A data platform you can bet money on

Build a modern data platform you can trust with Dagster’s best-in-class orchestration, observability, and reliability. Put your ML models to work with a unified view across all your data assets.

Your data should pay dividends

Revenue, P&L, and accounts receivables are never fixed datasets. It’s constantly changing everyday, and finance is forced to manually pull data from all sources.

Data breaks when the chart of accounts changes

Finance teams update their chart of accounts or dimensions regularly—yet the underlying pipelines aren’t modular, leading to broken reports and delays in close.

Too many manual checks before generating reports

Before reporting to leadership, teams manually compare numbers across systems (ERP, billing, spreadsheets) to catch discrepancies—wasting hours each month-end.

When numbers don’t match, no one knows why

If revenue or cost reports look off, teams have to reverse-engineer the entire pipeline across systems to find the issue. There’s no easy way to trace or debug it.

Pull data, run compliance workflows, push them to your report

Dagster automates pulls across all your financial tools, provides built in data QA to provide real-time financial oversight, and makes it easy for finance  to go into dagster, pull the data they need, and plug it into their reports.

Automate financial data pulls from your stack
Developers and data engineers can connect ERPs, invoices, banks feeds as normal
Run automated data QA checks

Ensure your stack is providing real-time financial data, you can schedule this daily, weekly, bi-weekly, monthly.
Know exactly where the data discrepancies are
Zone in on where failed runs happen, why they happen—Seasily push to your data team to fix.

How a finance team automated their month-end close with Dagster

Zippi transformed their data operations by implementing Dagster, enabling better ML integration, improved pipeline monitoring, and enhanced collaboration across teams. The Brazilian fintech startup's journey demonstrates how a unified data platform can eliminate silos while supporting incremental innovation and growth.

End-to-end orchestration and visibility
Dagster now automatically ingests data from NetSuite, Snowflake, and Excel sheets on a defined schedule.
Reduced data spend and expand
data capabilities
Built-in tests check for missing accounts, duplicate entries, or currency mismatches—before the data is used in reporting.

Start Your Data Journey Today

Unlock the power of data orchestration with our demo or explore the open-source version.

Latest writings

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.