Oracle Database Appliance vs Snowflake comparison

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3,045 views|2,195 comparisons
87% willing to recommend
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12,290 views|6,971 comparisons
96% willing to recommend
Comparison Buyer's Guide
Executive Summary

We performed a comparison between Oracle Database Appliance and Snowflake based on real PeerSpot user reviews.

Find out in this report how the two Data Warehouse solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
To learn more, read our detailed Oracle Database Appliance vs. Snowflake Report (Updated: March 2024).
768,415 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 the solution is the ability to combine all the data without the need for additional devices.""The performance due to the all-flash of ODA is very nice.""We primarily use it for OLTP, which has improved our costs.""We value the appliance architecture with its “everything-in-a-box” highly standardized setup.""Oracle Database Appliance is a stable solution. We have clients that have been running it for 10 years.""The solution is stable. The product is scalable. The technical support is very helpful. The initial setup is straightforward. I consider the product a strong solution for our customers.""The performance of the system is the solution's most valuable aspect. In combination with the database, it gives perfect results. It's a better system than using other kinds of integrated systems. In general, the ODA control is much simpler to use and offers up the best performance.""If the database goes down on one of the servers, the load is automatically shifted to another server. You can troubleshoot the one that is down without affecting uptime."

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"Snowflake has a variety of other ETL provisions that they provide. You can use your own ETL pipeline. Additionally, they provide adapters, and they are always evolving, it is a well-developed solution.""It has great flexibility whenever we are loading data and performs ELT (extract, load, transform) techniques instead of ETL.""The feature that is really striking is the ability to translate the SQL workloads into the NoSQL version that can be used by Snowflake.""The product is quite fast.""The speed of data loading and being able to quickly create the environment are most valuable.""The syntax is advanced which reduces the time to write code.""Data Science capabilities are the most valuable feature.""The features that I have found most valuable are the ease of use, the rapidness, how quickly the solution can be implemented, and of course that it's been very easy to move from the on-premise world to the Cloud world because Snowflake is based on SQL also."

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Cons
"The license cost could be cheaper, especially for long-term contracts.""The solution's initial setup is not easy.""They could incorporate a more secure and internet-centric management system for the platform.""The feature that I would like to see improve is the interface. It is really not good. I almost have to work on script by script in it. There is always some issue with the user interface.""Virtualization needs improvement. It's not easy to back up the virtual machines in the Oracle VM architecture. I would also like to see native support for Veeam Backup Software.""Technical support is not so great. It could be much better. The maintenance, for an enterprise system, isn't so great. It's also extremely expensive.""The setup is a bit complex.""The product's pricing is too high. We plan to migrate to another database in three to four years."

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"They need to incorporate some basic OLAP capabilities in the backend or at the database level. Currently, it is purely a database. They call it purely a data warehouse for the cloud. Currently, just like any database, we have to calculate all the KPIs in the front-end tools. The same KPIs again need to be calculated in Snowflake. It would be very helpful if they can include some OLAP features. This will bring efficiency because we will be able to create the KPIs within Snowflake itself and then publish them to multiple front-end tools. We won't have to recreate the same in each project. There should be the ability to automate raised queries, which is currently not possible. There should also be something for Exception Aggregation and things like that.""Portability is a big hurdle right now for our clients. Porting all of your existing SQL ecosystem, such as stored procedures, to Snowflake is a major pain point. Currently, Snowflake stored procedures use JavaScript, but they should support SQL-based stored procedures. It would be a huge advantage if you can write your stored procedures using SQL. It seems that they are working on this feature, and they are yet to release it. I remember seeing some notes saying that they were going to do that in the future, but the sooner this feature comes out, it would be better for Snowflake because there are a lot of clients with whom I'm interacting, and their main hurdle is to take their existing Oracle or SQL Server stored procedures and move them into Snowflake. For this, you need to learn JavaScript and how it works, which is not easy and becomes a little tricky. If it supports SQL-based procedures, then you can just cut-paste the SQL code, run it, and easily fix small issues.""The product's performance could be improved.""Snowflake has support for stored procedures, but it is not that powerful.""Snowflake has to build more capabilities because they have only built very few adapters, but they're growing and they're building. They should provide provisions to collect ETL pipeline capabilities, reduce developer work, and make more rapid application development, rather than some customizations. There are very few options, but they are building. I hope they will build ETL rapid application development provisions with more variety.""There is a need for improvements in the documentation, this would allow more people to switch over to this solution.""More data governance and access control features would be a welcome addition.""It would be better if they had a data profile tool that tells me where the gaps are in my time series data."

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Pricing and Cost Advice
  • "Get benefit from the capacity-on-demand features. License your cores according to your licenses."
  • "Leverage the Pay-As-You-Grow licensing, and consider using the ODA X6-2 S/M/L models also for SE2/SE."
  • "In regards to licensing, it is cheaper to maintain for Oracle applications, and it's an all-in-one solution."
  • "The price should be lower."
  • "You must pay for the license."
  • "The price of the solution should be less expensive. However, they will increase the price more."
  • "I don’t know ODA and alternative system prices. But Oracle the database license is quite expensive and a lot of my customers plan to migrate to open source databases like PostgreSQL."
  • "Compared to Oracle Exadata, Oracle Database Appliance is affordable."
  • More Oracle Database Appliance Pricing and Cost Advice →

  • "Pricing can be confusing for customers."
  • "The whole licensing system is based on credit points. You can also make a license agreement with the company so that you buy credit points and then you use them. What you do not use in one year can be carried over to the next year."
  • "You pay based on the data that you are storing in the data warehouse and there are no maintenance costs."
  • "It is not cheap."
  • "The pricing for Snowflake is competitive."
  • "On average, with the number of queries that we run, we pay approximately $200 USD per month."
  • "Pricing is approximately $US 50 per DB. Terabyte is around $US 50 per month."
  • "The price of Snowflake is very reasonable."
  • More Snowflake Pricing and Cost Advice →

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    Questions from the Community
    Top Answer:The product is excellent. It is simple and reliable in terms of installation and maintenance.
    Top Answer:The product is costly. However, it is the price is justifiable for the excellent technology it offers.
    Top Answer:They could incorporate a more secure and internet-centric management system for the platform.
    Top Answer:The best thing about Snowflake is its flexibility in changing warehouse sizes or computational power.
    Top Answer:The real-time streaming feature is limited with Snowflake and could be improved. Currently, Snowflake doesn't support unstructured data. With Snowflake, you need to be very particular about the type… more »
    Ranking
    6th
    out of 34 in Data Warehouse
    Views
    3,045
    Comparisons
    2,195
    Reviews
    13
    Average Words per Review
    354
    Rating
    7.8
    1st
    out of 34 in Data Warehouse
    Views
    12,290
    Comparisons
    6,971
    Reviews
    36
    Average Words per Review
    464
    Rating
    8.3
    Comparisons
    Also Known As
    X5-2
    Snowflake Computing
    Learn More
    Overview

    Oracle Database Appliance is the easiest and most affordable way for small or medium-size organizations to run Oracle databases and applications and is an ideal platform for remote and edge computing environments. Customers reduce Oracle Database deployment times and management workloads using a prebuilt integrated system with management automation. As demonstrated in IDC’s business value study (PDF), Oracle Database Appliance lets customers grow revenue and control costs, delivering up to a 498% return on investment (ROI) over five years.

    Snowflake is a cloud-based data warehousing solution for storing and processing data, generating reports and dashboards, and as a BI reporting source. It is used for optimizing costs and using financial data, as well as for migrating data from on-premises to the cloud. The solution is often used as a centralized data warehouse, combining data from multiple sources.

    Snowflake has helped organizations improve query performance, store and process JSON and XML, consolidate multiple databases into one unified table, power company-wide dashboards, increase productivity, reduce processing time, and have easy maintenance with good technical support.

    Its platform is made up of three components:

    1. Cloud services - Snowflake uses ANSI SQL to empower users to optimize their data and manage their infrastructure, while Snowflake handles the security and encryption of stored data.
    2. Query processing - Snowflake's compute layer is made up of virtual cloud data warehouses that let you analyze data through requests. Each of the warehouses does not compete for computing resources, nor do they affect the performance of each other.
    3. Database storage - Snowflake automatically manages all parts of the data storage process, including file size, compression, organization, structure, metadata, and statistics.

    Snowflake has many valuable vital features. Some of the most useful ones include:

    • Snowflake architecture provides nearly unlimited scalability and high speed because it uses a single elastic performance engine. The solution also supports unlimited concurrent users and workloads, from interactive to batch.
    • Snowflake makes automation easy and enables enterprises to automate data management, security, governance, availability, and data resiliency.
    • With seamless cross-cloud and cross-region connections, Snowflake eliminates ETL and data silos. Anyone who needs access to shared secure data can get a single copy via the data cloud. In addition, Snowflake makes remote collaboration and decision-making fast and easy via a single shared data source.
    • Snowflake’s Data Marketplace offers third-party data, which allows you to connect with Snowflake customers to extend workflows with data services and third-party applications.

    There are many benefits to implementing Snowflake. It helps optimize costs, reduce downtime, improve operational efficiency, and automate data replication for fast recovery, and it is built for high reliability and availability.

      Below are quotes from interviews we conducted with users currently using the Snowflake solution:

      Sreenivasan R., Director of Data Architecture and Engineering at Decision Minds, says, "Data sharing is a good feature. It is a majorly used feature. The elastic computing is another big feature. Separating computing and storage gives you flexibility. It doesn't require much DBA involvement because it doesn't need any performance tuning. We are not doing any performance tuning, and the entire burden of performance and SQL tuning is on Snowflake. Its usability is very good. I don't need to ramp up any user, and its onboarding is easier. You just onboard the user, and you are done with it. There are simple SQL and UI, and people are able to use this solution easily. Ease of use is a big thing in Snowflake."

      A director of business operations at a logistics company mentions, "It requires no maintenance on our part. They handle all that. The speed is phenomenal. The pricing isn't really anything more than what you would be paying for a SQL server license or another tool to execute the same thing. We have zero maintenance on our side to do anything and the speed at which it performs queries and loads the data is amazing. It handles unstructured data extremely well, too. So, if the data is in a JSON array or an XML, it handles that super well."

      A Solution Architect at a wholesaler/distributor comments, "The ability to share the data and the ability to scale up and down easily are the most valuable features. The concept of data sharing and data plumbing made it very easy to provide and share data. The ability to refresh your Dev or QA just by doing a clone is also valuable. It has the dynamic scale up and scale down feature. Development and deployment are much easier as compared to other platforms where you have to go through a lot of stuff. With a tool like DBT, you can do modeling and transformation within a single tool and deploy to Snowflake. It provides continuous deployment and continuous integration abilities. There is a separation of storage and compute, so you only get charged for your usage. You only pay for what you use. When we share the data downstream with business partners, we can specifically create compute for them, and we can charge back the business."

      Sample Customers
      LifeLock, Incarlopsa, Al Yusur Industrial Contracting
      Accordant Media, Adobe, Kixeye Inc., Revana, SOASTA, White Ops
      Top Industries
      REVIEWERS
      Financial Services Firm32%
      Comms Service Provider21%
      Retailer11%
      Transportation Company5%
      VISITORS READING REVIEWS
      Financial Services Firm29%
      Computer Software Company11%
      Government8%
      Manufacturing Company6%
      REVIEWERS
      Computer Software Company29%
      Financial Services Firm20%
      Healthcare Company6%
      Manufacturing Company6%
      VISITORS READING REVIEWS
      Educational Organization26%
      Financial Services Firm13%
      Computer Software Company10%
      Manufacturing Company6%
      Company Size
      REVIEWERS
      Small Business42%
      Midsize Enterprise21%
      Large Enterprise37%
      VISITORS READING REVIEWS
      Small Business15%
      Midsize Enterprise11%
      Large Enterprise75%
      REVIEWERS
      Small Business24%
      Midsize Enterprise20%
      Large Enterprise55%
      VISITORS READING REVIEWS
      Small Business15%
      Midsize Enterprise34%
      Large Enterprise51%
      Buyer's Guide
      Oracle Database Appliance vs. Snowflake
      March 2024
      Find out what your peers are saying about Oracle Database Appliance vs. Snowflake and other solutions. Updated: March 2024.
      768,415 professionals have used our research since 2012.

      Oracle Database Appliance is ranked 6th in Data Warehouse with 39 reviews while Snowflake is ranked 1st in Data Warehouse with 92 reviews. Oracle Database Appliance is rated 8.0, while Snowflake is rated 8.4. The top reviewer of Oracle Database Appliance writes "Simplifies database management tasks and provides high availability and disaster recovery". On the other hand, the top reviewer of Snowflake writes "Good usability, good data sharing and elastic compute features, and requires less DBA involvement". Oracle Database Appliance is most compared with Oracle Exadata, VMware Tanzu Greenplum, Dremio, Actian Ingres and Vertica, whereas Snowflake is most compared with BigQuery, Azure Data Factory, Teradata, Vertica and AWS Lake Formation. See our Oracle Database Appliance vs. Snowflake report.

      See our list of best Data Warehouse vendors and best Cloud Data Warehouse vendors.

      We monitor all 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.