Anaconda vs Oracle Analytics Cloud comparison

Cancel
You must select at least 2 products to compare!
Anaconda Logo
2,704 views|2,040 comparisons
94% willing to recommend
Oracle Logo
7,004 views|3,909 comparisons
77% willing to recommend
Comparison Buyer's Guide
Executive Summary

We performed a comparison between Anaconda and Oracle 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: April 2024).
769,662 professionals have used our research since 2012.
Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"The most advantageous feature is the logic building.""The solution is stable.""The notebook feature is an improvement over RStudio.""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 documentation is excellent and the solution has a very large and active community that supports it.""The best part of Anaconda is the media distribution that comes as part of it. It gets us started very quickly.""The virtual environment is very good.""The most valuable feature is the set of libraries that are used to support the functionality that we require."

More Anaconda Pros →

"I've discovered that the new layout of this product makes Docker sharing, machine learning support, and data backups more efficient. Unlike the older method of linking physical, pre-logical, and presentation layers separately, the new interface simplifies this process. Additionally, the integration of databases and machine learning is seamless, with the new visualization approach being particularly beautiful and highly beneficial.""Data preparation is fantastic and fast. We were able to use multiple data sources and prepare the data quickly.""A valuable feature is the speed of the solution.""The best feature may be data flow, which is used to prepare and clean data.""The solution is user-friendly.""The product is easily customized.""The most valuable features of the solution are dashboarding and data visualization.""It has the best feature for data augmentation."

More Oracle Analytics Cloud Pros →

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.""I think that the framework can be improved to make it easier for people to discover and use things on their own.""The solution would benefit from offering more automation.""The interface could be improved. Other solutions, like Visual Studio, have much better UI.""Anaconda should be optimized for RAM consumption.""When you install Anaconda for the first time, it's really difficult to update it.""Having a small guide or video on the tool would help learn how to use it and what the features are."

More Anaconda Cons →

"As with most BI tools, the visualizations can be made much nicer. Currently, it has standard visualizations. They've been adding new visualizations, but we see animated visualizations from other vendors. It would be nice to have similar visualizations, such as the swarming visualizations, which are fairly new and very popular at the moment. I haven't seen that with Oracle. That would be nice.""The scalability has room for improvement.""One area of improvement is associated with more connectors needing to be added such as Microsoft OneDrive, Teradata and a few others. I think the list is limited to the top ones now.""Sharing dataflows is not possible at this time, and the custom chart functionality is not available.""Oracle Analytics Cloud is lacking in charts. They should add more charts to it.""Its FAW feature has limitations in terms of usage.""It is less scalable than Snowflake.""The solution could be more flexible."

More Oracle Analytics Cloud Cons →

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."
  • More Anaconda Pricing and Cost Advice →

  • "Bottom line, the cost is really, really cheap compared to other solutions. Oracle has made a huge effort on the pricing."
  • "The price is reasonable; it's quite a bit lower than Tableau and Spotfire."
  • "I don't know the exact cost, but its pricing was good. Its pricing was competitive. I would rate it a three out of five in terms of pricing."
  • "I would rate it a five out of five in terms of the value received for the price charge."
  • "We pay on a monthly basis and it is $10 per user each month."
  • "It is an expensive platform."
  • "I rate the product's pricing a nine on a scale of one to ten, where one is cheap, and ten is expensive."
  • "The product’s pricing is expensive. However, feature-wise, it fits the requirements of enterprise customers."
  • More Oracle Analytics Cloud Pricing and Cost Advice →

    report
    Use our free recommendation engine to learn which Data Science Platforms solutions are best for your needs.
    769,662 professionals have used our research since 2012.
    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 could benefit from improvement in its user interface to make it more attractive and user-friendly. Currently, it's boring.
    Top Answer:Oracle OBIEE is designed to be relatively easy to set up and has a helpful customer support staff at the ready to assist customers. These are two attributes that make this system quite valuable. OBIEE… more »
    Top Answer:Oracle Analytics Cloud's most valuable feature is its visualization.
    Top Answer:The tool's pricing is not unreasonable or non-competitive.
    Ranking
    13th
    Views
    2,704
    Comparisons
    2,040
    Reviews
    2
    Average Words per Review
    457
    Rating
    8.0
    Views
    7,004
    Comparisons
    3,909
    Reviews
    13
    Average Words per Review
    428
    Rating
    7.8
    Comparisons
    Also Known As
    Oracle Analytics Cloud Service, OAC, Oracle Data Visualization, Oracle Data Visualization Cloud Service, ODV
    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

    Oracle Analytics is a complete platform with ready-to-use services for a wide variety of workloads and data.

    Oracle Analytics allows businesses to add AI and machine learning capabilities to any application—and as part of our integrated suite of cloud services to comply with data security and connected without disrupting business operations.

    Offering valuable, actionable insights from all types of data—in the cloud, on-premises, or in a hybrid deployment—Oracle Analytics empowers business users, data engineers, and data scientists to access and process relevant data, evaluate predictions, and make quick, accurate decisions.

    Oracle Analytics Cloud Features

    Oracle Analytics Cloud has many valuable key features. Some of the most useful ones include:

    • Intelligent search
    • Smart data discovery
    • Smart data preparation
    • Natural language
    • Auto suggest
    • Visualization
    • Dashboarding
    • Global transformation policies
    • Smart collaboration
    • Integrated data science
    • Enterprise architecture and security
    • Platform extensibility
    • Smart data connectors

    Oracle Analytics Cloud Benefits

    There are many benefits to implementing Oracle Analytics Cloud. Some of the biggest advantages the solution offers include:

    • Flexibility: Oracle Analytics Cloud gives you the flexibility to grow and change as your business does. At the same time, it puts you in complete control of your analytics environment by allowing you to analyze data and accommodate changing demand easily.
    • Scalable: Oracle Analytics Cloud is a single, centralized solution that provides everything you need in a scalable environment to support varied user requirements for your organization right now and in the future as well.
    • Comprehensive analytics: With Oracle Analytics Cloud, existing services are combined with new ones to deliver comprehensive analytics in the cloud. It provides everything you need for analytic agility, from fast, fluid self-service discovery to data loading and blending, inline data prep, data enrichment, automatic visualizations, data storytelling, and more.
    • Cost-effectiveness: The solution is cost-effective and reduces your total cost of ownership (TCO).
    • Innovation: Use the latest data analytics technologies, such as AI, machine learning, and natural language processing. Oracle Analytics has been recognized by industry experts for its innovations and robust architecture.

    Reviews from Real Users

    Below are some reviews and helpful feedback written by PeerSpot users currently using the Oracle Analytics Cloud solution.

    Fabricio Q., Data Analytics Manager, says, “The main functionality is great and everything is pretty standard and easy to use. It's great for consolidation and creating one source of truth. The initial setup is pretty straightforward.”

    PeerSpot user, Eric B., Independent Consultant - Oracle BI Applications at Desjardins, mentions “It's really an enterprise solution. It has standard dashboarding functionality. It also has reporting capabilities for producing pixel-perfect reports, bursting large volumes of a document if you need to. It has interactive data discovery functionality, which you would use to explore your data, bring your own data, and merge it with maybe the data from an enterprise data warehouse to get new insights from the pre-existing data. It has machine learning embedded in the solution.”

    Gaurav S., Vice President Credit Risk Management at a financial services firm, explains, “From a financial or bank perspective, this product is secure enough. The dashboards, analytics, visualizations, and different reports are valuable for business analytics. The AI/ML enablement is useful, as many reporting tools do not offer machine learning models as of now, without writing customized code.”

    Another reviewer, Trinh P., Delivery Manager at Sift Ag, comments, "The specific capability I find important in Oracle Analytics Cloud is that it allows the basic user to easily drag and drop data. I also like that the solution allows the user to decide what to measure and what to see in the reports."

    Sample Customers
    LinkedIn, NASA, Boeing, JP Morgan, Recursion Pharmaceuticals, DARPA, Microsoft, Amazon, HP, Cisco, Thomson Reuters, IBM, Bridgestone
    Sejong Hospital
    Top Industries
    REVIEWERS
    Financial Services Firm27%
    Manufacturing Company18%
    Non Tech Company9%
    Energy/Utilities Company9%
    VISITORS READING REVIEWS
    Financial Services Firm17%
    Computer Software Company9%
    Government9%
    Manufacturing Company6%
    REVIEWERS
    Financial Services Firm38%
    Individual & Family Service15%
    Computer Software Company15%
    Transportation Company15%
    VISITORS READING REVIEWS
    Educational Organization29%
    Financial Services Firm10%
    Computer Software Company9%
    Government7%
    Company Size
    REVIEWERS
    Small Business42%
    Midsize Enterprise5%
    Large Enterprise53%
    VISITORS READING REVIEWS
    Small Business18%
    Midsize Enterprise13%
    Large Enterprise69%
    REVIEWERS
    Small Business38%
    Midsize Enterprise23%
    Large Enterprise38%
    VISITORS READING REVIEWS
    Small Business13%
    Midsize Enterprise35%
    Large Enterprise52%
    Buyer's Guide
    Data Science Platforms
    April 2024
    Find out what your peers are saying about Databricks, Microsoft, Alteryx and others in Data Science Platforms. Updated: April 2024.
    769,662 professionals have used our research since 2012.

    Anaconda is ranked 13th in Data Science Platforms with 15 reviews while Oracle Analytics Cloud is ranked 9th in BI (Business Intelligence) Tools with 24 reviews. Anaconda is rated 7.8, while Oracle 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 Oracle Analytics Cloud writes "Reliable, capable of handling massive amounts of data, and good value for money". Anaconda is most compared with Databricks, Microsoft Azure Machine Learning Studio, Amazon SageMaker, Microsoft Power BI and IBM SPSS Statistics, whereas Oracle Analytics Cloud is most compared with Databricks, Oracle OBIEE, Tableau, Microsoft Power BI and Oracle Business Intelligence Cloud Service.

    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.