IT Central Station is now PeerSpot: Here's why

Oracle Autonomous Data Warehouse vs Snowflake comparison

Cancel
You must select at least 2 products to compare!
Featured Review
Buyer's Guide
Oracle Autonomous Data Warehouse vs. Snowflake
July 2022
Find out what your peers are saying about Oracle Autonomous Data Warehouse vs. Snowflake and other solutions. Updated: July 2022.
610,812 professionals have used our research since 2012.
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"Self-patching and runs machine-learning across its logs all the time""The solution is self-securing. All data is encrypted and security updates and patches are applied automatically both periodically and off-cycle.""The performance and scalability are awesome.""The solution integrates well with Power BI."

More Oracle Autonomous Data Warehouse Pros →

"The speed of data loading and being able to quickly create the environment are most valuable.""Snowflake is a database, and it is very good and useful. The most interesting part is that memory management is very good in Snowflake. For a business intelligence project, SQL Server is taking a lot of time for reporting services. There are a lot of calculations, and the reporting time is shown as two minutes, whereas Snowflake is taking just two seconds for the same reporting services.""Once you have finished your designs they can be easily imported to Snowflake and the information can be readily accessed without an IT expert.""The way it is built and designed is valuable. The way the shared model is built and the way it exploits the power of the cloud is very good. Certain features related to administration and management, akin to Oracle Flashback and all that, are very important for modern-day administration and management. It is also good in terms of managing and improving performance, indexing, and partitioning. It is sort of completely automated. Everything is essentially under the hood, and the engine takes care of it all. As a data warehouse on the cloud, Snowflake stands strong on its ground even though each of the cloud providers has its own data warehouse, such as Redshift for AWS or Synapse for Azure.""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.""The syntax is advanced which reduces the time to write code.""The solution is very easy to use.""Data sharing is a good feature. It is a majorly used feature. The elastic compute is another big feature. Separating compute and storage gives you flexibility. It doesn't require much DBA involvement because it doesn't need any performance tuning. We are not really doing any performance tuning, and the entire burden of performance tuning 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."

More Snowflake Pros →

Cons
"Ease of connectivity could be improved.""The solution could be improved by allowing for migration tools from other cloud services, including migration from Amazon Redshift, RDS, and Aurora.""It is very important the integration with other platforms be made to be as easy as it is with an on-premises deployment.""The initial setup was pretty complex. It was not easy."

More Oracle Autonomous Data Warehouse Cons →

"They should improve the reporting tools.""There is a scope for improvement. They don't currently support integration with some of the Azure and AWS native services. It would be good if they can enhance their product to integrate with these services.""For the Snowflake database, there should be some third-party features for the ETL. It would also be good to be able to use some kind of controls to get the data either from another database or a flat file. Its price should be improved. It should be cheaper than Microsoft.""It would be better if they had a data profile tool that tells me where the gaps are in my time series data.""In future releases, it can also support full unstructured data.""Pricing is an issue for many customers.""There is a need for improvements in the documentation, this would allow more people to switch over to this solution.""If they could bring in some tools for data integration, it would be really great."

More Snowflake Cons →

Pricing and Cost Advice
  • "You pay as you go, and you don't pay for services that you don't use."
  • More Oracle Autonomous Data Warehouse Pricing and Cost Advice →

  • "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."
  • "The price of Snowflake is quite reasonable."
  • "Its price should be improved. It should be cheaper than Microsoft."
  • "It is per credit. It has a use-it-as-you-go model. We bought a chunk of 20,000 credits, and they were lasting us for at least a year. We didn't have the scale of data like a much larger company to consume more credits. For us, it was very inexpensive. Their strategy is just to leverage what you've got and put Snowflake in the middle. It doesn't make it expensive because most of the organizations already have reporting tools. Now, if you were starting from scratch, it might be cheaper to go a different way."
  • "We used Snowflake to see if it is cheaper than using BigQuery. It was just to maintain the cost or the KPI regarding the cost of connectivity by users. Snowflake wasn't cheaper than BigQuery, and its affordability was the main issue."
  • More Snowflake Pricing and Cost Advice →

    report
    Use our free recommendation engine to learn which Cloud Data Warehouse solutions are best for your needs.
    610,812 professionals have used our research since 2012.
    Questions from the Community
    Top Answer:You pay as you go, and you don't pay for services that you don't use. If you feel that you need additional resources then you can increase them and pay only for them. There is no need to worry about… more »
    Top Answer:It is very important the integration with other platforms be made to be as easy as it is with an on-premises deployment. On-premises, you can integrate with different vendors such as Microsoft. There… more »
    Top Answer:This is the advanced version of the cloud version, so it's really a flexible tool. If you have it implemented at home, you can access it from anywhere.
    Top Answer:They have different pricing structures based on data usage. I think they have three or four tiers you can scale through. Most of the clients see an advantage from this type of licensing. That's the… more »
    Top Answer:Sometimes when I'm trying to refresh the data, my different application or tool has to connect to its backend database through the connection I create. Sometimes, I face some issues like not having… more »
    Ranking
    9th
    Views
    5,342
    Comparisons
    4,053
    Reviews
    4
    Average Words per Review
    666
    Rating
    9.0
    1st
    Views
    39,020
    Comparisons
    29,308
    Reviews
    49
    Average Words per Review
    558
    Rating
    8.4
    Comparisons
    Also Known As
    Snowflake Computing
    Learn More
    Overview

    Autonomous Data Warehouse is market-leading Oracle Database software running on proven Oracle Exadata infrastructure that is optimized to deliver unbeatable performance for data warehouse workloads. Built-in adaptive machine learning eliminates manual labor for administrative management. With Oracle, business and enterprise users can now build their own data warehouse, data mart, or sandbox in a few minutes.

    Snowflake is a fully managed SaaS (software as a service) that provides a single platform for data warehousing, data lakes, data engineering, data science, data application development, and secure sharing and consumption of real-time / shared data.

    Its platform is made up of three components:

    1. Cloud services: As part of its cloud services, Snowflake uses ANSI SQL, which empowers users to optimize their data and manage their infrastructure, while Snowflake handles the security and encryption of stored data.
    1. Query processing: With Snowflake, workload concurrency is never a problem because its compute layer is made up of virtual cloud data warehouses that let you analyze data through requests. Each of the warehouses do not compete for computing resources nor do they affect the performance of each other.
    1. Database storage: Snowflake manages all parts of the data storage process automatically, including file size, compression, organization, structure, and metadata, as well as statistics.

    Snowflake Features

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

    • Scalability: Snowflake architecture provides nearly unlimited scalability and high speed because it uses a single elastic performance engine. The solution also supports an unlimited amount of concurrent users and workloads, from interactive to batch.
    • Automation: Snowflake makes automation easy and enables enterprises to automate data management, security, governance, availability, and data resiliency.
    • Seamless cross-cloud and cross-region connections: 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.
    • Third-party data integrations: 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.

    Snowflake Benefits

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

    • Helps optimize costs
    • Reduces downtime
    • Improves operational efficiency
    • Built for high reliability and availability
    • Automates data replication for fast recovery

    Reviews from Real Users

    Below are some reviews and helpful feedback written by PeerSpot 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 compute is another big feature. Separating compute and storage gives you flexibility. It doesn't require much DBA involvement because it doesn't need any performance tuning. We are not really doing any performance tuning, and the entire burden of performance tuning 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."

    Offer
    Learn more about Oracle Autonomous Data Warehouse
    Learn more about Snowflake
    Sample Customers
    Hertz, TaylorMade Golf, Outront Media, Kingold, FSmart, Drop-Tank
    Accordant Media, Adobe, Kixeye Inc., Revana, SOASTA, White Ops
    Top Industries
    VISITORS READING REVIEWS
    Computer Software Company43%
    Comms Service Provider11%
    Government9%
    Financial Services Firm5%
    REVIEWERS
    Computer Software Company39%
    Financial Services Firm12%
    Manufacturing Company9%
    Comms Service Provider6%
    VISITORS READING REVIEWS
    Computer Software Company25%
    Comms Service Provider13%
    Financial Services Firm10%
    Insurance Company6%
    Company Size
    REVIEWERS
    Small Business44%
    Large Enterprise56%
    VISITORS READING REVIEWS
    Small Business13%
    Midsize Enterprise11%
    Large Enterprise76%
    REVIEWERS
    Small Business24%
    Midsize Enterprise23%
    Large Enterprise53%
    VISITORS READING REVIEWS
    Small Business17%
    Midsize Enterprise14%
    Large Enterprise70%
    Buyer's Guide
    Oracle Autonomous Data Warehouse vs. Snowflake
    July 2022
    Find out what your peers are saying about Oracle Autonomous Data Warehouse vs. Snowflake and other solutions. Updated: July 2022.
    610,812 professionals have used our research since 2012.

    Oracle Autonomous Data Warehouse is ranked 9th in Cloud Data Warehouse with 4 reviews while Snowflake is ranked 1st in Cloud Data Warehouse with 49 reviews. Oracle Autonomous Data Warehouse is rated 9.0, while Snowflake is rated 8.4. The top reviewer of Oracle Autonomous Data Warehouse writes "Self-patching means I generally don't need a DBA; detailed analytics make it very capable". 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 Autonomous Data Warehouse is most compared with Microsoft Azure Synapse Analytics, Oracle Exadata, Amazon Redshift, BigQuery and Azure Data Factory, whereas Snowflake is most compared with Microsoft Azure Synapse Analytics, Amazon Redshift, Vertica, AWS Lake Formation and SAP BW4HANA. See our Oracle Autonomous Data Warehouse vs. Snowflake 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.