Sep 20, 2022
Dagster vs. Airflow
We often get asked why a data team should choose Dagster over Apache Airflow. We compare Dagster and Airflow for data orchestration, in five parts.
Nov 30, 2022
Getting Stuff Done: a Guide to Productive Software Engineering
To be a more productive software engineer you need to master changes, how these affect the program and others on the ...
Nov 21, 2022
Safe and Easy: Managing Secrets in Dagster Cloud
Dagster Cloud’s new Environment Variables UI makes it easy to set up scoped environment variables.
Nov 18, 2022
My Path to Elementl - Part 2
Pete Hunt takes over as CEO as Nick Schrock takes on the CTO role.
Nov 11, 2022
Pushing REST-API data to Google Sheets with Dagster
A total beginners tutorial in which we store REST API data in Google Sheets and learn some key abstractions.
Nov 7, 2022
Adding types to a large Python codebase
We decided to drive Dagster to a 100%-typed public interface. This turned out to be a significant undertaking. Lessons ...
Nov 2, 2022
Running data science notebooks with Dagster: a Noteable integration
The Noteable team adds major powerups for data scientists looking to orchestrate Notebooks with Dagster
Oct 31, 2022
Orchestrating Machine Learning Pipelines with Dagster
To boost your ML efforts, improve your pipeline as well as your model.
Oct 27, 2022
Orchestrating Data Science at Zephyr AI
Zephyr AI applies data science to massive datasets of DNA and healthcare records to deliver novel AI-driven insights.
Oct 25, 2022
Build a poor man’s data lake from scratch with DuckDB
DuckDB is so hot right now. Could it replace our cloud data warehouses or data lakes?
Oct 19, 2022
The Unreasonable Effectiveness of Data Pipeline Smoke Tests
Data practitioners waste time writing unit tests to catch bugs they could have caught with smoke tests.
Oct 17, 2022
Web workers are not the answer
A tale of overstretched logs, counterintuitive web worker behavior, and ultimately a troublesome cursor issue.
Oct 16, 2022
Dagster at all 5 steps of the development lifecycle
Dagster facilitates a data engineers work across all five steps in the development lifecycle.
Oct 6, 2022
A Dagster Crash Course
If you are looking to get up and running with Dagster in 10 minutes or less, this is a good place to start. Buckle up.
Oct 4, 2022
Postgres: a better message queue than Kafka?
When lots of event logs must be stored and indexed, Kafka is the obvious choice. Naturally, our queue runs on Postgres.
Aug 24, 2022
How EvolutionIQ rebuilt its ML platform for enormous productivity.
A guide for CIOs/CTOs and engineering leaders looking to master the Modern Data Stack and develop a high performance ...
Aug 18, 2022
Our Pricing Philosophy for Dagster Cloud
Our straightforward usage-based pricing aims to encourage practitioners to work with the framework, not against it.
Aug 17, 2022
Spend less time debugging with Dagster
It’s not uncommon for a data engineer to devote 80% of their day to debugging. Dagster radically improves on this.
Aug 9, 2022
Launching Dagster Cloud to GA
The enterprise orchestration platform that puts developer experience first: hybrid or serverless deployments, native ...
Aug 5, 2022
Introducing Dagster 1.0: Hello
Announcing Dagster 1.0. - a stable foundation for building the orchestration layer for modern data platforms.
Aug 3, 2022
The Open Core Business Model
The relationship between Dagster, the open-source project, and Dagster Cloud, our hosted SaaS platform.
Jul 26, 2022
Dagster Cloud goes SOC 2
Elementl, the company behind the Dagster data orchestration tool achieves SOC2 compliance.
Jul 25, 2022
Dagster Day: Announcing Dagster 1.0 and Dagster Cloud
The release of Dagster 1.0 and the GA launch of Dagster Cloud represent major milestones in the evolution of our ...
Jul 12, 2022
Roman roads in data engineering: don't write data pipelines from scratch
Work in a way that lays the foundation for your next data product while you're building your current one.
Jun 23, 2022
The Data Exchange: software-defined assets
Nick Schrock on software-defined assets, a new approach to managing, maintaining, and orchestrating data declaratively.
Jun 22, 2022
My Path to Elementl: Pete Hunt
Pete Hunt discusses what caused him to make the leap from Twitter to Elementl.
Jun 20, 2022
Orchestrating Python and dbt with Dagster
How asset-focused orchestration bridges the gap between some of data's most popular tools.
Jun 15, 2022
Dagster 0.15.0: Cool for the Summer
In 0.15.0, software-defined assets are now marked fully stable and are ready for primetime.
Mar 9, 2022
New in 0.14.0: Dagster-Airbyte Integration
0.14.0 introduces a deep integration with Airbyte: view Airbyte logs directly in Dagit, and every updated table will be ...
Mar 1, 2022
Introducing Software-Defined Assets
Software-Defined Assets are a transformative new abstraction that allows data teams to focus on the end-product not the ...
Mar 1, 2022
Dagster 0.14.0: Table Schema API + Pandera Integration
Introducing two asset observability-enhancing features: Table Schema API, and an integration with the dataframe ...
Mar 1, 2022
Dagster 0.14.0: Never Felt Like This Before
We’re thrilled to release version 0.14.0 of Dagster. This version introduces much more mature version of ...
Feb 17, 2022
Rebundling the Data Platform
'The Unbundling of Airflow' argued that modern data stack solutions (data ingestion, data transformation, reverse ETL) ...
Dec 2, 2021
Introducing Dagster Cloud
Dagster Cloud, the enterprise orchestration platform that puts developer experience first, with fully serverless or ...
Nov 20, 2021
Laying the foundation of your data platform for the era of big complexity
Listen to founder and CEO Nick Schrock talk about how Dagster helps tame the complexity and scale when working with ...
Nov 17, 2021
Hello Big Complexity: Is Your Modern Data Stack Ready?
Listen to Nick Schrock discuss the evolution of data from Big Data to Big Complexity in this episode of the Mad Data ...
Nov 16, 2021
Why Elementl and Dagster: The Decade of Data
Announcing our $14M Series A led by Index Ventures, alongside Sequoia Capital, Slow Ventures, Coatue, Amplify Partners, ...
Nov 8, 2021
New in Dagster 0.13.0: Logging Improvements!
Logging without context, instance-wide handlers, capturing python logs, and more! Learn about the improvements we've ...
Oct 28, 2021
Dagster 0.13.0: A New Foundation
We’re proud to announce 0.13.0 of Dagster with dramatic improvements to our core APIs, completely revamped UI, and ...
Aug 10, 2021
Community Memo: Moving Dagster's Core APIs Towards 1.0
Dagster commits to a stable set of production-ready APIs for building solid data platforms.
Jul 19, 2021
Dagster 0.12.0: Into the Groove
In 0.12.0, we introduce pipeline failure sensors, solid-level retries, and more convenient testing APIs.
May 25, 2021
Community Memo: Approachability Improvements
In the last two months, we've made a set of changes aimed at making Dagster more approachable: to smooth out its ...
May 18, 2021
Incrementally Adopting Dagster at Mapbox
At Mapbox, we've adopted Dagster without breaking compatibility with our legacy Airflow systems -- and with huge gains ...
May 13, 2021
Moving past Airflow: Why Dagster is the next-generation data orchestrator
A comparison between Dagster and Airflow. Here we detail the differences between the two systems, and make the case for ...
Apr 1, 2021
Dagster 0.11.0: Lucky Star
In 0.11.0, we introduce dynamic orchestration, a new backfill UI, and support for tracking asset lineage.
Mar 15, 2021
Building shared spaces for data teams at Drizly
Our small data infrastructure team built a data platform that supports users with different skillsets, letting anyone ...
Jan 19, 2021
Dagster 0.10.0: The Edge of Glory
In 0.10.0, we introduce unique event-based scheduling capabilities, hardened deployments on Kubernetes, and new ...
Dec 9, 2020
Good Data at Good Eggs: Using Dagster to manage the data platform
Running pipelines is only part of running a data platform. We need to manage the platform and control technical debt. ...
Nov 5, 2020
Good Data at Good Eggs: Data observability with the asset catalog
Dagster gives us a single "pane of glass" for data assets. Analysts can look up when a Stitch raw data ingest occurred, ...
Oct 29, 2020
Dagster and dbt: Better Together
People sometimes ask us — should I use Dagster, or should I use dbt? We view Dagster and dbt as complementary ...
Oct 1, 2020
Good Data at Good Eggs: Data infrastructure correctness and reliability
Dagster’s custom data types helped achieve correctness and reliability in our data ingest process, less downstream ...
Oct 1, 2020
Good Data at Good Eggs: Part 1 of 4
Adopting Dagster transformed our data platform team. We hope our experience is encouraging to other teams facing ...
Sep 16, 2020
Testing and Deploying PySpark Jobs with Dagster
Spark has a beautiful API but developing with it is a pain because different stages of development and deployment ...
Sep 15, 2020
Community Memo: September 2020 Update
A retrospective of our 0.9.0 release, a preview of our 0.10.0 roadmap, and Prezi's journey from a homegrown ...
Sep 10, 2020
Great Expectations for Dagster
We’re thrilled to announce a new integration between Dagster and a fellow open-source project, Great Expectations (GE).
Aug 25, 2020
Forward Thinking Leaders
Nick Schrock shares insights on how to on how to sell new tech concepts to developers.
Aug 11, 2020
Dagster: The Data Orchestrator
As a workflow engine, Dagster moves beyond ordering and executing data computations. It introduces a new primitive: a ...
Feb 26, 2020
Dagster 0.7.0: Waiting To Exhale
With 0.7.0 we set out improve the Dagster experience with large, production-scale pipelines, deployable to Kubernetes.
Oct 10, 2019
Dagster 0.6.0: Impossible Princess
Dagster 0.6.0 comes “batteries-included” and pluggable options to execute, monitor, schedule, deploy, and debug your ...
Jul 8, 2019
Elementl announces an early release of Dagster, an open-source library for building ETL processes, ML pipelines and ...