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BigQuery vs Oracle Big Data Appliance comparison

 

Comparison Buyer's Guide

Executive Summary

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Categories and Ranking

BigQuery
Average Rating
8.2
Reviews Sentiment
6.9
Number of Reviews
43
Ranking in other categories
Cloud Data Warehouse (3rd)
Oracle Big Data Appliance
Average Rating
8.0
Reviews Sentiment
6.8
Number of Reviews
6
Ranking in other categories
Data Warehouse (15th)
 

Featured Reviews

Mikah Sellers - PeerSpot reviewer
Principal at Sgt Suds
Has supported detailed policy and education analysis with low-code data exploration
I do not use AWS as my main cloud provider within the company and am not currently using it with AWS. My company did not buy it through the AWS Marketplace as I'm the founder of the company. I do not use BigQuery's integration with Google Analytics for custom behavior analysis. I have not utilized the geospatial analysis capabilities with BigQuery as I'm doing mostly human capital work, so geospatial wouldn't make sense. I would rate their service on a scale of one to 10 for Google as ten. I would rate BigQuery as nine out of 10. My experience with the pricing for BigQuery was through a grant from Google. Their pricing is fairly priced and pretty comparable to Microsoft's offering. I haven't had direct experience, but I did look at the pricing of the Microsoft offering and it's pretty similar. I do not deal with Google AI tools such as Vertex.
reviewer1031826 - PeerSpot reviewer
Analytics Lead at a tech vendor with 10,001+ employees
Platinum partnership leverages advanced storage and fosters seamless data integration
Areas of Oracle Big Data Appliance that can be improved include the pricing perspective because nowadays they have competition. We have so many technologies that have come to the market for less than even one-fourth or one-fifth of the Oracle price. For my side, the last time I worked with Oracle was in '21, '22. The price is a challenge that they have to look after. From the storage and data management perspective, I cannot recall anything that they have to improve, but they have to improve the visualization part significantly because they offer Oracle BI, which is an extremely not-matured application.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"The features I have found most valuable in BigQuery include the query cache, which is good and scales well; it handles huge amounts of data quite well, and the multi-regions feature works well."
"One of the most significant advantages lies in the decoupling of storage and compute which allows to independently scale storage and compute resources, with the added benefit of extremely cost-effective storage akin to object storage solutions."
"The product is serverless. We only need to write SQL queries to analyze the data. We need to pay based on the number of queries. The retrieval time is very less. Even if you write large queries, the tool is able to bring back data in a few seconds."
"To be frank, the performance, reliability, and everything else have improved, even the downtime."
"The product’s most valuable feature is its ability to manage the database on the cloud."
"We like the machine learning features and the high-performance database engine."
"BigQuery's querying capabilities are very optimized for large datasets."
"The setup is simple."
"The best feature of Oracle Big Data Appliance, from a price perspective for the storage, is because they have technology called the ZFS technology; it offers huge storage with a decent price."
"The best thing about the product is that the end-user can build the reports by themselves without really knowing anything about databases."
"Big Data responds to my needs."
"We could work on large unstructured datasets from different parts of the world on Facebook and Twitter to get better insights."
"Because Big Data Appliance allows me to have a single source of truth, it means I have clean data that can be monetized and leveraged to gain more insights with real-time reports from the dashboard."
"The most valuable feature is that it can be used in conjunction with Spark memory processing, and our processing time has gone to 20 minutes from what used to be two or three hours on the mainframe."
"This is a comprehensive solution that is easy to deploy."
 

Cons

"We'd like to see more local data residency."
"The product could benefit from improvements in user-friendliness, particularly in terms of the user interface."
"With other columnar databases like Snowflake, you can actually increase your VM size or increase your machine size, and you can buy more memory and it will start working faster, but that's not available in BigQuery. You have to actually open a ticket and then follow it up with Google support."
"The product’s performance could be much faster."
"They could enhance the platform's user accessibility."
"The price is a bit high but the technology is worth it."
"I noticed recently it's more expensive now."
"There is a good amount of documentation out there, but they're consistently making changes to the platform, and, like, their literature hasn't been updated on some plans."
"From a technical perspective, Big Data Appliance could be improved with more innovation in the AI and machine-learning parts instead of relying on Cloudera."
"We had to pursue several performance tuning measures to bring up the system to scale."
"The product should be simplified for the average user."
"It seems like the deployment of repositories has become more difficult in later versions of the product rather than easier."
"We need to display the results on our website. I think there is another product that joins with it to give you the possibility."
 

Pricing and Cost Advice

"One terabyte of data costs $20 to $22 per month for storage on BigQuery and $25 on Snowflake. Snowflake is costlier for one terabyte, but BigQuery charges based on how much data is inserted into the tables. BigQuery charges you based on the amount of data that you handle and not the time in which you handle it. This is why the pricing models are different and it becomes a key consideration in the decision of which platform to use."
"Price-wise, I think that is very reasonable."
"The product’s pricing could be more flexible for end users."
"The pricing is good and there are no additional costs involved."
"The pricing is adaptable, ensuring that organizations can tailor their usage and costs based on their specific requirements and configurations within the Google Cloud Platform."
"The product operates on a pay-for-use model. Costs include storage and query execution, which can accumulate based on data volume and complexity."
"The pricing appears to be competitive for the intended usage scenarios we have in mind."
"The price could be better. Usually, you need to buy the license for a year. Whenever you want more, you can subscribe to it, and you can use it. Otherwise, you can terminate the license. You can use it daily or monthly, and we use it based on a project's requirements."
"Oracle's prices are too high compared to others in the market."
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Top Industries

By visitors reading reviews
Financial Services Firm
17%
Outsourcing Company
9%
Manufacturing Company
9%
Media Company
7%
Financial Services Firm
23%
Manufacturing Company
13%
Comms Service Provider
10%
Construction Company
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business13
Midsize Enterprise10
Large Enterprise20
By reviewers
Company SizeCount
Small Business1
Midsize Enterprise1
Large Enterprise7
 

Questions from the Community

What is your experience regarding pricing and costs for BigQuery?
I believe the cost of BigQuery is competitive versus the alternatives in the market, but it can become expensive if the tool is not used properly. It is on a per-consumption basis, the billing, so ...
What needs improvement with BigQuery?
With what I have seen in BigQuery, I had some response times problems, but then it is an analytical database and not a transactional database, so it comes with eventual consistency. I cannot have e...
What is your primary use case for BigQuery?
We are mostly dealing with Google solutions such as BigQuery, NoSQL, SQL analytical database, secrets manager, and most of the serverless infrastructure as well, databases. I run SQL queries on Big...
What needs improvement with Oracle Big Data Appliance?
Areas of Oracle Big Data Appliance that can be improved include the pricing perspective because nowadays they have competition. We have so many technologies that have come to the market for less th...
What is your primary use case for Oracle Big Data Appliance?
The typical use case for Oracle Big Data Appliance, which my clients use, is usually that the customer who has an Oracle application uses it because they can leverage the storage part. I don't need...
 

Also Known As

BQ
No data available
 

Overview

 

Sample Customers

Information Not Available
Caixa Bank
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