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Deepnote VS Microsoft Power BI

Compare Deepnote VS Microsoft Power BI and see what are their differences

Deepnote logo Deepnote

A collaboration platform for data scientists

Microsoft Power BI logo Microsoft Power BI

BI visualization and reporting for desktop, web or mobile
  • Deepnote Landing page
    Landing page //
    2023-10-09
  • Microsoft Power BI Landing page
    Landing page //
    2023-06-14

Deepnote videos

Could this be the Best Data Science Notebook? (Deepnote)

Microsoft Power BI videos

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Category Popularity

0-100% (relative to Deepnote and Microsoft Power BI)
Data Science And Machine Learning
Data Dashboard
0 0%
100% 100
AI
100 100%
0% 0
Data Visualization
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Deepnote and Microsoft Power BI

Deepnote Reviews

Jupyter Notebook & 10 Alternatives: Data Notebook Review [2023]
Deepnote is a cloud-based data science notebook platform comparable to Jupyter Notebooks but with a focus on real-time collaboration and editing. It lets users write and run code in several programming languages, as well as include text, equations, and visualizations in a single document.
Source: lakefs.io
7 best Colab alternatives in 2023
Deepnote is a real-time collaborative notebook. It offers features like real-time collaboration, version control, and smart autocomplete. It also provides direct integrations with popular data sources like GitHub, Google Drive, and BigQuery. Its modern, intuitive interface makes it a compelling choice for both beginners and experienced data scientists.
Source: deepnote.com
12 Best Jupyter Notebook Alternatives [2023] – Features, pros & cons, pricing
Deepnote is a cloud-based, data science notebook platform that is similar to Jupyter Notebooks, but with a focus on collaboration and real-time editing. It allows users to write and execute code in a variety of programming languages, as well as include text, equations, and visualizations in a single document. Deepnote also has a built-in code editor and supports a wide range...
Source: noteable.io
The Best ML Notebooks And Infrastructure Tools For Data Scientists
A Jupyter-notebook enabled platform, Deepnote boasts of many advanced features. Deepnote supports real-time collaboration to discuss and debug the code. The platform will soon have functions such as versioning, code review, and reproducibility. Deepnote has intelligent features to quickly browse the code, find patterns in your data, and autocomplete code. It can integrate...

Microsoft Power BI Reviews

Top 10 AI Data Analysis Tools in 2024
Microsoft Power BI is a versatile business intelligence platform that enables users to sort through their data and visualize it for actionable insights. One of its key strengths lies in its ability to import data from nearly any source, allowing users to build reports and dashboards effortlessly. Additionally, Power BI empowers users to build machine learning models and...
Source: powerdrill.ai
Embedded analytics in B2B SaaS: A comparison
A few options were disregarded from the start due to a hefty price tag, these were Looker, Tableau, Power BI, GoodData. A few options like Trevor.io, Preset, Observable were disregarded as they did not seem to fit our criteria (based on the evaluation matrix).
Source: medium.com
Best 8 Redash Alternatives in 2023 [In Depth Guide]
Users can also sign up for Power BI and Power BI Desktop for free to receive data, insights, and visual analytics. However, the premium versions offer more advanced features like AI, data management, and greater capacity and users.
Source: www.datapad.io
8 Alternatives to Apache Superset That’ll Empower Start-ups and Small Businesses with BI
PowerBI is one of the leading BI solutions in the market. It’s a highly scalable BI tool owned by the Microsoft team. It can be cloud-hosted or downloaded on-premise. It’s self-service and fosters enterprise-level answers to ad hoc queries. Trevor.io, Metabase and Looker can also work as Power BI alternatives.
Source: trevor.io
Top 10 Data Analysis Tools in 2022
Power BI Power BI is owned by Microsoft and, as such, has excellent compatibility with Microsoft Excel, which is a highly popular tool for data analysis. Power BI Premium costs $27.5 per month for each user. Power BI is a powerful tool produced by Microsoft and has proven itself as a powerful data analysis tool. However, its best features are seen within the Microsoft...

Social recommendations and mentions

Based on our record, Deepnote should be more popular than Microsoft Power BI. It has been mentiond 32 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Deepnote mentions (32)

  • A list of SaaS, PaaS and IaaS offerings that have free tiers of interest to devops and infradev
    Deepnote - A new data science notebook. Jupyter is compatible with real-time collaboration and running in the cloud. The free tier includes unlimited personal projects, up to 750 hours of standard hardware, and teams with up to 3 editors. - Source: dev.to / 5 months ago
  • JupyterLab 4.0
    We looked into many of these issues with Deepnote (YC S19) [https://deepnote.com/]. What we found is that these are not necessarily problems of the underlying medium (a notebook), but more of the specific implementation (Jupyter). We've seen a lot of progress in the Jupyter ecosystem, but unfortunately almost none in the areas you mentioned. - Source: Hacker News / about 1 year ago
  • Ask HN: Fastest way to turn a Jupyter notebook into a website these days?
    Upload your ipynb to Deepnote and publish as an app. That simple. https://deepnote.com. - Source: Hacker News / about 1 year ago
  • Quick tip: Using a SingleStoreDB Recursive CTE with London Underground data
    Using Deepnote, we'll create a Python notebook and upload the two GeoJSON files into a data directory. - Source: dev.to / over 1 year ago
  • free-for.dev
    Deepnote - A new kind of data science notebook. Jupyter-compatible with real-time collaboration and running in the cloud. Free tier includes unlimited personal projects, up to 750 hours of standard hardware and teams with up to 3 editors. - Source: dev.to / over 1 year ago
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Microsoft Power BI mentions (17)

  • Unified Analytics Platform: Microsoft Fabric
    Microsoft Fabric is currently in preview and provides data integration, engineering, data warehousing, data science, real-time analytics, applied observability, and business intelligence under a single architecture by integrating services such as Azure Data Factory, Azure Synapse Analytics, Data Activator, and Power BI. In addition, it comes with a SaaS, multi-cloud data lake called "OneLake" that is built-in and... Source: about 1 year ago
  • NSS Data Analytics Program Question
    I'd suggest spending some time learning the material before you invest thousands in tuition only to find that you don't like it or aren't good at it. Download Tableau Public or Power BI and force yourself to use them for a few months. That's how I taught myself R. Source: about 1 year ago
  • Why Is Data Analytics Important?
    Discover why business analytics is crucial for your business and how to utilise data analytics and PowerBI to make informed and data-backed decisions! Source: about 1 year ago
  • Cloud dB reporting tool?
    Power BI is popular... But for table reports with Excel/PDF export you can use Pebble Reports. Source: over 1 year ago
  • Asking for guidance on migrating to a database from Excel
    Yes, MySQL can do the job. You can use Airforms to do data entry. No need to learn MySQL syntax. You will also need a reporting tool, such as Power BI. Source: over 1 year ago
View more

What are some alternatives?

When comparing Deepnote and Microsoft Power BI, you can also consider the following products

Amazon SageMaker - Amazon SageMaker provides every developer and data scientist with the ability to build, train, and deploy machine learning models quickly.

Tableau - Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click.

Apache Zeppelin - A web-based notebook that enables interactive data analytics.

Looker - Looker makes it easy for analysts to create and curate custom data experiences—so everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.

Saturn Cloud - ML in the cloud. Loved by Data Scientists, Control for IT. Advance your business's ML capabilities through the entire experiment tracking lifecycle. Available on multiple clouds: AWS, Azure, GCP, and OCI.

Sisense - The BI & Dashboard Software to handle multiple, large data sets.