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What is Prevision?

Developing a model is a fundamentally iterative endeavor that can take weeks, months, or even years, and it presents a variety of challenges, including the need to reproduce results, manage version control, and review past work. Documenting each stage of the modeling process and the rationale behind every decision is crucial for maintaining clarity and continuity. Instead of being an obscure file hidden away, a model should function as an open and accessible resource for all stakeholders to consistently review and assess. Prevision.io supports this goal by allowing you to log every experiment conducted during training, capturing its details, automated analyses, and the different versions that emerge as your project progresses, no matter if you are using our AutoML capabilities or your own approaches. You can easily test a wide range of feature engineering techniques and algorithm choices to develop models that excel in performance. With a single command, the system can investigate various feature engineering methods suited for different data types, such as tabular data, text, or images, ensuring that you maximize the value derived from your datasets while improving overall model efficacy. This extensive strategy not only simplifies the modeling workflow but also encourages collaboration and transparency among team members, leading to more innovative solutions. As a result, everyone involved can contribute to and learn from the modeling efforts, which enhances the quality of the final outcomes.

What is Dagster?

Dagster serves as a cloud-native open-source orchestrator that streamlines the entire development lifecycle by offering integrated lineage and observability features, a declarative programming model, and exceptional testability. This platform has become the preferred option for data teams tasked with the creation, deployment, and monitoring of data assets. Utilizing Dagster allows users to concentrate on executing tasks while also pinpointing essential assets to develop through a declarative methodology. By adopting CI/CD best practices from the outset, teams can construct reusable components, identify data quality problems, and detect bugs in the early stages of development, ultimately enhancing the efficiency and reliability of their workflows. Consequently, Dagster empowers teams to maintain a high standard of quality and adaptability throughout the data lifecycle.

Media

Media

Integrations Supported

Amazon Web Services (AWS)
Apache Spark
Azure Databricks
Azure Kubernetes Service (AKS)
Coginiti
Collate
DataHub
Databricks
Google Cloud Platform
Great Expectations
Jupyter Notebook
MLflow
Microsoft Azure
Microsoft Teams
OpenMetadata
PagerDuty
PostgreSQL
SkyStem ART
Twilio
dbt

Integrations Supported

Amazon Web Services (AWS)
Apache Spark
Azure Databricks
Azure Kubernetes Service (AKS)
Coginiti
Collate
DataHub
Databricks
Google Cloud Platform
Great Expectations
Jupyter Notebook
MLflow
Microsoft Azure
Microsoft Teams
OpenMetadata
PagerDuty
PostgreSQL
SkyStem ART
Twilio
dbt

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided
Free Version
Free Trial Offered?

Pricing Information

$0
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 Trial Offered?

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Prevision.io

Company Location

France

Company Website

prevision.io

Company Facts

Organization Name

Dagster Labs

Date Founded

2019

Company Location

United States

Company Website

dagster.io

Categories and Features

Machine Learning

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

Categories and Features

Data Fabric

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

Data Management

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

ETL

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

Machine Learning

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

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