Dremio vs Oracle Analytics Cloud comparison

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Dremio Logo
2,683 views|2,043 comparisons
100% 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 Dremio 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).
770,292 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 valuable feature of Dremio is it can sit on top of any other data storage, such as Amazon S3, Azure Data Factory, SGFS, or Hive. The memory competition is good. If you are running any kind of materialized view, you'd be running in memory.""Dremio allows querying the files I have on my block storage or object storage.""Dremio enables you to manage changes more effectively than any other data warehouse platform. There are two things that come into play. One is data lineage. If you are looking at data in Dremio, you may want to know the source and what happened to it along the way or how it may have been transformed in the data pipeline to get to the point where you're consuming it.""Dremio gives you the ability to create services which do not require additional resources and sterilization.""We primarily use Dremio to create a data framework and a data queue.""Everyone uses Dremio in my company; some use it only for the analytics function."

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"The technical support services are good.""It has the best feature for data augmentation.""This is a stable and scalable solution.""The best feature may be data flow, which is used to prepare and clean data.""It's great for consolidation and creating one source of truth.""The solution can scale.""It's valuable feature is that it is user-friendly and doesn't require much time for understanding. The solution is stable. The initial setup was straightforward.""The solution is user-friendly."

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Cons
"They have an automated tool for building SQL queries, so you don't need to know SQL. That interface works, but it could be more efficient in terms of the SQL generated from those things. It's going through some growing pains. There is so much value in tools like these for people with no SQL experience. Over time, Dermio will make these capabilities more accessible to users who aren't database people.""Dremio takes a long time to execute large queries or the executing of correlated queries or nested queries. Additionally, the solution could improve if we could read data from the streaming pipelines or if it allowed us to create the ETL pipeline directly on top of it, similar to Snowflake.""We've faced a challenge with integrating Dremio and Databricks, specifically regarding authentication. It is not shaking hands very easily.""It shows errors sometimes.""I cannot use the recursive common table expression (CTE) in Dremio because the support page says it's currently unsupported.""Dremio doesn't support the Delta connector. Dremio writes the IT support for Delta, but the support isn't great. There is definitely room for improvement."

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"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.""When we have, for example, a table with low performance, we have several issues with drawing some graphics in the Oracle cloud.""The product could benefit from increased flexibility compared to other vendors.""Oracle Analytics Cloud is lacking in charts. They should add more charts to it.""The learning curve should be improved, and I'm uncertain if tutorials are readily available or easily accessible. We may have resorted to looking on YouTube for such information. Having easily understandable documents or guides for new users would be beneficial. AI integration would be an interesting feature to add in the next release.""Its FAW feature has limitations in terms of usage.""Analytics Cloud allows you to merge various data types and structure data from multiple sources.""Sharing dataflows is not possible at this time, and the custom chart functionality is not available."

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Pricing and Cost Advice
  • "Right now the cluster costs approximately $200,000 per month and is based on the volume of data we have."
  • "Dremio is less costly competitively to Snowflake or any other tool."
  • More Dremio 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:Dremio allows querying the files I have on my block storage or object storage.
    Top Answer:Every tool has a value based on its visualization, and the pricing is worth its value.
    Top Answer:Dremio's interface is good, but it has a few limitations. I cannot do a lot of things with ANSI SQL or basic SQL. I cannot use the recursive common table expression (CTE) in Dremio because the support… 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
    9th
    Views
    2,683
    Comparisons
    2,043
    Reviews
    6
    Average Words per Review
    530
    Rating
    8.7
    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
    Dremio
    Video Not Available
    Overview

    Dremio is a data lake query engine tool that creates PDSs and VDSs on top of S3 buckets. It is used for managing simple ad-hoc queries and as a greater layer for ad-hoc queries. The most valuable features of Dremio include its ability to sit on top of any data storage, generate refresh reflections and create visuals, manage changes effectively through data lineage and data providence capabilities, use open-source, and address the problem of data transfer when working with large datasets. The use cases are broad, allowing for high-performance queries from a data lake.

    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
    UBS, TransUnion, Quantium, Daimler, OVH
    Sejong Hospital
    Top Industries
    VISITORS READING REVIEWS
    Financial Services Firm30%
    Computer Software Company11%
    Manufacturing Company8%
    Retailer4%
    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
    VISITORS READING REVIEWS
    Small Business16%
    Midsize Enterprise11%
    Large Enterprise73%
    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.
    770,292 professionals have used our research since 2012.

    Dremio is ranked 9th in Data Science Platforms with 6 reviews while Oracle Analytics Cloud is ranked 9th in BI (Business Intelligence) Tools with 24 reviews. Dremio is rated 8.6, while Oracle Analytics Cloud is rated 8.0. The top reviewer of Dremio writes "It enables you to manage changes more effectively than any other platform". 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". Dremio is most compared with Databricks, Snowflake, Starburst Enterprise, Amazon Redshift and Microsoft Azure Synapse Analytics, 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.