Amazon Web Services vs. Oracle Autonomous Data Warehouse

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Amazon Web Services
Score 8.5 out of 10
N/A
Amazon Web Services (AWS) is a subsidiary of Amazon that provides on-demand cloud computing services. With over 165 services offered, AWS services can provide users with a comprehensive suite of infrastructure and computing building blocks and tools.
$100
per month
Oracle Autonomous Data Warehouse
Score 8.3 out of 10
N/A
Oracle Autonomous Data Warehouse is optimized for analytic workloads, including data marts, data warehouses, data lakes, and data lakehouses. With Autonomous Data Warehouse, data scientists, business analysts, and nonexperts can discover business insights using data of any size and type. The solution is built for the cloud and optimized using Oracle Exadata.N/A
Pricing
Amazon Web ServicesOracle Autonomous Data Warehouse
Editions & Modules
Free Tier
$0
per month
Basic Environment
$100 - $200
per month
Intermediate Environment
$250 - $600
per month
Advanced Environment
$600-$2500
per month
No answers on this topic
Offerings
Pricing Offerings
Amazon Web ServicesOracle Autonomous Data Warehouse
Free Trial
YesNo
Free/Freemium Version
YesNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional DetailsAWS allows a “save when you commit” option that offers lower prices when you sign up for a 1- or 3- year term that includes an AWS service or category of services.
More Pricing Information
Community Pulse
Amazon Web ServicesOracle Autonomous Data Warehouse
Features
Amazon Web ServicesOracle Autonomous Data Warehouse
Infrastructure-as-a-Service (IaaS)
Comparison of Infrastructure-as-a-Service (IaaS) features of Product A and Product B
Amazon Web Services
8.4
78 Ratings
2% above category average
Oracle Autonomous Data Warehouse
-
Ratings
Service-level Agreement (SLA) uptime9.072 Ratings00 Ratings
Dynamic scaling8.873 Ratings00 Ratings
Elastic load balancing9.369 Ratings00 Ratings
Pre-configured templates7.166 Ratings00 Ratings
Monitoring tools8.473 Ratings00 Ratings
Pre-defined machine images8.366 Ratings00 Ratings
Operating system support7.972 Ratings00 Ratings
Security controls8.674 Ratings00 Ratings
Automation8.325 Ratings00 Ratings
Best Alternatives
Amazon Web ServicesOracle Autonomous Data Warehouse
Small Businesses
DigitalOcean Droplets
DigitalOcean Droplets
Score 9.4 out of 10
Google BigQuery
Google BigQuery
Score 8.7 out of 10
Medium-sized Companies
SAP on IBM Cloud
SAP on IBM Cloud
Score 9.0 out of 10
Cloudera Enterprise Data Hub
Cloudera Enterprise Data Hub
Score 9.0 out of 10
Enterprises
SAP on IBM Cloud
SAP on IBM Cloud
Score 9.0 out of 10
Oracle Exadata
Oracle Exadata
Score 9.8 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Amazon Web ServicesOracle Autonomous Data Warehouse
Likelihood to Recommend
8.0
(90 ratings)
8.9
(32 ratings)
Likelihood to Renew
9.4
(10 ratings)
8.0
(1 ratings)
Usability
7.8
(21 ratings)
-
(0 ratings)
Availability
9.0
(1 ratings)
-
(0 ratings)
Support Rating
7.2
(24 ratings)
-
(0 ratings)
Online Training
7.0
(1 ratings)
-
(0 ratings)
Implementation Rating
10.0
(3 ratings)
9.0
(1 ratings)
User Testimonials
Amazon Web ServicesOracle Autonomous Data Warehouse
Likelihood to Recommend
Amazon AWS
This is something that is actually common across most cloud providers. A comprehensive understanding of one's use cases, constraints and future directions is key to determining if you even need a cloud solution. If you are a 2-person startup developing something with a best-scenario audience of 1k DAU in a year, you would very likely best served by a dirt-cheap dedicated Linux server somewhere (and your options to graduate to a cloud solution will still be open). If, however, you are a bigger fish, and/or you are actively considering build-vs-buy decisions for complicated, highly-loaded, six-figure requests per minute systems, global loadbalancing, extreme growth projections - then MAYBE you solve all or part of it with a cloud provider. And depending on your taste for risk, reliability, flexibility, track record - it might be AWS.
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Oracle
II would recommend Oracle Autonomous Data Warehouse to someone looking to fully automate the transferring of data especially in a warehouse scenario though I can see the elasticity of the suite that is offered and can see it is applicable in other scenarios not just warehouses.
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Pros
Amazon AWS
  • During the month-end, we experience high resource utilization; however, with AWS's scalability, we can effectively tackle the peak load.
  • With AWS IAM, we don't need to set up complete infrastructure for identity and access management, as AWS provides end-to-end IAM services.
  • With AWS, development has become very easy as it's very quick to spin up and destroy the environment, which saves costs.
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Oracle
  • Very easy and fast to load data into the Oracle Autonomous Data Warehouse
  • Exceptionally fast retrieval of data joining 100 million row table with a billion row table plus the size of the database was reduced by a factor of 10 due to how Oracle store[s] and organise[s] data and indexes.
  • Flexibility with scaling up and down CPU on the fly when needed, and just stop it when not needed so you don't get charged when it is not running.
  • It is always patched and always available and you can add storage dynamically as you need it.
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Cons
Amazon AWS
  • When there is any misconfiguration of EC2 related to SSM Connect. It doesn't clearly states that what particular configuration is missing.
  • Debugging networking related issues could be improved.
  • From the security group page, it's difficult to determine which resource a security group is associated with.
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Oracle
  • It is very expensive product. But not to mention, there's good reasons why it is expensive.
  • The product should support more cloud based services. When we made the decision to buy the product (which was 20 years ago,) there was no such thing to consider, but moving to a cloud based data warehouse may promise more scalability, agility, and cost reduction. The new version of Data Warehouse came out on the way, but it looks a bit behind compared to other competitors.
  • Our healthcare data consists of 30% coded data (such as ICD 10 / SNOMED C,T) but the rests is narrative (such as clinical notes.). Oracle is the best for warehousing standardized data, but not a good choice when considering unstructured data, or a mix of the two.
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Likelihood to Renew
Amazon AWS
We are almost entirely satisfied with the service. In order to move off it, we'd have to build for ourselves many of the services that AWS provides and the cost would be prohibitive. Although there are cost savings and security benefits to returning to the colo facility, we could never afford to do it, and we'd hate to give up the innovation and constant cycle of new features that AWS gives us.
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Oracle
Because
  • It is really simple to provision and configure.
  • Does not require continous attention from the DBA, autonomous features allows the database to perform most of the regular admin tasks without need for human intervention.
  • Allows to integrate multiple data sources on a central data warehouse, and explode the information stored with different analytic and reporting tools.
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Usability
Amazon AWS
AWS offers a wide range of powerful services that cater to various business needs which is significant strength. The ability to scale resources on-demand is a major advantage making it suitable for businesses of all sizes. The sheer volume of options and configurations can be overwhelming for new users leading to a steep learning curve. While functional the AWS management console can feel cluttered and less intuitive compared to some competitors which can hinder navigation. Although some documentation lacks clarity and practical examples which can frustrate users trying to implement specific solutions.
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Oracle
No answers on this topic
Reliability and Availability
Amazon AWS
Availability is very good, with the exception of occasional spectacular outages.
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Oracle
No answers on this topic
Performance
Amazon AWS
AWS does not provide the raw performance that you can get by building your own custom infrastructure. However, it is often the case that the benefits of specialized, high-performance hardware do not necessarily outweigh the significant extra cost and risk. Performance as perceived by the user is very different from raw throughput.
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Oracle
No answers on this topic
Support Rating
Amazon AWS
The customer support of Amazon Web Services are quick in their responses. I appreciate its entire team, which works amazingly, and provides professional support. AWS is a great tool, indeed, to provide customers a suitable way to
immediately search for their compatible software's and also to guide them in a
good direction. Moreover, this product is a good suggestion for every type of
company because of its affordability and ease of use.
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Oracle
No answers on this topic
Implementation Rating
Amazon AWS
The API's were very well documented and was Janova's main point of entry into the services.
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Oracle
Understanding Oracle Cloud Infrastructure is really simple, and Autonomous databases are even more. Using shared or dedicated infrastructure is one of the few things you need to consider at the moment of starting provisioning your Oracle Autonomous Data Warehouse.
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Alternatives Considered
Amazon AWS
Amazon Web Services fits best for all levels of organisations like startup, mid level or enterprise. The services are easy to use and doesn't require a high level of understanding as you can learn via blogs or youtube videos. AWS is Reasonable in cost as the plan is pay as you use.
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Oracle
As I mentioned, I have also worked with Amazon Redshift, but it is not as versatile as Oracle Autonomous Data Warehouse and does not provide a large variety of products. Oracle Autonomous Data Warehouse is also more reliable than Amazon Redshift, hence why I have chosen it
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Return on Investment
Amazon AWS
  • Using Amazon Web Services has allowed us to develop and deploy new SAAS solutions quicker than we did when we used traditional web hosting. This has allowed us to grow our service offerings to clients and also add more value to our existing services.
  • Having AWS deployed has also allowed our development team to focus on delivering high-quality software without worrying about whether our servers will be able to handle the demand. Since AWS allows you to adjust your server needs based on demand, we can easily assign a faster server instance to ease and improve service without the client even knowing what we did.
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Oracle
  • Overall the business objective of all of our clients have been met positively with Oracle Data Warehouse. All of the required analysis the users were able to successfully carry out using the warehouse data.
  • Using a 3-tier architecture with the Oracle Data Warehouse at the back end the mid-tier has been integrated well. This is big plus in providing the necessary tools for end users of the data warehouse to carry out their analysis.
  • All of the various BI products (OBIEE, Cognos, etc.) are able to use and exploit the various analytic built-in functionalities of the Oracle Data Warehouse.
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ScreenShots