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 it depends on how much data and how you query the data. Being able to optimize the queries to data is critical. Otherwise, you could spend a fortune.
Associate Consultant (Data Engineer) at MediaAgility
Real User
Dec 19, 2023
The solution's pricing is cheaper compared to other solutions. On a scale from one to ten, where one is cheap, and ten is expensive, I rate the solution's pricing a two or three out of ten.
Data Engineer at a recreational facilities/services company with 10,001+ employees
Real User
Nov 2, 2023
There are two types of pricing: the storage price and the processing price. Storage is very, very cheap compared to Teradata. But processing, it depends, like, how much of an amount of data you are processing. They charge the query you run on the big query.
Senior Managing Consultant at Abacus Cambridge Partners
Real User
Sep 26, 2023
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. You don't need multiple licenses; a single GCP BigQuery license suffices. Once you have this license in place, you will be billed according to your chosen pricing model. Google offers flexibility in pricing models to accommodate the unique needs of different customers, making it a versatile and customer-centric solution.
Price-wise, I think that is very reasonable. Like, I don't use a ton of computing when it comes to the platform, so I haven't ever really had to pay when it comes to the product. I really don't have to pay from month to month.
Vice President - Data Engineering and Analytics at a financial services firm with 10,001+ employees
Real User
Feb 21, 2023
The costing model is a bit expensive as compared to its equivalent partners. If they can optimize the cost, it would be much better. Otherwise, people would step back. I would rate it a seven on a scale of one to ten, where ten is for the cheapest, and one is for being high priced.
BigQuery pricing can increase quickly. It's a high-priced solution. It would help if you researched how to reduce the price. It would take some time to find out how to set up BigQuery in a way that reduces its pricing.
Team Lead Data & Analytics at a hospitality company with 501-1,000 employees
Real User
Nov 24, 2022
In my previous company, we were not spending that much. You give more money away to the other tools from GCP. We paid maybe €200 or something like that and no more than that. This year, we pay €170 a month.
Program Manager at a tech services company with 201-500 employees
MSP
Nov 1, 2022
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.
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.
Data Engineer at a financial services firm with 10,001+ employees
Real User
May 9, 2022
I have tried my own setup using my Gmail ID, and I think it had a $300 limit for free for a new user. That's what Google is offering, and we can register and create a project.
BigQuery is a powerful cloud-based data warehouse offering advanced SQL querying, seamless Google integration, and scalable handling of large datasets. Its serverless architecture and built-in AI capabilities facilitate efficient data processing and insights extraction.BigQuery provides an efficient data analysis platform with low-latency performance and cost-effective on-demand pricing. Leveraging Google's cloud infrastructure for data storage, it offers robust security and high...
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 it depends on how much data and how you query the data. Being able to optimize the queries to data is critical. Otherwise, you could spend a fortune.
The price is perceived as expensive, rated at eight out of ten in terms of costliness. Still, it offers significant cost savings.
We are above the free threshold, so we are paying around 40 euros per month for BigQuery. It is generally low cost.
AWS has a large number of users and has built a model with high costs, whereas GCP offers cost-effective solutions.
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 product is free of cost.
The platform is inexpensive.
The solution's pricing is cheaper compared to other solutions. On a scale from one to ten, where one is cheap, and ten is expensive, I rate the solution's pricing a two or three out of ten.
Its cost structure operates on a pay-as-you-go model. I would rate it seven out of ten.
The pricing appears to be competitive for the intended usage scenarios we have in mind.
There are two types of pricing: the storage price and the processing price. Storage is very, very cheap compared to Teradata. But processing, it depends, like, how much of an amount of data you are processing. They charge the query you run on the big query.
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. You don't need multiple licenses; a single GCP BigQuery license suffices. Once you have this license in place, you will be billed according to your chosen pricing model. Google offers flexibility in pricing models to accommodate the unique needs of different customers, making it a versatile and customer-centric solution.
The product’s pricing could be more flexible for end users.
The tool has competitive pricing. I rate the pricing an eight out of ten.
Price-wise, I think that is very reasonable. Like, I don't use a ton of computing when it comes to the platform, so I haven't ever really had to pay when it comes to the product. I really don't have to pay from month to month.
I rate BigQuery six out of 10 for affordability. It could be cheaper.
The costing model is a bit expensive as compared to its equivalent partners. If they can optimize the cost, it would be much better. Otherwise, people would step back. I would rate it a seven on a scale of one to ten, where ten is for the cheapest, and one is for being high priced.
BigQuery pricing can increase quickly. It's a high-priced solution. It would help if you researched how to reduce the price. It would take some time to find out how to set up BigQuery in a way that reduces its pricing.
In my previous company, we were not spending that much. You give more money away to the other tools from GCP. We paid maybe €200 or something like that and no more than that. This year, we pay €170 a month.
The price is a bit high but the technology is worth it. If you do not use the solution in the right way, it will be expensive.
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.
The pricing is fine.
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.
I have tried my own setup using my Gmail ID, and I think it had a $300 limit for free for a new user. That's what Google is offering, and we can register and create a project.