Anaconda vs SAP Analytics Cloud comparison

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Anaconda Logo
2,604 views|1,970 comparisons
94% willing to recommend
SAP Logo
10,989 views|7,184 comparisons
90% willing to recommend
Comparison Buyer's Guide
Executive Summary

We performed a comparison between Anaconda and SAP Analytics Cloud based on real PeerSpot user reviews.

Find out what your peers are saying about Databricks, Microsoft, Alteryx and others in Data Science Platforms.
To learn more, read our detailed Data Science Platforms Report (Updated: May 2024).
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Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"Voice Configuration and Environmental Management Capabilities are the most valuable features.""The most advantageous feature is the logic building.""The tool's most valuable feature is its cloud-based nature, allowing accessibility from anywhere. Additionally, using Jupyter Notebook makes it easy to handle bugs and errors.""The most valuable feature is the Jupyter notebook that allows us to write the Python code, compile it on the fly, and then look at the results.""I can use Anaconda for non-heavy tasks.""It helped us find find the optimal area for where our warehouse should be located.""The solution is stable.""The documentation is excellent and the solution has a very large and active community that supports it."

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"I like the product's capabilities. The clarity and scenarios are the main features that allow us to forecast using machine learning algorithms and make decisions.""It's many features make it the best in the market.""SAP Analytics Cloud allows you to quickly perform various tasks in terms of virtualization. CyberArk itself requires some enhancements to better connect with other technologies. While it's easy to connect with SAP, using analytics tools may sometimes necessitate sourcing information from different platforms. You might need data from SAP or other technologies/platforms to access specific information not available within SAP. SAP is effective for managing storage and enhancing virtualization capabilities.""It offers good backup capabilities.""In the most recent release, the schedule publication was officially updated and it's been added on MS Office 365. I like how we had an EPM for B to C perspective; it's a great enhancement. Also, I believe the B to B connectivity has been improved. Android support for mobile is really good also. Power BI has always had android support in place, so manual support for SAP Analytics Cloud is also a very good feature.""SAP Analytics Cloud is a very good tool. The feature that's most useful for me is the reporting as it can be done via Google Chrome. The solution is also very nice, user-friendly, and easy to build. It's very easy to use the features of SAP Analytics Cloud.""The new Application Design option offers lots of customization options by being able to script in Typescript (similar to Javascript).""The visualization feature is the most valuable. SAP Analytics Cloud is also very easy to use."

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Cons
"Having a small guide or video on the tool would help learn how to use it and what the features are.""The interface could be improved. Other solutions, like Visual Studio, have much better UI.""The ability to schedule scripts for the building and monitoring of jobs would be an advantage for this platform.""It crashes once in a while. In case of a reboot or something unexpected, the unseen code part will get diminished, and it relatively takes longer than other applications when a reboot is happening. They can improve in these areas. They can also bring some database software. They have software for analytics and virtualization. However, they don't have any software for the database.""One feature that I would like to see is being able to use a different language in a different cell, which would allow me to mix R and Python together.""Anaconda could benefit from improvement in its user interface to make it more attractive and user-friendly. Currently, it's boring.""I think better documentation or a step-by-step guide for installation would help, especially for on-premise users.""When you install Anaconda for the first time, it's really difficult to update it."

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"The general management of this solution could be improved. The graphics or icons could also be improved to allow them to integrate with other environments on the web.""The security, authorization, and live connection to the back-office system features can be improved. A business analyst colleague who creates complex financial management reports has mentioned that he wants to see more fact and visualization features. It would be helpful to have more visualization features to be able to prepare more stories or reports for executives. For example, Tableau has some visualization features that are not present in this solution.""Sometimes there are speed issues with big deletion data.""An area for improvement in SAP Analytics Cloud is its planning feature because it's not that efficient when compared to BPC. Another area for improvement in the solution is the difficulty in building reports or dashboards, particularly if you don't have proper knowledge of the BI system. SAP Analytics Cloud technical support also needs improvement.""An additional feature that needs to be added to SAP Analytics Cloud is exporting because right now, you can only export to PDF and PowerPoint. It would be good to have multiple export options, for example, to Excel and other apps. Pricing is an area for improvement in SAP Analytics Cloud, apart from exporting.""However, there are areas of improvement, particularly in terms of visualization. The front-end interface of SAP Analytics Cloud is not as impressive as Tableau and Power BI. The charts in other solutions have a more visually appealing and customizable look, while in SAP Analytics Cloud, there's a lack of alignment between numbers and charts. This graphical aspect, especially concerning charts, is not as satisfactory in SAP Analytics Cloud compared to its counterparts.""What could be improved in SAP Analytics Cloud is integration, particularly in terms of extracting data from the source system. Currently, its data extraction mechanism doesn't have good integration and needs improvement.""SAP could add more templates to the platform."

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Pricing and Cost Advice
  • "The licensing costs for Anaconda are reasonable."
  • "The product is open-source and free to use."
  • "My company uses the free version of the tool. There is also a paid version of the tool available."
  • "The tool is open-source."
  • "Anaconda is free to use, but in terms of hardware costs, you might need heavy GPUs to run CUDA and other demanding tasks."
  • More Anaconda Pricing and Cost Advice →

  • "It is a bit expensive, but really worth it, especially if you are already using other SAP tools."
  • "It is not the most expensive one. You have to do the cost-of-ownership analysis and take a lot of things into consideration to come up with the conclusion that it is cheaper or not, but its price is reasonable. It provides value for money."
  • "It's quite expensive and costs a lot to maintain, especially with licensing."
  • "It's not that costly as such for the time being."
  • "Its licensing is on a monthly basis."
  • "Compute and storage features should be sold separately."
  • "Its pricing is okay as compared to its competitors."
  • "Its price is slightly on the higher side."
  • More SAP Analytics Cloud Pricing and Cost Advice →

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    Questions from the Community
    Top Answer:The tool's most valuable feature is its cloud-based nature, allowing accessibility from anywhere. Additionally, using Jupyter Notebook makes it easy to handle bugs and errors.
    Top Answer:Anaconda is free to use, but in terms of hardware costs, you might need heavy GPUs to run CUDA and other demanding tasks, which can be expensive. It works on all systems and is not subscription-based.
    Top Answer:A lot of people and companies are investing in creating automated data cleaning and processing environments. Anaconda is a bit behind in that area. Maybe a graphical user interface where we can just… more »
    Top Answer:Tableau is easy to set up and maintain. In about a day it is possible for the entire platform to be deployed for use. This relatively short amount of time can make all the difference for companies… more »
    Top Answer:In the data warehouse, you're free to make changes. You can make everything text, meaning it's always a string. Even numbers appear as text, giving you the flexibility to work with all columns.
    Top Answer:SAP pricing tends to be premium, so it is slightly higher. However, in this case, the premium charges are justifiable because it comes with out-of-the-box connectors and adapters and can still… more »
    Ranking
    13th
    Views
    2,604
    Comparisons
    1,970
    Reviews
    4
    Average Words per Review
    391
    Rating
    8.8
    Views
    10,989
    Comparisons
    7,184
    Reviews
    26
    Average Words per Review
    606
    Rating
    7.8
    Comparisons
    Also Known As
    SAP BusinessObjects Cloud
    Learn More
    Overview

    Anaconda makes it easy for you to install and maintain Python environments. Our development team tests to ensure compatibility of Python packages in Anaconda. We support and provide open source assurance for packages in Anaconda to mitigate your risk in using open source and meet your regulatory compliance requirements.

    Python is the fastest growing language for data science. Anaconda includes 720+ Python open source packages and now includes essential R packages. This powerful combination allows you to do everything you want from BI to advanced modeling on complex Big Data

    SAP Analytics Cloud is an all-in-one Software-as-a-Service business intelligence tool that provides the key functionalities of an analytics tool to SAP business users. This tool is built on HANA Business Intelligence (BI) platform, providing analytics from data collected from multiple sources, such as ERP, Microsoft SQL, and Salesforce, among other solutions.

    You can use SAP Analytics Cloud to compile data and perform ad-hoc reporting and analysis for predictive planning. SAP Analytics Cloud collects and analyzes the raw data from transactional systems into intelligent insights that allow you to make better decisions.

    SAP Analytics Cloud uses machine learning to clean up data, identify errors, and issues, and suggest optimization or filtering options. You can use the modeling feature in Analytics Cloud to create hierarchies and get deeper data insights.

    The three core functions of SAP Analytics Cloud consist of Planning, Predictive Analysis, and Business Intelligence as a holistic SaaS solution that offers real-time analysis to business leaders.

    SAP Analytics Cloud Capabilities

    • Data discovery
    • Machine learning
    • Integrated financial and business planning
    • Predictive analysis
    • Automated data cleansing
    • Custom widgets
    • Mobile extension
    • Role-based customization
    • Data exploration and visualization

    SAP Analytics Cloud Key Features

    • Augmented analytics: SAP Analytics Cloud allows organizations to make the most of AI (Artificial Intelligence)-powered analytics through augmented analytics. It includes a Search to Insight feature that enables users not skilled or experienced in data science to access and use the platform.

      These smart insight tools allow organizations to visualize business data without manual intervention. By combining multiple machine learning algorithms, SAP Analytics Cloud automates predictive analysis so that organizations can have significant insight into secured data.
    • Enterprise planning: As SAP Analytics Cloud is an all-in-one financial planning and analysis solution, organizations can use it to align strategies across all departments. It allows end-to-end, data-driven planning decisions via financial modeling, allocations, smart insights, and automated reporting.

      The Zero-based budgeting feature allows for an effective resources allocation with built-in collaboration tools. The finance team can collaborate easily, create budget templates and make accurate decisions.

    SAP Analytics Cloud Benefits

    • Real-time cloud insights: SAP Analytics Cloud makes it easy for users at every level to generate instant insights and improve data-driven decision-making. With SAP Analytics Cloud, you can have immediate and central access to all figures, diagrams, insights, and evaluations for every employee on every device and updated in real time.

    • Customizable dashboard: You can customize your dashboard according to your requirements. This customization means you can easily access all the relevant data on a single pane of vision tailored to your business.

    • Collaborative planning: As an all-in-one platform, SAP Analytics Cloud integrates the multiple aspects of a business into a single solution, including finance, HR, sales, and supply chain management.

    • Data on any device: You can integrate SAP Analytics Cloud with SAP S/4 HANA and deploy insights to Android and iOS devices. The SAP S/4 HANA integration also enables the rolling out of changes to multiple files and devices from a central location, so you can carry your business operations on the go over a secured cloud network.

    • In-memory technology: Since it is based on SAP HANA in-memory technology, SAP Analytics Cloud can process massive amounts of data in a short time.

    Reviews from Real Users

    Segun O., SAP HANA Developer at SOA PEOPLE, says that "The most valuable features are on the application side, where you can design applications into your analytics on the platform."

    The Head of Finance Enterprise Application at a computer software company adds that "The visualization feature is the most valuable. SAP Analytics Cloud is also very easy to use."

    "Its many features make it the best in the market," sums up a Consultor SAP Business Object, Sap Analytics Cloud at a tech services company.

    Sample Customers
    LinkedIn, NASA, Boeing, JP Morgan, Recursion Pharmaceuticals, DARPA, Microsoft, Amazon, HP, Cisco, Thomson Reuters, IBM, Bridgestone
    Live Oak Bank
    Top Industries
    REVIEWERS
    Financial Services Firm27%
    Manufacturing Company18%
    Energy/Utilities Company9%
    Computer Software Company9%
    VISITORS READING REVIEWS
    Financial Services Firm17%
    Computer Software Company9%
    Government9%
    Manufacturing Company6%
    REVIEWERS
    Computer Software Company24%
    Educational Organization14%
    Financial Services Firm10%
    Manufacturing Company10%
    VISITORS READING REVIEWS
    Educational Organization20%
    Manufacturing Company12%
    Computer Software Company10%
    Financial Services Firm7%
    Company Size
    REVIEWERS
    Small Business45%
    Midsize Enterprise5%
    Large Enterprise50%
    VISITORS READING REVIEWS
    Small Business18%
    Midsize Enterprise13%
    Large Enterprise70%
    REVIEWERS
    Small Business33%
    Midsize Enterprise17%
    Large Enterprise50%
    VISITORS READING REVIEWS
    Small Business16%
    Midsize Enterprise27%
    Large Enterprise57%
    Buyer's Guide
    Data Science Platforms
    May 2024
    Find out what your peers are saying about Databricks, Microsoft, Alteryx and others in Data Science Platforms. Updated: May 2024.
    772,649 professionals have used our research since 2012.

    Anaconda is ranked 13th in Data Science Platforms with 17 reviews while SAP Analytics Cloud is ranked 3rd in BI (Business Intelligence) Tools with 61 reviews. Anaconda is rated 8.0, while SAP Analytics Cloud is rated 8.0. The top reviewer of Anaconda writes "Offers free version and is helpful to handle small-scale workloads". On the other hand, the top reviewer of SAP Analytics Cloud writes "Good for reporting but needs to improve its predictive analytics features". Anaconda is most compared with Databricks, Microsoft Azure Machine Learning Studio, Amazon SageMaker and Microsoft Power BI, whereas SAP Analytics Cloud is most compared with SAP BusinessObjects Business Intelligence Platform, Tableau, IBM Planning Analytics, Microsoft Power BI and Anaplan.

    We monitor all Data Science Platforms reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.