"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."
"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."
"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."
"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."
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
SAP Analytics Cloud Key Features
SAP Analytics Cloud Benefits
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.
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.