Dremio vs Oracle Exadata comparison

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Dremio Logo
1,073 views|807 comparisons
100% willing to recommend
Oracle Logo
8,274 views|6,055 comparisons
89% willing to recommend
Comparison Buyer's Guide
Executive Summary

We performed a comparison between Dremio and Oracle Exadata based on real PeerSpot user reviews.

Find out in this report how the two Cloud Data Warehouse solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
To learn more, read our detailed Dremio vs. Oracle Exadata Report (Updated: May 2024).
772,679 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
"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.""Dremio gives you the ability to create services which do not require additional resources and sterilization.""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 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 allows querying the files I have on my block storage or object storage."

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"It is the best solution for OLTP and data warehousing.""On-premises Exadata is just as stable as the cloud version. It's a very stable platform.""They just have a lot of products, and they work well together.""The performance of the data is the most important part.""The most valuable feature of Oracle Exadata is the integration with other solutions, such as SAN storage and shared VLAN network.""We like the tool’s features like Smart Scan, Hybrid Columnar Compression, and the TFA.""The most valuable feature of Oracle Exadata is the smart scan. We have large TB sessions of approximately 100 per second for each of our three instances. The smart scan allows us the obtain data in time in the enterprise manager.""A very stable solution, which we have hardly any problems with."

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Cons
"It shows errors sometimes.""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 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.""We've faced a challenge with integrating Dremio and Databricks, specifically regarding authentication. It is not shaking hands very easily.""I cannot use the recursive common table expression (CTE) in Dremio because the support page says it's currently unsupported.""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."

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"There is room for improvement with the handling of the Temp IO, which is often used for JOIN statements.""Oracle Exadata could improve the platform performance tuning should be easier, automated, and user-friendly.""The initial setup process is very difficult and extremely complex.""We have experienced some issues with processing unstructured data on Exadata. This is an important requirement for our AIML based use case. Reactive analytics data can not be prepared easily in Oracle Exadata.""License or upgrade management can be difficult and time consuming because it requires login to a separate console.""Sometimes it takes too long time to get help with technical issues.""A room for improvement in Oracle Exadata is that it's not very easy to use in a microservices environment. It's not easy to split databases, and if this was easier to do in Oracle Exadata, it would make the solution better. What I'd like to see in the next release of Oracle Exadata is for it to become more modular, so you can use it in a context where the data layer is spread between many independent services.""Certification should also be improved. Today, Oracle doesn't certify applications with engineered systems."

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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 →

  • "In the sizing phase, you can also decide whether to license all cores, or reduce the number cores using capacity-on-demand features of Exadata, as well. This has a direct impact on licensing."
  • "The Initial investment price could use improvement"
  • "I think it's free."
  • "The price is very high."
  • "Exadata is an expensive tool, but, considering the ROI, it's worth going for the solution."
  • "Oracle is always costly but it's fine."
  • "It is an expensive product and you pay more for certain performance enhancements."
  • "All things considered, the price of this product is fairly high, as is always the case with Oracle."
  • More Oracle Exadata 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:It is the best solution for OLTP and data warehousing.
    Top Answer:The solution’s cost is a little bit more than the traditional databases. Less cost would enable most customers to choose the product.
    Top Answer:Patching must be simplified. We have various levels of patching in the solution. Most of them are online, split into various components. A single way of patching would be better.
    Ranking
    11th
    Views
    1,073
    Comparisons
    807
    Reviews
    6
    Average Words per Review
    530
    Rating
    8.7
    2nd
    out of 35 in Data Warehouse
    Views
    8,274
    Comparisons
    6,055
    Reviews
    20
    Average Words per Review
    501
    Rating
    8.7
    Comparisons
    Learn More
    Dremio
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    Overview

    Dremio is a data analytics platform designed to simplify and expedite the data analysis process by enabling direct querying across multiple data sources without the need for data replication. This solution stands out due to its approach to data lake transformation, offering tools that allow users to access and query data stored in various formats and locations as if it were all in a single relational database.

    At its core, Dremio facilitates a more streamlined data management experience. It integrates easily with existing data lakes, allowing organizations to continue using their storage of choice, such as AWS S3, Microsoft ADLS, or Hadoop, without data migration. Dremio supports SQL queries, which means it seamlessly integrates with familiar BI tools and data science frameworks, enhancing user accessibility and reducing the learning curve typically associated with adopting new data technologies.

    What Are Dremio's Key Features?

    • Data Reflections: Reduces query times by creating optimized representations of source data, which can accelerate performance without the complexity of traditional data warehousing solutions.
    • Semantic Layer: Allows users to define business metrics and dimensions centrally, ensuring consistency and governance across all analytics tools.
    • Built-in Security Features: Provides robust security measures, including column- and row-level security, ensuring compliance with data governance and privacy standards.
    • Support for Multiple Data Formats and Sources: Enables querying directly against a variety of data formats (Parquet, JSON, etc.) and sources without the need for conversion or replication.

    What Benefits Should Users Expect?

    When evaluating Dremio, potential users should look for feedback on its query performance, especially in environments with large and complex data sets. Reviews might highlight the efficiency gains from using Dremio’s data reflections and its ability to integrate with existing BI tools without significant changes to underlying data structures. Also, check how other users evaluate its ease of deployment and scalability, particularly in hybrid and cloud environments.

    How is Dremio Implemented Across Different Industries?

    Dremio is widely applicable across various industries, including finance, healthcare, and retail, where organizations benefit from rapid, on-demand access to large volumes of data spread across disparate systems. For instance, in healthcare, Dremio can be used to analyze patient outcomes across different data repositories, improving treatment strategies and operational efficiencies.

    What About Dremio’s Pricing, Licensing, and Support?

    Dremio offers a flexible pricing model that caters to different sizes and types of businesses, including a free community version for smaller teams and proof-of-concept projects. Their enterprise version is subscription-based, with pricing varying based on the deployment scale and support needs. Customer support is comprehensive, featuring dedicated assistance, online resources, and community support.

    Oracle Exadata allows enterprises to run any Oracle Database workload with the highest performance, scale, availability, and security on fully compatible cloud and on-premises infrastructure. Exadata uses a scale-out design with unique optimizations that include persistent memory, SQL query offload, and built-in resource management to optimize performance for OLTP, analytics, machine learning, and mixed workloads running in consolidated environments. By running hundreds or thousands of optimized Autonomous Database and Exadata Database instances on Exadata Cloud or Cloud@Customer infrastructure, customers are able to minimize their infrastructure, reduce management, improve developer productivity, and lower total costs by up to 40%, as described in Wikibon’s analysis (PDF).

    The main benefit of Exadata is its speed. It hosts operating systems, CPU memory, and hard drives. It runs all types of databases, including online transaction systems, processors, and data warehouses, while remedying the poor performances of older databases.

    Oracle Exadata features a simple and fast database storage system that protects and backs up your critical data. It accelerates data warehouse performance for faster access to business information and data. It is the ideal database solution for companies looking to build up their infrastructure from scratch.

    Oracle Exadata Database Machine Key Benefits

    • Rapid, reliable, and scalable deployment: Exadata is the most cost-efficient and highest performance platform for running Oracle databases. Exadata’s deployment is very straightforward since the database servers, storage servers, and network are pre-configured, pre-tuned and pre-tested by Oracle experts. This ensures that all your components work seamlessly together. Any Oracle Database application can be seamlessly migrated to and from the Exadata Database Machine, with no changes to the original application.

    • Powerful, cutting-edge hardware: Exadata is the most versatile database platform. It uses powerful database servers and a scaled-out, intelligent storage layer.

    • Accelerate database processing: Exadata Storage Server implements a unique, highly efficient database-optimized storage infrastructure that enables Exadata’s unparalleled performance without any of the bottlenecks that traditional storage experiences. Each storage server contains CPU processors that are used to offload database processing. The CPUs in the storage servers do not replace database CPUs, but work alongside them to accelerate database workloads.

    Reviews from Real Users

    Oracle Exadata stands out among its competitors for a number of reasons. Two major ones are its robust performance and its wide variety of database features that make it a comprehensive database solution.

    Adriano S., an IT system integrator at a financial services firm, writes, "Oracle Exadata's performance is one of its best features. We are very satisfied with it. The previous equipment used to make a payment for all the government employees used to take at least two days for some of the transactions. Now, it will take hours to make the same amount of payments. Another thing is the flexibility to organize all our databases. We can use it with new features that come with this version of Oracle 19c, which is the container database. With container databases, we can work with many databases, organized, and segregated, and still access the functions and management, the things that most of the technical people like to have in place."

    Paulo X., a sales manager at LTA-RH Informatica, notes, "Regarding features, there are so many that we can offer to customers. When we sell Exadata Cloud, there are many options to choose from, especially when it comes to enterprise database options. In my experience, the main features that are appreciated are various ones like GPS and the assortment of security options."

    Sample Customers
    UBS, TransUnion, Quantium, Daimler, OVH
    PayPal, EBS, Organic Food Retailer, Garmin, University of Minnesota, Major Semiconductor Company, Deutsche Bank, Starwood, Ziraat Bank, SK Telecom, and P&G.
    Top Industries
    VISITORS READING REVIEWS
    Financial Services Firm31%
    Computer Software Company11%
    Manufacturing Company8%
    Retailer4%
    REVIEWERS
    Financial Services Firm24%
    Comms Service Provider17%
    Insurance Company16%
    Computer Software Company8%
    VISITORS READING REVIEWS
    Financial Services Firm28%
    Computer Software Company13%
    Manufacturing Company6%
    Energy/Utilities Company5%
    Company Size
    VISITORS READING REVIEWS
    Small Business16%
    Midsize Enterprise11%
    Large Enterprise73%
    REVIEWERS
    Small Business30%
    Midsize Enterprise9%
    Large Enterprise61%
    VISITORS READING REVIEWS
    Small Business15%
    Midsize Enterprise11%
    Large Enterprise74%
    Buyer's Guide
    Dremio vs. Oracle Exadata
    May 2024
    Find out what your peers are saying about Dremio vs. Oracle Exadata and other solutions. Updated: May 2024.
    772,679 professionals have used our research since 2012.

    Dremio is ranked 11th in Cloud Data Warehouse with 6 reviews while Oracle Exadata is ranked 2nd in Data Warehouse with 125 reviews. Dremio is rated 8.6, while Oracle Exadata is rated 8.4. 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 Exadata writes "Offers a variety of valuable features". Dremio is most compared with Databricks, Snowflake, Starburst Enterprise, Amazon Redshift and Microsoft Azure Synapse Analytics, whereas Oracle Exadata is most compared with Oracle Database Appliance, Teradata, Oracle Autonomous Data Warehouse, Snowflake and Amazon Redshift. See our Dremio vs. Oracle Exadata report.

    See our list of best Cloud Data Warehouse vendors.

    We monitor all Cloud Data Warehouse 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.