2022-05-09T17:53:28Z

What advice do you have for others considering BigQuery?

Julia Miller - PeerSpot reviewer
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17 Answers

Arpan Kushwaha - PeerSpot reviewer
Real User
Top 5
2023-12-19T09:27:00Z
Dec 19, 2023

Potential users can trust BigQuery without any second thoughts. The solution's pricing is great compared to other solutions. The solution provides more flexibility and supports standard SQL, and anyone coming out from a different platform would not face any challenges adopting BigQuery. Overall, I rate BigQuery a nine out of ten.

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SR
Real User
Top 20
2023-12-06T04:05:00Z
Dec 6, 2023

Whether for small, medium, or large enterprises, it is a recommendable choice. Its pricing model makes it accessible and manageable based on your usage. Given that many individuals and businesses already have Gmail accounts and utilize Google Cloud workspaces, incorporating BigQuery into operations is seamless. Moreover, a complimentary reporting tool, Looker Studio, is available for free, enhancing the reporting capabilities on BigQuery or via Google Sheets. Overall, I would rate it eight out of ten.

Saurav Krishna - PeerSpot reviewer
Real User
Top 5Leaderboard
2023-12-05T14:17:33Z
Dec 5, 2023

If you have a big database and lots of analytics, BigQuery is a really good tool. It helps save and manage your queries and gives you results you can show clients and others. I rate it a nine out of ten.

SM
Consultant
Top 20
2023-11-07T09:53:29Z
Nov 7, 2023

Overall, I would rate it eight out of ten.

NT
Real User
Top 5
2023-11-02T07:54:57Z
Nov 2, 2023

In terms of the data warehousing, and data analytical platform, BigQuery is one of the products in the Google Cloud platform. So, I would rate it a nine out of ten in terms of data warehousing.

Syed WaqasKazi - PeerSpot reviewer
Real User
Top 10
2023-09-26T12:06:51Z
Sep 26, 2023

My advice would be to first understand your client's weak points, the challenges they face, their ambitions, vision, and data-related dreams. It's crucial to identify their desired analytical capabilities for informed decision-making within their organization. Once these critical aspects are on the table, the choice between BigQuery or any other data warehouse and analytical platform can be made. Through this approach, clients will gradually build their understanding of how BigQuery can serve as a database house and analytical platform within their architecture. It empowers them to efficiently store, analyze, and query large datasets, making it an ideal choice for organizations dealing with substantial data volumes and the need for rapid, data-driven decision-making. I would rate it nine out of ten.

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AM
Real User
Top 20
2023-08-16T04:14:09Z
Aug 16, 2023

BigQuery is suitable for all sorts of business types. Medium and small businesses will find the solution's out-of-the-box use cases more useful. Overall, I rate BigQuery an eight out of ten.

Matt Costa - PeerSpot reviewer
Real User
Top 20
2023-06-16T15:10:20Z
Jun 16, 2023

I would tell those planning to use the solution to just go out and utilize as much information as possible. There's a ton of great information on the platform and how it can be best utilized. The solution doesn't necessarily require maintenance. It's a great platform. It's pretty easy to use. You do have to have some skill and uptake when it comes to actually writing SQL and writing queries. But then it does need better support capabilities. But aside from that, it's a pretty good platform. I rate the solution a seven out of ten.

ZG
Real User
Top 5
2023-05-31T16:08:09Z
May 31, 2023

I rate BigQuery seven out of 10.

Shiva Prasad ELLUR - PeerSpot reviewer
Real User
Top 10
2023-02-21T13:42:00Z
Feb 21, 2023

BigQuery is a tool wherein it can support your structured, unstructured, secured, and unsecured data, and it can support the server if you use any right-level services from BigQuery. However, data encryption and integration could be difficult if you want to transfer data to another cloud. For example, when I have data from the other cloud, it would be difficult to bring that data into the data systems for me. Even if I consider doing it, it will cost me and might be expensive. When you try to import data from one vendor to another, it also results in additional data transfer costs and data integration issues. If you keep the solution in the same platform and the same data fabric level, then the data from that level get joined and maintained locally to that cloud. And if you're sending some data across the cloud, only use the basics to connect the data. That way it'll detect the fabric. So if you go with the native tool, that is the limitation we'll have. Cloud diagnostics does get you out of it. When it comes to BigQuery, it is deployed in one cloud. It is native to Google and can only stay on Google; that is the only drawback. Overall, I would rate it a seven out of ten.

HAGAY REINMAN - PeerSpot reviewer
Real User
Top 10
2023-01-09T12:35:26Z
Jan 9, 2023

My company is using a data warehouse solution called BigQuery. My advice to anyone deciding on using BigQuery is to be aware of the pricing mechanism and have a better understanding of it to avoid surprises. You pay for what you use, so it could be very easy to lose control, which means the BigQuery costs could go up fast. I'd rate BigQuery as nine out of ten.

JM
Real User
Top 10
2022-11-24T08:13:11Z
Nov 24, 2022

We are an end-user. The product is a software as a service, and therefore, we are always on the latest version. They do everything for us. I'd rate the product eight out of ten as it's a very good data warehouse, and it's very easy to learn how to use it. It's very user-friendly. I can have my team handle it, even if they are non-technical and they can be doing a lot of coding there without problems.

JK
Real User
Top 5
2022-11-01T20:15:16Z
Nov 1, 2022

If you are interested in a NoSQL option, definitely try the solution. I rate the solution a ten out of ten.

ANANDA KANCHARLA - PeerSpot reviewer
MSP
Top 5
2022-11-01T13:04:01Z
Nov 1, 2022

On a scale from one to ten, I would give BigQuery a nine.

DW
Real User
Top 20
2022-08-22T20:41:36Z
Aug 22, 2022

I'd rate the solution seven out of ten. It's a pretty good product overall.

MandarGarge - PeerSpot reviewer
Real User
Top 5Leaderboard
2022-06-02T11:54:00Z
Jun 2, 2022

BigQuery takes a different approach to design and this is important to consider. BigQuery on its own is not enough and you need other tools also offered by Google to transform data. The BigQuery ecosystem is a little more complex than the Snowflake ecosystem. Those who have traditionally worked on on-premise data warehouses, find Snowflake much easier to set up. Those who are trying to establish warehouses for the first time, find Google easier. I would rate this solution a seven out of ten.

Anonymous  - PeerSpot reviewer
Real User
Top 20
2022-05-09T17:53:28Z
May 9, 2022

On a scale from one to ten, I would give BigQuery an eight.

BigQuery is an enterprise data warehouse that solves this problem by enabling super-fast SQL queries using the processing power of Google's infrastructure. ... You can control access to both the project and your data based on your business needs, such as giving others the ability to view or query your data.
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