Audience

Companies looking for a next-gen data orchestration platform

About Dagster

Dagster is a next-generation orchestration platform for the development, production, and observation of data assets.

Unlike other data orchestration solutions, Dagster provides you with an end-to-end development lifecycle. Dagster gives you control over your disparate data tools and empowers you to build, test, deploy, run, and iterate on your data pipelines. It makes you and your data teams more productive, your operations more robust, and puts you in complete control of your data processes as you scale.

Dagster brings a declarative approach to the engineering of data pipelines. Your team defines the data assets required, quickly assessing their status and resolving any discrepancies. An assets-based model is clearer than a tasks-based one and becomes a unifying abstraction across the whole workflow.

Pricing

Starting Price:
$0
Pricing Details:
Pricing starts at $0.04/min for Serverless and $0.03/min for Hybrid, and tapers down from there based on usage.
Free Version:
Free Version available.
Free Trial:
Free Trial available.

Integrations

API:
Yes, Dagster offers API access

Ratings/Reviews

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Company Information

Dagster Labs
Founded: 2019
United States
dagster.io

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Product Details

Platforms Supported
Cloud
Windows
Mac
Linux
On-Premises
Training
Documentation
Support
24/7 Live Support
Online

Dagster Frequently Asked Questions

Q: What kinds of users and organization types does Dagster work with?
Q: What languages does Dagster support in their product?
Q: What kind of support options does Dagster offer?
Q: What other applications or services does Dagster integrate with?
Q: Does Dagster have an API?
Q: What type of training does Dagster provide?
Q: Does Dagster offer a free trial?
Q: How much does Dagster cost?
Q: What pricing for support is available for Dagster?
Q: What pricing for training is available for Dagster?

Dagster Product Features

Data Fabric

Data Analytics
Data Collaboration
Data Lineage Tools
Data Networking / Connecting
Metadata Functionality
Data Access Management
No Data Redundancy
Persistent Data Management

Data Management

Data Analysis
Data Integration
Data Migration
Match & Merge
Customer Data
Data Capture
Data Quality Control
Data Security
Information Governance
Master Data Management

ETL

Data Analysis
Data Filtering
Job Scheduling
Data Quality Control
Match & Merge
Metadata Management
Non-Relational Transformations
Version Control

Machine Learning

Model Training
Predictive Modeling
Statistical / Mathematical Tools
Deep Learning
ML Algorithm Library
Natural Language Processing (NLP)
Templates
Visualization

Dagster Additional Categories