Software & technology

Ship faster,
scale confidently

Deliver features and data products in hours not weeks while minimizing risk of rework or breaking fragile architectures.

Dagster for software and technology companies
0
%
Reduction in testing costs
0
%
Elimination in manual work

Data engineers can have nice things too

Dagster gives modern, high‑growth, software teams asset-aware orchestration with actionable observability to cut pipeline toil, surface lineage automatically, and go from pull‑request to production with confidence.

Ship faster, scale confidently

Deliver workflows in minutes, not weeks, and without breakage. Fewer rollbacks, less on-call, and faster changes gives your team the momentum to move business goals.

Observability you can act on

Cut downtime and guesswork by visualizing pipelines across teams. Identify issues and opportunities faster, to protect your SLAs, budget, and team morale.

Accelerate high-impact projects

Prioritize big ideas and impactful projects over daily maintenance. Ship reliable data/ML features faster, with safe experiments and governance built in.

Scale your organization

Grow from one to many, without chaos or added complexity. Start small, standardize fast, and scale to cross-functional teams on one data platform.

Vanta uses Dagster

Vanta eliminated data bottlenecks with a unified control plane

Vanta was spending time managing a fragmented data stack with cron-based scheduling that led to frequent data delays with no central visibility. Dagster’s asset-based approach provided a single pane of glass, helping Vanta ship reliable data faster.

From 7-hour latency to near real-time
From constant escalations to self-service

Deliver your roadmap at
full speed

Reduce risk, boost velocity, and standardize data workflows on a platform that scales with your organization. Get started today with a free trial or book a demo to see Dagster in action.

Additional resources

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

Multi-Tenancy for Modern Data Platforms
Webinar

April 7, 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.

DataOps with Dagster: A Practical Guide to Building a Reliable Data Platform
DataOps with Dagster: A Practical Guide to Building a Reliable Data Platform
Blog

March 17, 2026

DataOps with Dagster: A Practical Guide to Building a Reliable Data Platform

DataOps is about building a system that provides visibility into what's happening and control over how it behaves

Unlocking the Full Value of Your Databricks
Unlocking the Full Value of Your Databricks
Blog

March 12, 2026

Unlocking the Full Value of Your Databricks

Standardizing on Databricks is a smart strategic move, but consolidation alone does not create a working operating model across teams, tools, and downstream systems. By pairing Databricks and Unity Catalog with Dagster, enterprises can add the coordination layer needed for dependency visibility, end-to-end lineage, and faster, more confident delivery at scale.

Announcing AI Driven Data Engineering
Announcing AI Driven Data Engineering
Blog

March 5, 2026

Announcing AI Driven Data Engineering

AI coding agents are changing how data engineers work. This Dagster University course shows how to build a production-ready ELT pipeline from prompts while learning practical patterns for reliable AI-assisted development.

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 e-book primer on how to build data platforms
Guide

February 21, 2025

Download the e-book 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.