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Anaconda vs SAP Analytics Cloud comparison

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5,646 views|4,666 comparisons
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12,855 views|9,143 comparisons
Featured Review
Buyer's Guide
Data Science Platforms
June 2022
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Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"The documentation is excellent and the solution has a very large and active community that supports it.""With Anaconda Navigator, we have been able to use multiple IDEs such as JupyterLab, Jupyter Notebook, Spyder, Visual Studio Code, and RStudio in one place. The platform-agnostic package manager, "Conda", makes life easy when it comes to managing and installing packages.""It's interesting. It's user friendly. That's what makes it outstanding among the others. It has a collection of R, Python, and others. Their platform strategy has a collection of many other visualization tools, apart from Spyder and RStudio, which is really helpful for data science. For any data science professional, Anaconda is really handy. It has almost all the tools for data science."

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"Its user-friendliness is valuable. It is a product for end-users and not for IT, which is an advantage.""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 solution is stable.""The ability to collaborate and plan together is great.""Planning and integration are the most valuable features. It is useful for planning, and it is useful for integrating with on-prem or cloud SAP solutions.""Offers both business intelligence as well as inbuilt AI and machine learning capabilities.""It's so user-friendly.""I like the connectivity the solution provides with other products."

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Cons
"When you install Anaconda for the first time, it's really difficult to update it.""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.""Anaconda should be optimized for RAM consumption."

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"The scope is limited to a few accounts.""AI doesn't work as well with SAP live connections.""The solution should include other scripting languages as well, such as Python.""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.""It's lacking a bit in maturity and we find we can't run our business off it until it's improved.""What should be improved in SAP Analytics Cloud is the speed of importing information and data, e.g. from SAP S/4HANA. Gathering the data from the main database takes a bit of time.""They need more support for more languages, Python for example.""The business intelligence features should be improved because there is a lack of functionality regarding that part."

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Pricing and Cost Advice
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  • "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."
  • "The pricing of this product is reasonable."
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    Questions from the Community
    Top Answer:With Anaconda Navigator, we have been able to use multiple IDEs such as JupyterLab, Jupyter Notebook, Spyder, Visual Studio Code, and RStudio in one place. The platform-agnostic package manager… more »
    Top Answer:The solution's support is important and needs to be better. I don't have the last update due to the fact that when I tried to update it I had an error and ran into issues. It's not just me; lots of… more »
    Top Answer:In Anaconda, we get everything: RStudio, Spyder, and Jupyter. R Studio is for R, and Spyder and Jupyter are for Python. Using these, we will be doing data wrangling and data modeling for a developing… 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:Its user-friendliness is valuable. It is a product for end-users and not for IT, which is an advantage.
    Ranking
    11th
    Views
    5,646
    Comparisons
    4,666
    Reviews
    2
    Average Words per Review
    343
    Rating
    9.0
    Views
    12,855
    Comparisons
    9,143
    Reviews
    24
    Average Words per Review
    558
    Rating
    8.0
    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.

    Offer
    Learn more about Anaconda
    Learn more about SAP Analytics Cloud
    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 Firm20%
    Manufacturing Company20%
    Pharma/Biotech Company10%
    Computer Software Company10%
    VISITORS READING REVIEWS
    Computer Software Company22%
    Comms Service Provider15%
    Financial Services Firm13%
    Government8%
    REVIEWERS
    Computer Software Company33%
    Retailer7%
    Consumer Goods Company7%
    Manufacturing Company7%
    VISITORS READING REVIEWS
    Computer Software Company30%
    Comms Service Provider13%
    Manufacturing Company7%
    Government6%
    Company Size
    REVIEWERS
    Small Business44%
    Large Enterprise56%
    VISITORS READING REVIEWS
    Small Business16%
    Midsize Enterprise15%
    Large Enterprise69%
    REVIEWERS
    Small Business26%
    Midsize Enterprise24%
    Large Enterprise50%
    VISITORS READING REVIEWS
    Small Business14%
    Midsize Enterprise13%
    Large Enterprise72%
    Buyer's Guide
    Data Science Platforms
    June 2022
    Find out what your peers are saying about Databricks, Alteryx, Knime and others in Data Science Platforms. Updated: June 2022.
    610,518 professionals have used our research since 2012.

    Anaconda is ranked 11th in Data Science Platforms with 3 reviews while SAP Analytics Cloud is ranked 5th in BI (Business Intelligence) Tools with 24 reviews. Anaconda is rated 9.0, while SAP Analytics Cloud is rated 8.0. The top reviewer of Anaconda writes "Good virtualization, great documentation, and has an active supportive community". On the other hand, the top reviewer of SAP Analytics Cloud writes "Enables us to allocate, spread, and distribute actual figures". Anaconda is most compared with Amazon SageMaker, Databricks, Microsoft Azure Machine Learning Studio, Cloudera Data Science Workbench and KNIME, whereas SAP Analytics Cloud is most compared with Tableau, SAP BusinessObjects Business Intelligence Platform, Microsoft BI, IBM Planning Analytics and Google Data Studio.

    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.