Google Cloud AI vs. Oracle Database

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Google Cloud AI
Score 8.2 out of 10
N/A
Google Cloud AI provides modern machine learning services, with pre-trained models and a service to generate tailored models.N/A
Oracle Database
Score 8.3 out of 10
N/A
Oracle Database, currently in edition 23ai, is a converged, multimodel database management system. It is designed to simplify development for AI, microservices, graph, document, spatial, and relational applications.
$0.05
per hour
Pricing
Google Cloud AIOracle Database
Editions & Modules
No answers on this topic
Oracle Base Database Service - Standard
$0.0538
per hour
Oracle Base Database Service - Enterprise
$0.1075
per hour
Oracle Base Database Service - High Performance
$0.2218
per hour
Standard Edition
Contact Sales
Enterprise Edition
Contact Sales
Personal Edition
Contact Sales
Offerings
Pricing Offerings
Google Cloud AIOracle Database
Free Trial
NoYes
Free/Freemium Version
NoYes
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
Google Cloud AIOracle Database
Features
Google Cloud AIOracle Database
Relational Databases
Comparison of Relational Databases features of Product A and Product B
Google Cloud AI
-
Ratings
Oracle Database
8.4
4 Ratings
4% above category average
ACID compliance00 Ratings8.54 Ratings
Database monitoring00 Ratings8.54 Ratings
Database locking00 Ratings8.54 Ratings
Encryption00 Ratings9.73 Ratings
Disaster recovery00 Ratings9.03 Ratings
Flexible deployment00 Ratings6.54 Ratings
Multiple datatypes00 Ratings8.04 Ratings
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Google Cloud AIOracle Database
Small Businesses
InterSystems IRIS
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Score 7.7 out of 10
InterSystems IRIS
InterSystems IRIS
Score 7.7 out of 10
Medium-sized Companies
Posit
Posit
Score 10.0 out of 10
InterSystems IRIS
InterSystems IRIS
Score 7.7 out of 10
Enterprises
Posit
Posit
Score 10.0 out of 10
SAP IQ
SAP IQ
Score 10.0 out of 10
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User Ratings
Google Cloud AIOracle Database
Likelihood to Recommend
8.0
(7 ratings)
9.0
(191 ratings)
Likelihood to Renew
10.0
(1 ratings)
9.0
(6 ratings)
Usability
8.0
(2 ratings)
7.4
(5 ratings)
Support Rating
7.3
(3 ratings)
7.0
(5 ratings)
Implementation Rating
10.0
(1 ratings)
9.6
(3 ratings)
User Testimonials
Google Cloud AIOracle Database
Likelihood to Recommend
Google
Google Cloud AI is a wonderful product for companies that are looking to offset AI and ML processing power to cloud APIs, and specific Machine Learning use cases to APIs as well. For companies that are looking for very specific, customized ML capabilities that require lots of fine-tuning, it may be better to do this sort of processing through open-source libraries locally, to offset the costs that your company might incur through this API usage.
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Oracle
We migrated from NoSQL to an Oracle database. One of the reasons was robust backup and recovery options available in the Oracle database, which provide zero data loss. A transactional database like Oracle is a better fit for our use case than NoSQL. On a large scale, deployment was evaluated as a cheaper option than the NoSQL engine. This conclusion came even after considering Oracle license is expensive.
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Pros
Google
  • good conversion from the voice to the text
  • speed in the conversion from voice to text
  • time-saving in the conversion activity
  • analysis of the results of the conversion in real time
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Oracle
  • Supports most of the Operating Systems like Unix, Linux and Windows Server.
  • It works well in high load environment under intense parallel transactions setup.
  • Highly reliable DBMS, especially RAC is very much reliable.
  • Well managed and predictable release of security patches.
  • We have highly scaled it from on-prem to a cloud cluster environment for our product.
  • One of the best-performing DBMSs on Linux machines under test delivers high throughput (QPS).
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Cons
Google
  • Some of the build in/supported AI modules that can be deployed, for example Tensorflow, do not have up-to-date documentation so what is actually implemented in the latest rev is not what is mentioned in the documentation, resulting in a lot of debugging time.
  • Customization of existing modules and libraries is harder and it does need time and experience to learn.
  • Google Cloud AI can do a better job in providing better support for Python and other coding languages.
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Oracle
  • The memory demand and management makes it impossible to run it in a container.
  • It is hard to perform local unit testing with Oracle even using the personal edition (aggressive all the available memory grab for itself).
  • Lack of built in database migrations (e.g. as Flyway).
  • The need to install the Oracle client in addition to its drivers.
  • The cost of running it, especially in the Cloud.
  • Comes with very spartan community grade client/management tools whereas the commercial offerings tend to demand a premium price.
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Likelihood to Renew
Google
We are extremely satisfied with the impact that this tool has made on our organization since we have practically moved from crawling to walking in the process of generating information for our main task to investigate in the field through interviews. With the audio to text translation tool there is a difference from heaven to earth in the time of feeding our internal data.
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Oracle
There is a lot of sunk cost in a product like Oracle 12c. It is doing a great job, it would not provide us much benefit to switch to another product even if it did the same thing due to the work involved in making such a switch. It would not be cost effective.
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Usability
Google
I give 8 because although it´s a tool I really enjoy working with, I think Google Cloud AI's impact is just starting, therefore I can visualize a lot/space of improvements in this tool. As an example the application of AI in international environments with different languages is a good example of that space/room to improve.
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Oracle
Many of the powerful options can be auto-configured but there are still many things to take into account at the moment of installing and configuring an Oracle Database, compared with SQL Server or other databases. At the same time, that extra complexity allows for detailed configuration and guarantees performance, scalability, availability and security.
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Support Rating
Google
Every rep has been nice and helpful whenever I call for help. One of the systems froze and wouldn't start back up and with the help of our assigned rep we got everything back up in a timely manner. This helped us not lose customers and money.
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Oracle
1. I have very good experience with Oracle Database support team. Oracle support team has pool of talented Oracle Analyst resources in different regions. To name a few regions - EMEA, Asia, USA(EST, MST, PST), Australia. Their support staffs are very supportive, well trained, and customer focused. Whenever I open Oracle Sev1 SR(service request), I always get prompt update on my case timely. 2. Oracle has zoom call and chat session option linked to Oracle SR. Whenever you are in Oracle portal - you can chat with the Oracle Analyst who is working on your case. You can request for Oracle zoom call thru which you can share the your problem server screen in no time. This is very nice as it saves lot of time and energy in case you have to follow up with oracle support for your case. 3.Oracle has excellent knowledge base in which all the customer databases critical problems and their solutions are well documented. It is very easy to follow without consulting to support team at first.
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Implementation Rating
Google
In fact, you only need the basic tech knowledge to do a Google search. You need to know if your organization requires it or not,. our organization required it. And that is why we acquired it and solved a need that we had been suffering from. This is part of the modernization of an organization and part of its growth as a company.
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Oracle
Overall the implementation went very well and after that everything came out as expected - in terms of performance and scalability. People should always install and upgrade a stable version for production with the latest patch set updates, test properly as much as possible, and should have a backup plan if anything unexpected happens
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Alternatives Considered
Google
These are basic tools although useful, you can't simply ignore them or say they are not good. These tools also have their own values. But, Yes, Google is an advanced one, A king in the field of offering a wide range of tools, quality, speed, easy to use, automation, prebuild, and cost-effective make them a leader and differentiate them from others.
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Oracle
Because of a rich user base and support for any critical issue, this is one of the best options to choose. In case the project has a TCO issue, it can compromise and choose Postgres as the best alternative. SQL server is also good and easy to code and maintain but performance is not as good as the Oracle
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Return on Investment
Google
  • Artificial intelligence and automation seems 'free' and draws the organization in, without seeming to spend a lot of funds. A positive impact, but who is actually tracking the cost?
  • We want our employees to use it, but many resist technology or are scared of it, so we need a way to make them feel more comfortable with the AI.
  • The ROI seems positive since we are full in with Google, and the tools come along with the functionality.
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Oracle
  • Multiple applications can use the same database and still get high performance
  • Licensing cost is still a concern compared to the other options available in the market that are very very inexpensive
  • Almost a maintenance free database
  • Oracle Grid makes life easy in terms of monitoring and managing the databases
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ScreenShots