of Dagster, the open-source, cloud-native data orchestrator.

“We are thrilled to partner with Georgian as we enter this next stage of growth for the company. We continue to see strong adoption of Dagster, both as an open-source solution and as a commercial Cloud offering,” said Pete Hunt, CEO at Elementl.

Note: In August 2023 Elementl, Inc. was renamed **[Dagster Labs](/blog/introducing-dagster-labs)**.

Machine learning, data science, and business analytics are revolutionizing businesses of all sizes across every industry. But data and machine learning teams struggle to manage the complexity of their data pipelines and infrastructure.

Data orchestration is the foundation of the data platform, and is responsible for defining, running, observing and deploying data pipelines.  However, most solutions for data orchestration do not embrace modern engineering standards, nor do they support the full development lifecycle, leaving data and machine learning teams struggling to adopt best practices such as DevOps.

While senior leaders see the transformational potential of new data applications and feel the urgency to adopt these new capabilities in their business, data teams cannot move fast enough to get these into production.

Founded by Nick Schrock in 2018, Elementl is building the Dagster open-source project to solve these problems and unlock the enormous potential value of data in industries such as insurance, finance, healthcare, biotech, retail, and academia. Dagster Cloud, Elementl’s first commercial product, launched to General Availability in the summer of 2022 and empowered Dagster open-source users with additional capabilities such as branch deployments, enterprise access control, and a variety of hosted options including Hybrid and Serverless.

Despite the challenging macroeconomic environment, the data category has remained strong.

“We're excited to partner with the Elementl team, and we see Dagster as a critical enabler for data teams looking to build robust, high-performing data pipelines and machine learning applications. Our R&D team adopted Dagster for data orchestration over a year ago after an evaluation of the solutions in the space. We've been impressed with how Dagster has accelerated our Engineering team's productivity and ability to efficiently ship production-grade data pipelines.” said Emily Walsh, lead investor at Georgian.

The new capital will allow Elementl to scale go-to-market activities and continue its rapid product evolution.

“Dagster was built from the ground up to provide a transformative developer experience while supporting the most demanding use cases in data engineering. Our unique abstractions and asset-first approach are really resonating with data practitioners, and we're seeing this play out in our key growth metrics,” said Nick Schrock, founder and CTO at Elementl.

The adoption of Dagster has grown rapidly since the GA release.  In the last twelve months:

  • The number of active Dagster projects has tripled.
  • The Dagster open-source community has grown by over 3X.
  • Community participation on GitHub has doubled, with more users contributing code, ideas and issue comments.

Global businesses including Doordash, Flexport, and Aritzia are choosing Dagster for everything from deploying ETL pipelines for analytics teams, all the way to developing production machine learning models that are core to their products.

Dagster is not just the emerging leader in greenfield data platforms. It is increasingly attracting users who are migrating off of legacy technologies such as Apache Airflow. In January, the Elementl team lowered the barrier to migrating by releasing new tooling which allows users to run data pipelines written for Apache Airflow directly on Dagster.

One example of such a migration is the technology-driven financial services company Group 1001. With the new tooling, they were able to migrate all of their Airflow pipelines to Dagster in just two weeks. In doing so, they achieved much faster development velocity to help meet the organization's data requirements. “We can deliver more insight, and we can deliver faster value. Because speed is what we care about,” said Gu Xie, Head of Data Engineering at Group 1001.

Interested parties can try out Dagster for free by either running the open-source project, or signing up for a trial at https://dagster.io/

For more information please contact:

Elementl: Fraser Marlow, Head of Marketing, fraser@elementl.com

Georgian: David Poole, Head of Marketing, david@georgian.io

About Elementl

Elementl was founded on the vision of bringing much-needed improvements to the domain of data engineering by tackling some of the more challenging components of the toolset.  Elementl’s first endeavor was Dagster, a fundamental reinvention of data orchestration, starting from first principles and introducing opinionated and innovative approaches.  Elementl was founded in 2018 by Nick Schrock, who currently serves as CTO after appointing Pete Hunt CEO in November 2022.

About Georgian

At Georgian, we invest in high-growth B2B software companies that harness the power of data in a trustworthy way. Our technology platform identifies and accelerates the best growth-stage software companies. We believe that a digital approach can provide a better experience of growth capital to software company CEOs and their teams. Based in Toronto, Georgian’s team brings together software entrepreneurs, machine learning experts, experienced operators and investment professionals.

Media:

Corporate logos:
Executives:
Elementl product photos

Download: Dagster 'Deployment' view showing data assets with lineage.

Download: Dagster 'Run' view of a data pipeline executing.

Download: Dagster 'Timeline' view showing the materialization of data assets over time.

Elementl team photo

Elementl team photograph (Jan 2023)

Have feedback or questions? Start a discussion in Slack or Github.

Interested in working with us? View our open roles.

Want more content like this? Follow us on LinkedIn.

Dagster Newsletter

Get updates delivered to your inbox

Latest writings

The latest news, technologies, and resources from our team.

Multi-Tenancy for Modern Data Platforms
Webinar

April 13, 2026

Multi-Tenancy for Modern Data Platforms

Learn the patterns, trade-offs, and production-tested strategies for building multi-tenant data platforms with Dagster.

Deep Dive: Building a Cross-Workspace Control Plane for Databricks
Webinar

March 24, 2026

Deep Dive: Building a Cross-Workspace Control Plane for Databricks

Learn how to build a cross-workspace control plane for Databricks using Dagster — connecting multiple workspaces, dbt, and Fivetran into a single observable asset graph with zero code changes to get started.

Dagster Running Dagster: How We Use Compass for AI Analytics
Webinar

February 17, 2026

Dagster Running Dagster: How We Use Compass for AI Analytics

In this Deep Dive, we're joined by Dagster Analytics Lead Anil Maharjan, who demonstrates how our internal team utilizes Compass to drive AI-driven analysis throughout the company.

Announcing the Dagster+ Terraform Provider
Announcing the Dagster+ Terraform Provider
Blog

April 28, 2026

Announcing the Dagster+ Terraform Provider

The Dagster+ Terraform provider lets platform teams manage deployments, access controls, alerting, and more as code. Define entire environments declaratively, review changes through pull requests, and integrate Dagster+ into your existing infrastructure workflows.

The Missing Half of the Enterprise Context Layer
The Missing Half of the Enterprise Context Layer
Blog

April 22, 2026

The Missing Half of the Enterprise Context Layer

AI agents that only understand business definitions without knowing whether the underlying pipeline actually succeeded are confidently wrong and operational context from the orchestrator is the missing piece.

How to Orchestrate Across Multiple Databricks Workspaces Without Losing Your Mind
How to Orchestrate Across Multiple Databricks Workspaces Without Losing Your Mind
Blog

April 20, 2026

How to Orchestrate Across Multiple Databricks Workspaces Without Losing Your Mind

Once your pipelines span multiple Databricks workspaces, you're no longer orchestrating a single system you're coordinating a distributed one.

How Magenta Telekom Built the Unsinkable Data Platform
Case study

February 25, 2026

How Magenta Telekom Built the Unsinkable Data Platform

Magenta Telekom rebuilt its data infrastructure from the ground up with Dagster, cutting developer onboarding from months to a single day and eliminating the shadow IT and manual workflows that had long slowed the business down.

Scaling FinTech: How smava achieved zero downtime with Dagster
Case study

November 25, 2025

Scaling FinTech: How smava achieved zero downtime with Dagster

smava achieved zero downtime and automated the generation of over 1,000 dbt models by migrating to Dagster's, eliminating maintenance overhead and reducing developer onboarding from weeks to 15 minutes.

Zero Incidents, Maximum Velocity: How HIVED achieved 99.9% pipeline reliability with Dagster
Case study

November 18, 2025

Zero Incidents, Maximum Velocity: How HIVED achieved 99.9% pipeline reliability with Dagster

UK logistics company HIVED achieved 99.9% pipeline reliability with zero data incidents over three years by replacing cron-based workflows with Dagster's unified orchestration platform.

Modernize Your Data Platform for the Age of AI
Guide

January 15, 2026

Modernize Your Data Platform for the Age of AI

While 75% of enterprises experiment with AI, traditional data platforms are becoming the biggest bottleneck. Learn how to build a unified control plane that enables AI-driven development, reduces pipeline failures, and cuts complexity.

Download the eBook on How to Scale Data Teams
Guide

November 5, 2025

Download the eBook on How to Scale Data Teams

From a solo data practitioner to an enterprise-wide platform, learn how to build systems that scale with clarity, reliability, and confidence.

Download the eBook Primer on How to Build Data Platforms
Guide

February 21, 2025

Download the eBook Primer on How to Build Data Platforms

Learn the fundamental concepts to build a data platform in your organization; covering common design patterns for data ingestion and transformation, data modeling strategies, and data quality tips.

AI Driven Data Engineering
Course

March 19, 2026

AI Driven Data Engineering

Learn how to build Dagster applications faster using AI-driven workflows. You'll use Dagster's AI tools and skills to scaffold pipelines, write quality code, and ship data products with confidence while still learning the fundamentals.

Dagster & ETL
Course

July 11, 2025

Dagster & ETL

Learn how to ingest data to power your assets. You’ll build custom pipelines and see how to use Embedded ETL and Dagster Components to build out your data platform.

Testing with Dagster
Course

April 21, 2025

Testing with Dagster

In this course, learn best practices for testing, including unit tests, mocks, integration tests and applying them to Dagster.

No items found.