Google's BigQuery is part of the Google Cloud Platform, a database-as-a-service (DBaaS) supporting the querying and rapid analysis of enterprise data.
$6.25
per TiB (after the 1st 1 TiB per month, which is free)
Oracle Fusion Cloud ERP
Score 7.4 out of 10
N/A
Oracle Cloud Enterprise Resource Planning (ERP) is a core suite of Oracle Cloud software-as-a-service (SaaS) applications. Oracle Expense Management and Oracle Risk Management are part of this solution. Other apps include Financials, Revenue Management, Accounting Hub, PPM, and Procurement. The single cloud platform offers built-in industry standards and modern best practices. ERP software is the backbone of many organizations and Oracle aims to offer a modern, connected…
N/A
Pricing
Google BigQuery
Oracle Fusion Cloud ERP
Editions & Modules
Standard edition
$0.04 / slot hour
Enterprise edition
$0.06 / slot hour
Enterprise Plus edition
$0.10 / slot hour
No answers on this topic
Offerings
Pricing Offerings
Google BigQuery
Oracle Fusion Cloud ERP
Free Trial
Yes
Yes
Free/Freemium Version
Yes
No
Premium Consulting/Integration Services
No
Yes
Entry-level Setup Fee
No setup fee
Required
Additional Details
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Pricing per user varies by component within the Oracle ERP Cloud solution.
Google BigQuery is simpler and I say it has simpler UI too. If you have a clear long term ask , mainly business intelligence needs then Google BigQuery offers you good. If you need too much of features under a single cloud and you are ok to be lil clumsy then you can check …
Event-based data can be captured seamlessly from our data layers (and exported to Google BigQuery). When events like page-views, clicks, add-to-cart are tracked, Google BigQuery can help efficiently with running queries to observe patterns in user behaviour. That intermediate step of trying to "untangle" event data is resolved by Google BigQuery. A scenario where it could possibly be less appropriate is when analysing "granular" details (like small changes to a database happening very frequently).
Oracle Fusion Cloud is best suited if a customer moves from Oracle eBusiness Suite (on-prem) to a SaaS offering. The transition is comparatively manageable to implement. However, the customer must understand that we cannot have too many customizations in the SaaS model, so many heavily customized on-prem applications would need to be incorporated in the Cloud by using Cloud tools like Oracle Integration Cloud, Oracle Cloud Infrastructure Autonomous Database, Oracle APEX provisioned on OCI, etc.
GSheet data can be linked to a BigQuery table and the data in that sheet is ingested in realtime into BigQuery. It's a live 'sync' which means it supports insertions, deletions, and alterations. The only limitation here is the schema'; this remains static once the table is created.
Seamless integration with other GCP products.
A simple pipeline might look like this:-
GForms -> GSheets -> BigQuery -> Looker
It all links up really well and with ease.
One instance holds many projects.
Separating data into datamarts or datameshes is really easy in BigQuery, since one BigQuery instance can hold multiple projects; which are isolated collections of datasets.
Please expand the availability of documentation, tutorials, and community forums to provide developers with comprehensive support and guidance on using Google BigQuery effectively for their projects.
If possible, simplify the pricing model and provide clearer cost breakdowns to help users understand and plan for expenses when using Google BigQuery. Also, some cost reduction is welcome.
It still misses the process of importing data into Google BigQuery. Probably, by improving compatibility with different data formats and sources and reducing the complexity of data ingestion workflows, it can be made to work.
We have to use this product as its a 3rd party supplier choice to utilise this product for their data side backend so will not be likely we will move away from this product in the future unless the 3rd party supplier decides to change data vendors.
Oracle ERP cloud is a significant investment for our company. It will be an ongoing software cost and there's no looking back on that. Our users have become very accustomed to this tool that it is not practically feasible to rip them off from this system. So yes we will continue to renew the subscription going forward.
I think overall it is easy to use. I haven't done anything from the development side but an more of an end user of reporting tables built in Google BigQuery. I connect data visualization tools like Tableau or Power BI to the BigQuery reporting tables to analyze trends and create complex dashboards.
Depending on the menu, some items are easy to navigate, however other areas seem like have too many menu selections resulting in many clicks to get what needs to get done. The more you use it the easier getting things done becomes; it is not difficult to learn.
I have never had any significant issues with Google Big Query. It always seems to be up and running properly when I need it. I cannot recall any times where I received any kind of application errors or unplanned outages. If there were any they were resolved quickly by my IT team so I didn't notice them.
The application is used by big banks like HSBC is a testament to its reliability. I did not hear or experience any outages.Oracle is in the hosting business since long. In its previous avatar, it used to be called as Oracle on demand. So oracle has enough experience and expertise in hosting and managing customers applications in their datacenters. Oracle is the only major company which has platform as a service, database as a service and software as a service product offerings on the cloud.Hence customers can rely on Oracle as many major fortune 500 companies do.
I think Google Big Query's performance is in the acceptable range. Sometimes larger datasets are somewhat sluggish to load but for most of our applications it performs at a reasonable speed. We do have some reports that include a lot of complex calculations and others that run on granular store level data that so sometimes take a bit longer to load which can be frustrating.
Cloud performance is something that they need to improve. Also it is not consistent. Sometimes for some users it is slow while for others it is fast. This is frustrating for users especially when they are in the middle of what they are doing. We communicated this to Oracle and they suggested to submit request for environment re-sizing. But again this we think should be a proactive effort from Oracle rather than relying on customers to reach out. This is something Oracle definitely needs to work on.
BigQuery can be difficult to support because it is so solid as a product. Many of the issues you will see are related to your own data sets, however you may see issues importing data and managing jobs. If this occurs, it can be a challenge to get to speak to the correct person who can help you.
Support is always providing step by step details to resolve any issue we encounter. If the issue is currently not a functionality or feature of the application they are supportive in offering guidance on submitting an enhancement request. Currently there is an enhancement that will be rolled out by Oracle that was designed for our organization.
The inperson trainings from Oracle University are effective. The trainers have vast experience and teached thousands of students. In person training will make people sit in a class and do the exercises. One can also learn from other students, who come with different background, industry etc. In person training will be an immersive experience and helps learn more in a short period of time.
We bought online training subscription from Oracle University. The subscription allowed our team to learn the nuts and bolts of the application.The subscription model helps access to all the modules as opposed to buying training for one module. We also leveraged guided learning subscription from Oracle. Guided learning is a state of the art learning application from Oracle. It resides within the application and guides the users on each and every step. This is learning by doing and is very effective. Once you buy guided learning, oracle keeps updating it with the release of new functionality in the quarterly upgrades.
Try to use the system as true to generic form as possible and cut over quickly. Parallel implementation is not recommended. If the numbers are accurate and materially similar to prior period - cut over. A small accounting adjustment is much better than millions in project overruns or dual system maintenance.
PowerBI can connect to GA4 for example but the data processing is more complicated and it takes longer to create dashboards. Azure is great once the data import has been configured but it's not an easy task for small businesses as it is with BigQuery.
Oracle Cloud ERP is more flexible, more negotiable and has better breadth and support worldwide. Their reports are better and speed of implementation is faster. It stacks better since the company is larger, more stable, and has more research and development. There are more references to check with peers too.
We have continued to expand out use of Google Big Query over the years. I'd say its flexibility and scalability is actually quite good. It also integrates well with other tools like Tableau and Power BI. It has served the needs of multiple data sources across multiple departments within my company.
Orcle ERP Cloud transformed and stabilized in this past 2 years since it was implemented. We have past the auditor reviews and 24 month end closes and 8 quarter closes and 2 FY closes. Above all we do have SEC reporting with all this data. Having said that our ERP subscription is a worthy investment and highly reliable source of information for our organization's needs
Google Support has kindly provide individual support and consultants to assist with the integration work. In the circumstance where the consultants are not present to support with the work, Google Support Helpline will always be available to answer to the queries without having to wait for more than 3 days.
Previously, running complex queries on our on-premise data warehouse could take hours. Google BigQuery processes the same queries in minutes. We estimate it saves our team at least 25% of their time.
We can target our marketing campaigns very easily and understand our customer behaviour. It lets us personalize marketing campaigns and product recommendations and experience at least a 20% improvement in overall campaign performance.
Now, we only pay for the resources we use. Saved $1 million annually on data infrastructure and data storage costs compared to our previous solution.
