Software Alternatives, Accelerators & Startups

DataSquirrel.ai VS Microsoft Power BI

Compare DataSquirrel.ai VS Microsoft Power BI and see what are their differences

DataSquirrel.ai logo DataSquirrel.ai

Data Analytics Made Easy!

Microsoft Power BI logo Microsoft Power BI

BI visualization and reporting for desktop, web or mobile
  • DataSquirrel.ai Landing page
    Landing page //
    2023-08-31

DataSquirrel.ai is your reliable partner for simplified data analysis. It takes the complexity out of working with data, saving you time and effort. With easy data uploads, automated cleaning, and guided analysis features, you can explore, customize, and visualize insights effortlessly. Generating reports and sharing interactive dashboards is a breeze, empowering you to communicate your findings effectively.

Designed for professionals from all backgrounds, DataSquirrel.ai eliminates the need for complex formulas, macros, or coding knowledge. Say goodbye to the headaches of manual data processing and hello to a streamlined, intuitive solution that puts you in control.

  • Microsoft Power BI Landing page
    Landing page //
    2023-06-14

DataSquirrel.ai videos

Your fastest way from csv/xls to dashboard report. No SQL, Excel needed!

Microsoft Power BI videos

No Microsoft Power BI videos yet. You could help us improve this page by suggesting one.

+ Add video

Category Popularity

0-100% (relative to DataSquirrel.ai and Microsoft Power BI)
Data Analysis
100 100%
0% 0
Data Dashboard
1 1%
99% 99
Data Visualization
3 3%
97% 97
Business Intelligence
2 2%
98% 98

Questions and Answers

As answered by people managing DataSquirrel.ai and Microsoft Power BI.

What makes your product unique?

DataSquirrel.ai's answer

Our users / customers say that DataSquirrel.ai has Speed processing of new and ad-hoc data, automatic cleansing functionality, intuitive guided analysis, no-code/no-formulas approach, and plain English interface. Above that, and very important for our users: Our focus on data privacy while using the benefits of AI.

Which are the primary technologies used for building your product?

DataSquirrel.ai's answer

DataSquirrel.ai is constructed on a foundation of open-source web, backend, and data crunch frameworks such as React, Python, and Pandas, along with AI APIs. These elements are seamlessly integrated through a proprietary layer that enables efficient detection, processing, and AI augmentation. It's important to note that DataSquirrel.ai never uploads the data provided by users to large language models or transformers like ChatGPT. Instead, it utilizes contextual information to generate accurate results, prioritizing data privacy and security.

Who are some of the biggest customers of your product?

DataSquirrel.ai's answer

As a startup, DataSquirrel.ai is in the early stages of its customer base, but it has garnered a dedicated user community who utilize the platform for tasks such as chart creation and presentation development for their clients. These daily users span across various industries, including Hospitality and Travel, Medical, E-commerce, Media & Advertising, and financial accounting. While DataSquirrel.ai continues to grow, its presence is already being felt in these sectors as it aids professionals in effectively visualizing and communicating data insights.

What's the story behind your product?

DataSquirrel.ai's answer

DataSquirrel is a data solution developed by a team of data enthusiasts aimed at providing simple solutions to complex data challenges. The creators recognized a gap in the existing data tools market, noting that Tableau, Qlikview, Excel, and Google Spreadsheets didn't fully cater to users needing to quickly analyze and visualize their data. The team believes that users shouldn't need advanced Excel skills to effectively analyze and visualize their data and aim to make DataSquirrel the go-to solution for all data needs.

Why should a person choose your product over its competitors?

DataSquirrel.ai's answer

Unlike its competitors, DataSquirrel.ai offers a distinct advantage by providing results in just 5 minutes without requiring any training or prior knowledge of SQL or formulas. This makes it particularly well-suited for initial exploratory data analysis (EDA) and repetitive tasks. Currently in the BETA phase, the platform is available for free with appealing offers for those who sign up for a paid plan.

How would you describe your primary audience?

DataSquirrel.ai's answer

DataSquirrel.ai caters to a wide range of professionals, including consultants, project managers, media managers, data analysts, founders, CEOs, COOs, marketing and sales managers, operations managers, and more, who need to analyze data quickly but may lack the necessary time or expertise. Currently available in English only, the platform is designed to meet the needs of professionals across various industries, providing them with a user-friendly solution for efficient data analysis.

User comments

Share your experience with using DataSquirrel.ai and Microsoft Power BI. For example, how are they different and which one is better?
Log in or Post with

Reviews

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

DataSquirrel.ai Reviews

We have no reviews of DataSquirrel.ai yet.
Be the first one to post

Microsoft Power BI Reviews

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...
Best Google Data Studio Alternatives (Self-Service BI)
For personal use, Power BI can be downloaded on your local machine for free. However, if you want to use more Power BI services, you will need to pay $9.99/user/month for a cloud solution or $4,995/month for a dedicated server (cloud compute and storage resource)

Social recommendations and mentions

Based on our record, Microsoft Power BI seems to be more popular. It has been mentiond 17 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.

DataSquirrel.ai mentions (0)

We have not tracked any mentions of DataSquirrel.ai yet. Tracking of DataSquirrel.ai recommendations started around May 2023.

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: 12 months 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: about 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: about 1 year ago
View more

What are some alternatives?

When comparing DataSquirrel.ai and Microsoft Power BI, you can also consider the following products

ChartPixel - Go beyond visualization and gain valuable insights with ChartPixel's AI-assisted data analysis — no matter your skill level

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.

Kanaries RATH - Kanaries(k6s) RATH is an automated data exploration tool that can help you automate discovery patterns and insights and generate charts and dashboards. It uses an AI-enhanced engine to automate the working flow in data analysis.

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.

Polymer Search - Build an interactive web app from any spreadsheet in seconds. No advanced skills or code required.

Qlik - Qlik offers an Active Intelligence platform, delivering end-to-end, real-time data integration and analytics cloud solutions to close the gaps between data, insights, and action.