Compare Anaconda vs. SAP Analytics Cloud

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Anaconda Logo
4,825 views|3,776 comparisons
SAP Analytics Cloud Logo
10,244 views|7,614 comparisons
Most Helpful Review
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Find out what your peers are saying about Alteryx, Databricks, Knime and others in Data Science Platforms. Updated: January 2021.
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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
"It helped us find find the optimal area for where our warehouse should be located.""The best part of Anaconda is the media distribution that comes as part of it. It gets us started very quickly.""The most advantageous feature is the logic building.""The solution is stable.""The notebook feature is an improvement over RStudio.""The most valuable feature is the set of libraries that are used to support the functionality that we require.""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.""The virtual environment is very good."

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"The new Application Design option offers lots of customization options by being able to script in Typescript (similar to Javascript).""All of the modules that we used to have separately in our on-premises solution are now integrated into one platform.""The Smart Predict, Smart Insights, and Smart Discovery predictive analysis features are quite good.""The most valuable features are the visualization and user-friendliness.""The ease of use of the solution is its most valuable feature. We haven't tried all of the features yet. The graphing and the ease of using the analytics tools have been great. It's all drag and drop; you don't need to code anything.""Provides rich features for developing automated reports and dashboards.""The user interface is quite good for developing reports out of models.""Planning is the most valuable feature of the product because it's integrated and that means we don't need to rely on an independent planning environment."

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Cons
"I think better documentation or a step-by-step guide for installation would help, especially for on-premise users.""The ability to schedule scripts for the building and monitoring of jobs would be an advantage for this platform.""The interface could be improved. Other solutions, like Visual Studio, have much better UI.""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.""I think that the framework can be improved to make it easier for people to discover and use things on their own.""Having a small guide or video on the tool would help learn how to use it and what the features are.""The solution would benefit from offering more automation.""One thing that hurts the product is that the company is not doing more to advertise it as a solution and make it more well known."

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"There should be more features for the time series charts.""I would like to see reporting to the Analytics cloud directly.""Some of the standard visualizations, such as a speedometer or a goal chart, are not there and should be added.""We are currently working on connectivity with S/4HANA, but we would like to have better connectivity with our legacy systems.""Statistical analysis should be a bit more profound than it is.""SAP Analytics cloud needs better exporting options.""There is no direct connector from SAP to Redshift, so we are required to use a third-party product that was recommended by SAP.""When it comes to planning there is a concern about the ability to match the exact requirements of the customer with what the product offers."

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Pricing and Cost Advice
"The licensing costs for Anaconda are reasonable.""The product is open-source and free to use."

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"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."

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Top Answer: I like the predictive features of SAP. It's easy to use tools for an end-user.
Top Answer: Pricing is fine for the BI license, but when it comes to client license, that fee is a bit high.
Top Answer: We are a consultant, so we build solutions for customers. Some of their use cases are for dashboarding, business intelligence, predictive capabilities, and planning.
Ranking
6th
Views
4,825
Comparisons
3,776
Reviews
11
Average Words per Review
477
Rating
7.7
Views
10,244
Comparisons
7,614
Reviews
18
Average Words per Review
632
Rating
8.3
Popular Comparisons
Compared 11% of the time.
Compared 9% of the time.
Compared 8% of the time.
Compared 6% of the time.
Compared 21% of the time.
Compared 18% of the time.
Also Known As
SAP BusinessObjects Cloud
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Anaconda
SAP
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

The SAP® Analytics Cloud solution offers all analytics capabilities for all users in one product. In the boardroom, at the office, or in front of a customer, you can discover, analyze, plan, predict, and collab­orate in one integrated experience designed expressly for the cloud. Access all data and embed analytics directly into business processes to turn instant insight into quick action. Because we built it on the high­performance SAP Cloud Platform, you can trust the solution to work quickly and reliably.

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, BridgestoneLive Oak Bank
Top Industries
REVIEWERS
Financial Services Firm25%
Manufacturing Company25%
Non Tech Company13%
Pharma/Biotech Company13%
VISITORS READING REVIEWS
Computer Software Company21%
Comms Service Provider17%
Financial Services Firm11%
University7%
REVIEWERS
Computer Software Company63%
Financial Services Firm13%
Logistics Company13%
Educational Organization13%
VISITORS READING REVIEWS
Computer Software Company46%
Comms Service Provider13%
Manufacturing Company4%
Retailer4%
Company Size
REVIEWERS
Small Business40%
Large Enterprise60%
REVIEWERS
Small Business23%
Midsize Enterprise27%
Large Enterprise50%
Find out what your peers are saying about Alteryx, Databricks, Knime and others in Data Science Platforms. Updated: January 2021.
456,966 professionals have used our research since 2012.

Anaconda is ranked 6th in Data Science Platforms with 11 reviews while SAP Analytics Cloud is ranked 4th in Business Intelligence (BI) Tools with 18 reviews. Anaconda is rated 7.8, while SAP Analytics Cloud is rated 8.4. The top reviewer of Anaconda writes "Responsive, sleek and had a beautiful interface that is pleasant to use". 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, Cloudera Data Science Workbench, Microsoft BI, Databricks and IBM Watson Studio, whereas SAP Analytics Cloud is most compared with SAP BusinessObjects Business Intelligence Platform, Microsoft BI, Tableau, Oracle Analytics Cloud and MicroStrategy.

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