Databricks vs Oracle Analytics Cloud comparison

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Comparison Buyer's Guide
Executive Summary

We performed a comparison between Databricks and Oracle Analytics Cloud based on real PeerSpot user reviews.

Find out in this report how the two Data Science Platforms solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
To learn more, read our detailed Databricks vs. Oracle Analytics Cloud Report (Updated: February 2023).
765,234 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
"Databricks covers end-to-end data analytics workflow in one platform, this is the best feature of the solution.""The solution offers a free community version.""The initial setup phase of Databricks was good.""The solution is an impressive tool for data migration and integration.""The solution is very easy to use.""We can scale the product.""Ability to work collaboratively without having to worry about the infrastructure.""Databricks is a unified solution that we can use for streaming. It is supporting open source languages, which are cloud-agnostic. When I do database coding if any other tool has a similar language pack to Excel or SQL, I can use the same knowledge, limiting the need to learn new things. It supports a lot of Python libraries where I can use some very easily."

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"It's great for consolidation and creating one source of truth.""The technical support services are good.""Mobility is the most valuable feature for us. All employees can access it from anywhere. It is a big advantage for us.""The best feature may be data flow, which is used to prepare and clean data.""Analytics Cloud allows you to merge various data types and structure data from multiple sources.""The solution can scale.""It has the best feature for data augmentation.""It's really an enterprise solution. It has a dashboard, like 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. If you're new to machine learning, it's a really good way to get into it, because it's all within this platform, and it's really easy to use."

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Cons
"The solution has some scalability and integration limitations when consolidating legacy systems.""The query plan is not easy with Databrick's job level. If I want to tune any of the code, it is not easily available in the blogs as well.""Databricks' performance when serving the data to an analytics tool isn't as good as Snowflake's.""It would be better if it were faster. It can be slow, and it can be super fast for big data. But for small data, sometimes there is a sub-second response, which can be considered slow. In the next release, I would like to have automatic creation of APIs because they don't have it at the moment, and I spend a lot of time building them.""It's not easy to use, and they need a better UI.""The integration of data could be a bit better.""I would like to see more documentation in terms of how an end-user could use it, and users like me can easily try it and implement use cases.""The pricing of Databricks could be cheaper."

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"Analytics Cloud allows you to merge various data types and structure data from multiple sources.""It should simplify data connectivity and modeling, making data extraction more streamlined and adaptable for diverse use cases.""The product should improve its user interface. It should be welcoming and modern. Developers should also find it easier to build data models. Oracle Analytics Cloud needs to have better visualizations and more options in the marketplace.""Oracle Analytics Cloud is lacking in charts. They should add more charts to it.""When we have, for example, a table with low performance, we have several issues with drawing some graphics in the Oracle cloud.""They could improve the ease of developing the dashboard and interacting with it.""Its machine learning and visualization capabilities can be improved. There should be more visualization options.""Sharing dataflows is not possible at this time, and the custom chart functionality is not available."

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Pricing and Cost Advice
  • "Whenever we want to find the actual costing, we have to send an email to Databricks, so having the information available on the internet would be helpful."
  • "I do not exactly know the costs, but one of our clients pays between $100 USD and $200 USD monthly."
  • "Licensing on site I would counsel against, as on-site hardware issues tend to really delay and slow down delivery."
  • "We find Databricks to be very expensive, although this improved when we found out how to shut it down at night."
  • "The pricing depends on the usage itself."
  • "I am based in South Africa, where it is expensive adapting to the cloud, and then there is the price for the tool itself."
  • "The price is okay. It's competitive."
  • "Databricks uses a price-per-use model, where you can use as much compute as you need."
  • More Databricks 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 →

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    Questions from the Community
    Top Answer:Databricks gives you the option of working with several different languages, such as SQL, R, Scala, Apache Spark, or Python. It offers many different cluster choices and excellent integration with… more »
    Top Answer:We researched AWS SageMaker, but in the end, we chose Databricks Databricks is a Unified Analytics Platform designed to accelerate innovation projects. It is based on Spark so it is very fast. It… more »
    Top Answer:Databricks is an easy-to-set-up and versatile tool for data management, analysis, and business analytics. For analytics teams that have to interpret data to further the business goals of their… more »
    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
    1st
    Views
    30,172
    Comparisons
    19,226
    Reviews
    47
    Average Words per Review
    446
    Rating
    8.2
    Views
    7,563
    Comparisons
    4,247
    Reviews
    15
    Average Words per Review
    416
    Rating
    7.7
    Comparisons
    Also Known As
    Databricks Unified Analytics, Databricks Unified Analytics Platform, Redash
    Oracle Analytics Cloud Service, OAC, Oracle Data Visualization, Oracle Data Visualization Cloud Service, ODV
    Learn More
    Overview

    Databricks is an industry-leading data analytics platform which is a one-stop product for all data requirements. Databricks is made by the creators of Apache Spark, Delta Lake, ML Flow, and Koalas. It builds on these technologies to deliver a true lakehouse data architecture, making it a robust platform that is reliable, scalable, and fast. Databricks speeds up innovations by synthesizing storage, engineering, business operations, security, and data science.

    Databricks is integrated with Microsoft Azure, Amazon Web Services, and Google Cloud Platform. This enables users to easily manage a colossal amount of data and to continuously train and deploy machine learning models for AI applications. The platform handles all analytic deployments, ranging from ETL to models training and deployment.

    Databricks deciphers the complexities of processing data to empower data scientists, engineers, and analysts with a simple collaborative environment to run interactive and scheduled data analysis workloads. The program takes advantage of AI’s cost-effectivity, flexibility, and cloud storage.

    Databricks Key Features

    Some of Databricks key features include:

    • Cloud-native: Works well on any prominent cloud provider.
    • Data storage: Stores a broad range of data, including structured, unstructured, and streaming.
    • Self-governance: Built-in governance and security controls.
    • Flexibility: Flexible for small-scale jobs as well as running large-scale jobs like Big Data processing because it’s built from Spark and is specifically optimized for Cloud environments.
    • Data science tools: Production-ready data tooling, from engineering to BI, AI, and ML.
    • Familiar languages: While Databricks is Spark-based, it allows commonly used programming languages like R, SQL, Scala, and Python to be used.
    • Team sharing workspaces: Creates an environment that provides interactive workspaces for collaboration, which allow multiple members to collaborate for data model creation, machine learning, and data extraction.
    • Data source: Performs limitless Big Data analytics by connecting to Cloud providers AWS, Azure, and Google, as well as on-premises SQL servers, JSON and CSV.

    Reviews from Real Users

    Databricks stands out from its competitors for several reasons. Two striking features are its collaborative ability and its ability to streamline multiple programming languages.

    PeerSpot users take note of the advantages of these features. A Chief Research Officer in consumer goods writes, “We work with multiple people on notebooks and it enables us to work collaboratively in an easy way without having to worry about the infrastructure. I think the solution is very intuitive, very easy to use. And that's what you pay for.”

    A business intelligence coordinator in construction notes, “The capacity of use of the different types of coding is valuable. Databricks also has good performance because it is running in spark extra storage, meaning the performance and the capacity use different kinds of codes.”

    An Associate Manager who works in consultancy mentions, “The technology that allows us to write scripts within the solution is extremely beneficial. If I was, for example, able to script in SQL, R, Scala, Apache Spark, or Python, I would be able to use my knowledge to make a script in this solution. It is very user-friendly and you can also process the records and validation point of view. The ability to migrate from one environment to another is useful.”

    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
    Elsevier, MyFitnessPal, Sharethrough, Automatic Labs, Celtra, Radius Intelligence, Yesware
    Sejong Hospital
    Top Industries
    REVIEWERS
    Computer Software Company25%
    Financial Services Firm16%
    Retailer9%
    Manufacturing Company9%
    VISITORS READING REVIEWS
    Financial Services Firm15%
    Computer Software Company12%
    Manufacturing Company8%
    Healthcare Company6%
    REVIEWERS
    Financial Services Firm38%
    Individual & Family Service15%
    Computer Software Company15%
    Transportation Company15%
    VISITORS READING REVIEWS
    Educational Organization28%
    Financial Services Firm10%
    Computer Software Company9%
    Government7%
    Company Size
    REVIEWERS
    Small Business27%
    Midsize Enterprise14%
    Large Enterprise59%
    VISITORS READING REVIEWS
    Small Business17%
    Midsize Enterprise11%
    Large Enterprise71%
    REVIEWERS
    Small Business36%
    Midsize Enterprise24%
    Large Enterprise40%
    VISITORS READING REVIEWS
    Small Business13%
    Midsize Enterprise34%
    Large Enterprise53%
    Buyer's Guide
    Databricks vs. Oracle Analytics Cloud
    February 2023
    Find out what your peers are saying about Databricks vs. Oracle Analytics Cloud and other solutions. Updated: February 2023.
    765,234 professionals have used our research since 2012.

    Databricks is ranked 1st in Data Science Platforms with 77 reviews while Oracle Analytics Cloud is ranked 8th in BI (Business Intelligence) Tools with 23 reviews. Databricks is rated 8.2, while Oracle Analytics Cloud is rated 8.0. The top reviewer of Databricks writes "A nice interface with good features for turning off clusters to save on computing". 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". Databricks is most compared with Amazon SageMaker, Informatica PowerCenter, Microsoft Azure Machine Learning Studio, Dataiku Data Science Studio and Domino Data Science Platform, whereas Oracle Analytics Cloud is most compared with Oracle OBIEE, Tableau, Microsoft Power BI, Oracle Business Intelligence Cloud Service and Qlik Sense. See our Databricks vs. Oracle Analytics Cloud report.

    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.