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Description

Deepnote is building the best data science notebook for teams. Connect your data, explore and analyze it within the notebook with real-time collaboration and versioning. Share links to your projects with other analysts and data scientists on your team, or present your polished, published notebooks to end users and stakeholders. All of this is done through a powerful, browser-based UI that runs in the cloud.

Description

Pachyderm's Data Versioning offers teams an efficient and automated method for monitoring all changes to their data. With file-based versioning, users benefit from a comprehensive audit trail that encompasses all data and artifacts at each stage of the pipeline, including intermediate outputs. The data is stored as native objects rather than mere metadata pointers, ensuring that versioning is both automated and reliable. The system can automatically scale by utilizing parallel processing for data without the need for additional coding. Incremental processing optimizes resource usage by only addressing the differences in data and bypassing any duplicates. Additionally, Pachyderm’s Global IDs simplify the tracking of results back to their original inputs, capturing all relevant analysis, parameters, code, and intermediate outcomes. The intuitive Pachyderm Console further enhances user experience by providing clear visualizations of the directed acyclic graph (DAG) and supports reproducibility through Global IDs, making it a valuable tool for teams managing complex data workflows. This comprehensive approach ensures that teams can confidently navigate their data pipelines while maintaining accuracy and efficiency.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

AccessOwl Yes 
Amazon Athena Yes 
Amazon Redshift Yes 
Devin Desktop Yes 
Docker Yes 
Dropbox Yes 
Google Cloud BigQuery Yes 
Google Cloud Container Security Yes 
Google Cloud Platform Yes 
Modelbit Yes 
MongoDB Yes 
MySQL Yes 
PostgreSQL Yes 
Reddit Yes 
Redshift Yes 
Telegram Yes 
TensorFlow Yes 
Visual Studio Code Yes 

Integrations

AccessOwl No 
Amazon Athena No 
Amazon Redshift No 
Devin Desktop No 
Docker No 
Dropbox No 
Google Cloud BigQuery No 
Google Cloud Container Security No 
Google Cloud Platform No 
Modelbit No 
MongoDB No 
MySQL No 
PostgreSQL No 
Reddit No 
Redshift No 
Telegram No 
TensorFlow No 
Visual Studio Code No 

Pricing Details

Free
Starter: Free
Pro: $12/month
Enterprise: $99/month
Free Trial No 
Free Version Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person No 

Vendor Details

Company Name

Deepnote

Founded

2019

Country

United States

Website

deepnote.com

Vendor Details

Company Name

Pachyderm

Website

www.pachyderm.com

Product Features

Artificial Intelligence

Chatbot No 
For Healthcare No 
For Sales No 
For eCommerce No 
Image Recognition No 
Machine Learning Yes 
Multi-Language No 
Natural Language Processing No 
Predictive Analytics No 
Process/Workflow Automation No 
Rules-Based Automation No 
Virtual Personal Assistant (VPA) No 

Big Data

Collaboration Yes 
Data Blends No 
Data Cleansing No 
Data Mining No 
Data Visualization Yes 
Data Warehousing No 
High Volume Processing No 
No-Code Sandbox No 
Predictive Analytics No 
Templates No 

Business Intelligence

Ad Hoc Reports Yes 
Benchmarking No 
Budgeting & Forecasting No 
Dashboard No 
Data Analysis Yes 
Key Performance Indicators No 
Natural Language Generation (NLG) No 
Performance Metrics No 
Predictive Analytics No 
Profitability Analysis No 
Strategic Planning Yes 
Trend / Problem Indicators Yes 
Visual Analytics Yes 

Data Analysis

Data Discovery No 
Data Visualization Yes 
High Volume Processing No 
Predictive Analytics No 
Regression Analysis No 
Sentiment Analysis No 
Statistical Modeling No 
Text Analytics No 

Data Science

Access Control No 
Advanced Modeling Yes 
Audit Logs No 
Data Discovery No 
Data Ingestion No 
Data Preparation No 
Data Visualization Yes 
Model Deployment Yes 
Reports Yes 

Data Visualization

Analytics Yes 
Content Management No 
Dashboard Creation No 
Filtered Views No 
OLAP No 
Relational Display No 
Simulation Models No 
Visual Discovery No 

Machine Learning

Deep Learning Yes 
ML Algorithm Library No 
Model Training No 
Natural Language Processing (NLP) No 
Predictive Modeling No 
Statistical / Mathematical Tools No 
Templates No 
Visualization Yes 

Product Features

Machine Learning

Deep Learning No 
ML Algorithm Library No 
Model Training No 
Natural Language Processing (NLP) No 
Predictive Modeling No 
Statistical / Mathematical Tools No 
Templates No 
Visualization No 

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