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Whatagraph VS Data Science Workbench

Compare Whatagraph VS Data Science Workbench and see what are their differences

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Contents:
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  2. » Videos
  3. » Reviews
  4. » Alternatives

Whatagraph logo Whatagraph

Whatagraph is the most visual multi-source marketing reporting platform. Built in collaboration with digital marketing agencies

Data Science Workbench logo Data Science Workbench

Equip data scientists with self-service access to any data, anywhere, so they can quickly develop and prototype machine learning projects and easily deploy them to production.
  • Whatagraph Landing page
    Landing page //
    2023-07-22
  • Data Science Workbench Landing page
    Landing page //
    2023-10-05

Whatagraph features and specs

  • User-Friendly Interface
    Whatagraph's intuitive design makes it easy for users, even those without technical expertise, to create and understand comprehensive reports.
  • Customization
    Offers extensive customization options for reports, allowing users to tailor them to specific needs and branding requirements.
  • Integrations
    Seamlessly integrates with popular marketing tools and platforms such as Google Analytics, Facebook, and Mailchimp, providing a centralized reporting solution.
  • Automation
    Enables automated reporting, saving time and ensuring that reports are consistently delivered on schedule.
  • Collaboration
    Facilitates collaboration by allowing multiple users to access and edit reports, streamlining team workflows.
  • Visual Appeal
    Produces visually appealing, professional reports that can enhance presentations and client communications.

Possible disadvantages of Whatagraph

  • Pricing
    Whatagraph may be considered expensive for small businesses or startups due to its subscription model.
  • Learning Curve
    While relatively user-friendly, some users may experience a learning curve when first starting out with the platform.
  • Template Limitations
    Some users have reported limited flexibility in template designs, which may not suit highly specific reporting needs.
  • Data Sync Delays
    There can be occasional delays in data syncing from integrated platforms, which might affect the timeliness of reports.
  • Customer Support
    Some users have indicated that customer support can be slow to respond or not as helpful as desired.

Data Science Workbench features and specs

  • Collaborative Environment
    Cloudera Data Science Workbench provides a collaborative environment where data scientists can work together on projects, facilitating better communication and teamwork.
  • Scalability
    The platform supports distributed computing, allowing data scientists to scale their computations effortlessly using the underlying Cloudera cluster resources.
  • Language Flexibility
    It supports Python, R, and Scala, providing flexibility for data scientists who prefer different programming languages for their analyses and model development.
  • Security
    It offers robust security features, including authentication, authorization, and encryption, ensuring that data and model access is well-controlled and compliant with enterprise standards.
  • Ease of Setup
    The workbench is known for its ease of setup and integration within existing Cloudera environments, reducing the time to start projects.

Possible disadvantages of Data Science Workbench

  • Resource Intensive
    Running Cloudera Data Science Workbench can be resource-intensive, requiring significant computational power and memory, which may not be optimal for smaller setups.
  • Complexity of Full Utilization
    Utilizing the full range of features may require a steep learning curve and expert knowledge, which can be challenging for new users.
  • Cost
    It can be costly, especially for small and medium-sized enterprises, due to licensing fees and the need for a robust infrastructure to support it.
  • Limited Offline Capabilities
    The tool is largely dependent on a stable internet connection and might not support all use cases where offline capabilities are needed.
  • Dependency on Cloudera Ecosystem
    Optimal usage of the workbench is heavily reliant on integration with other Cloudera ecosystem products, which may not be ideal for users not fully invested in Cloudera's stack.

Analysis of Whatagraph

Overall verdict

  • Whatagraph is generally considered a good solution for marketing teams that need to consolidate and simplify their reporting processes. Its intuitive interface and robust features make it an attractive option for both small businesses and larger enterprises looking to enhance their data-driven decision-making.

Why this product is good

  • Whatagraph is a marketing reporting tool that aggregates data from multiple sources and presents it in visually appealing formats. It's highly valued for its ease of use, customization options, and the ability to automate report creation, saving marketing teams significant time. The platform supports integration with a wide range of marketing tools, which allows for comprehensive reporting across different channels and metrics.

Recommended for

  • Marketing agencies looking for a streamlined reporting solution
  • Businesses seeking to automate and customize their marketing reports
  • Teams that require integration across multiple marketing platforms
  • Professionals who value visually appealing and easy-to-understand reports

Whatagraph videos

+ Add

Top 4 Whatagraph Features Released in 2019

More videos:

  • Review - Whatagraph Reviews - Honest thoughts after using the whatagraph tool (whatagraph review)
  • Review - whatagraph review - Everything You Need To Know About The Tool (whatagraph review 2019)

Data Science Workbench videos

+ Add

Model Deployment Using Cloudera Data Science Workbench

Category Popularity

0-100% (relative to Whatagraph and Data Science Workbench)

Whatagraph

Data Science Workbench

Data Dashboard
94 94%
Data Dashboard
6% 6
Business & Commerce
76 76%
Business & Commerce
24% 24
Business Intelligence
100 100%
Business Intelligence
0% 0
Technical Computing
0 0%
Technical Computing
100% 100

User comments

Share your experience with using Whatagraph and Data Science Workbench. For example, how are they different and which one is better?
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Reviews

These are some of the external sources and on-site user reviews we've used to compare Whatagraph and Data Science Workbench

Whatagraph Reviews

8 Databox Alternatives: Which One Is The Best?
Customers mainly use Whatagraph for tracking campaign results from various channels. The platform provides visualizations, reports, and data insights in the manner of leading your company’s success. It offers some features that you may not find in other competitor tools such as monitoring multiple channels at once or styling reports based on your needs.
Source: hockeystack.com
25 Best Reporting Tools for 2022
Whatagraph is known as a reporting tool that allows you to compare and monitor the performance of various campaigns. It also allows you to transfer custom data from API and Google Sheets.
Source: hevodata.com

Data Science Workbench Reviews

We have no reviews of Data Science Workbench yet.
Be the first one to post

Social recommendations and mentions

Based on our record, Whatagraph seems to be more popular. It has been mentiond 4 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.

Whatagraph mentions (4)

  • Linking visibility and positions data in google data studio
    I recommend pulling this easily into whatagraph.com through drag & drop functionality. Amazing integration depth, also! Source: almost 4 years ago
  • Does this tool exist?
    Try whatagraph.com. Should do the job for you. Source: almost 4 years ago
  • V2.0 of Google Data Studio
    Hey everyone, Just like the title says that's what Whatagraph.com is - those of you who are looking to significantly improve your data aggregation, visualization, and reporting capabilities, I would love to invite you to our webinar next week on Tuesday at 3pm BST.https://www.linkedin.com/events/6793088092371763200/. Source: about 4 years ago
  • New data analyst tasked with major overhaul needing guidance!
    The space I am more aware of is the data integration part of the process, and my team uses hotglue (though hotglue is built for developers) to collate the data into one place, do any transformations necessary (the transformations are done in Python in hotglue), and then send it to the tool we use (we recently switched from Databox to Whatagraph). The nice thing about this for us is we can actually remain on the... Source: about 4 years ago

Data Science Workbench mentions (0)

We have not tracked any mentions of Data Science Workbench yet. Tracking of Data Science Workbench recommendations started around Mar 2021.

What are some alternatives?

When comparing Whatagraph and Data Science Workbench, you can also consider the following products

Databox - Databox is an easy-to-use analytics platform that helps growing businesses centralize their data, and use it to make better decisions and improve performance.

Tibco Data Science - Data science is a team sport. Data scientists, citizen data scientists, business users, and developers need flexible and extensible tools that promote collaboration, automation, and...

Supermetrics - Supermetrics simplifies marketing analytics by connecting, consolidating, and centralizing data from 150+ platforms into your favorite tools. Trusted by 200K+ organizations, we empower marketers to focus on insights, not manual work.

IBM ILOG CPLEX Optimization Studio - IBM ILOG CPLEX Optimization Studio is an easy-to-use, affordable data analytics solution for businesses of all sizes who want to optimize their operations.

Owler - Owler is a crowdsourced data model allowing users to follow, track, and research companies.

Pyramid Analytics - Pyramid brings data prep, business analytics, and data science together into one frictionless business and decision intelligence platform that helps you deliver timely and effective decision-making.

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