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About

Deepnote is building the best data science notebook for teams. In the notebook, users can connect their data, explore, and analyze it with real-time collaboration and version control. Users can easily share project links with team collaborators, or with end-users to present polished assets. All of this is done through a powerful, browser-based UI that runs in the cloud. We built Deepnote because data scientists don't work alone. Features: - Sharing notebooks and projects via URL - Inviting others to view, comment and collaborate, with version control - Publishing notebooks with visualizations for presentations - Sharing datasets between projects - Set team permissions to decide who can edit vs view code - Full linux terminal access - Code completion - Automatic python package management - Importing from github - PostgreSQL DB connection

About

Power BI is a business intelligence platform that enables users to analyze data using AI-driven tools and intuitive report creation. It consolidates data from various sources into OneLake, creating a centralized data source. This platform aids in embedding actionable insights into applications like Microsoft 365, aiding decision-making. Power BI integrates with Microsoft Fabric, enhancing data management. It offers scalability to handle large data volumes and integrates seamlessly with Microsoft services. Its AI capabilities efficiently identify patterns and generate insights. Power BI ensures data security and compliance. Its Copilot feature allows rapid report generation. Additionally, Power BI Pro offers self-service analytics, and its free version includes data modeling and visualization tools. It's known for unified data management, empowering users with accessibility and training resources. Power BI has demonstrated a significant ROI and economic benefit, as evidenced in a Forres

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Enterprises and teams interested in a data science notebook solution to make data science teams more productive

Audience

Companies of all sizes that need a business intelligence solution

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Starter: Free
Pro: $12/month
Enterprise: $99/month
Free Version
Free Trial

Pricing

$14/user/month
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 4.4 / 5
ease 4.4 / 5
features 4.6 / 5
design 4.6 / 5
support 4.2 / 5

Pros & Cons from Real Users

Pros

  • It is simple to prepare and explore data with Microsoft Power BI. It is a great tool for data visualization. It is simple to data models with this tool. It is simple to analyze business data with Microsoft Power BI. Ability to make better and informed data-driven decisions.
  • Power BI transforms a complex world of data into a playground of insights. The best part of using Power BI is state of the art ease to use interface, I belongs to a non technical background but i didn't found it difficult to start using Power BI from day one of using for sales analytics.
  • I like a lot of of things about Microsoft Power BI, As i am using it since almost 2 years it has been a great tool for sales analytics which helps me keeps track of the organization's progress. Apart from this in aspect of Data visualization it provides a wide range of interactive & customizable charts, graphs & dashboards.
  • This software is great for BI, especially visualization. It’s the most affordable software I’ve found that can accomplish this.
  • Unlimited potential to drilldown, explore and play around with data. PowerBI's interface makes it easy to derive insights.

Cons

  • So far so good as I haven't experienced any shortcomings with Microsoft Power BI.
  • The occasional lags into the reports have made us wait a lot sometimes while we are looking for right figures to measure overall efforts. This could be reduced to make it a perfect sales analytics solution.
  • I haven't faced any major issue yet, apart from the minor one's which includes misalignment in report generation while preparing some extracting a report for LMS but later it also get solved. One more thing i'd like to mention in the cons column is that for a large organization like us its completely affordable but if we discuss about the smaller one's it may not be that much budget friendly.
  • There are some features missing from this software, but they usually only exist in really expensive software.
  • Slower than Tableau when it comes to ETL'ing datasets.

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Deepnote
Founded: 2019
United States
deepnote.com

Company Information

Microsoft
Founded: 1975
United States
www.microsoft.com/en-us/power-platform/products/power-bi

Alternatives

Alternatives

dbt

dbt

dbt Labs
Grafana Cloud

Grafana Cloud

Grafana Labs
Denodo

Denodo

Denodo Technologies
Looker

Looker

Google

Categories

Categories

Big Data Features

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

Business Intelligence Features

Ad Hoc Reports
Benchmarking
Budgeting & Forecasting
Dashboard
Data Analysis
Key Performance Indicators
Natural Language Generation (NLG)
Performance Metrics
Predictive Analytics
Profitability Analysis
Strategic Planning
Trend / Problem Indicators
Visual Analytics

Data Analysis Features

Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics

Data Visualization Features

Analytics
Content Management
Dashboard Creation
Filtered Views
OLAP
Relational Display
Simulation Models
Visual Discovery

Artificial Intelligence Features

Chatbot
For eCommerce
For Healthcare
For Sales
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)

Data Science Features

Access Control
Advanced Modeling
Audit Logs
Data Discovery
Data Ingestion
Data Preparation
Data Visualization
Model Deployment
Reports

Machine Learning Features

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

Business Intelligence Features

Ad Hoc Reports
Benchmarking
Budgeting & Forecasting
Dashboard
Data Analysis
Key Performance Indicators
Natural Language Generation (NLG)
Performance Metrics
Predictive Analytics
Profitability Analysis
Strategic Planning
Trend / Problem Indicators
Visual Analytics

Integrations

AccessOwl
MongoDB
Aranda Service Management
Clarity by Rego
CommunityForce
Competitive Compass
Cyral
Expo XT UC Analytics
FactoryWiz
Grooper
HexIQ
HoshinCloud
Insightly
LeadSparK
Omnisient
Potloc
PubNub
Shoplogix Smart Factory Platform
Staffcloud
data studio for amazon

Integrations

AccessOwl
MongoDB
Aranda Service Management
Clarity by Rego
CommunityForce
Competitive Compass
Cyral
Expo XT UC Analytics
FactoryWiz
Grooper
HexIQ
HoshinCloud
Insightly
LeadSparK
Omnisient
Potloc
PubNub
Shoplogix Smart Factory Platform
Staffcloud
data studio for amazon
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Claim Deepnote and update features and information
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