Google BigQuery Pricing

Cost per consumption Serverless Simple and intuitive UX … Development of dashboards and reports at a very low cost Execution of automatic

adds to the cost savings, for creating ETLs into local warehouse for connecting GA data to BI tools Pay per Use model makes it more cost effective, for … The syntax differences for using Google BigQuery can be annoying sometimes. Cost is too high (pay per query) so you have to be careful while running any query … then only it makes sense to move to Google B…

Transparency in terms of cost Utilisation of the data warehouse and suggestion on the sizes Easy to use … Reduced time to integrate from one components to another Reduced the cost for cloud warehousing Ease of use so reduced time to get to use on a dai…

is an excellent choice. The price is also very reliable given the amount of data we store. … Extremely reliable Reasonable cost

Google BigQuery charge according to the quality of the code. So if it is long and lengthy and not

platform which is a minus point if you want a local setup. Can be a little expensive to manage. A little difficult to manage someone with less technical expertise

data store is probably all you need, which can likely be used at a lower cost. … infrastructure. Instead of spending our time on our analytics and bringing that value to our customers. … within that eco-system. Of course, we made sure it met our needs and was cost…

purchases. Google BigQuery has helped build a big data warehouse with lower cost and IT resources for smaller sales and marketing campaign requirements. … constraints on the amount of data an analyst can query or pay the additional cost when exceeding the limit, basic Google…

Query pricing is still higher if we don't take flat pricing which is high. Storage pricing is also counted. It do not handle … also used for aggregation by running scheduled queries on it. With flat pricing, we are able to optimally use it for a…

same SQL query on RDBMS, assuming your data is mostly structured. It is expensive if you have a lot of data that needs to be queried each time the query … less suited if you have to analyze the data on a regular basis since the cost of accessing compute and storage adds up…

dangerous. The charges can rack up quickly if you don't construct your queries properly. Traverse too much data too frequently and you can cost yourself some … BigQuery allows for storage of a massive amount of data for relatively low prices. Easy to learn. BiqQuery uses SQL-like queries and is easy to transfer your … We've s…

have it accessible via cloud storage. The cost is high, even though you only pay for what you use. Ideally the cost would be lower for certain usage ranges … we collect in surveys and in regular work projects. Only one person is in charge of it as we are a small company. It works extremely well for my company…

Pricing has been very reasonable for us. The first 10 GB of storage is free each … after that. For example, if you store 1 terabyte (TB) for a month, then the cost would be $20. Streaming data inserts start at 1 cent per 200 megabytes (MBs)

Suited to any company, small or large (as it's extremely scalable and low cost as it scales), that wants or needs to dive into data to make more data-driven … Scalable. Love that it uses SQL. Low-cost. Easy integration with firebase. … Suited to a…

data storage is flexible and easily accessible for everyone. It is also a cost-effective method from what I understand, so if your company needs to enable

on a huge dataset. Huge means data in TB's. This also reduces the company cost to build that kind of infrastructure to store data. … on a huge dataset. Huge means data in TB's. This also reduces the company cost to build that kind of infrastructure to store data. Not specific to Google … Generating remarketin…

We liked BQ because the cost of it is only dependent on the amount of data you store (and there are tiers … data access) and how much you search. For us, it is significantly less expensive to run BQ than an equivalent hosted RDBMS. Because most of our data pipelines

broadly adopting Understanding the pricing of various queries can be a challenge. Figuring out what makes a query more expensive than another takes time.

No need to maintain any infrastructure Exteremly cheap while easy to understand pricing IT IS FAST!!! … option to build 247 infrastructure to support our API requests which would cost us hundreds of thousands of dollar to build, or use BigQuery! In Our use-case &he…

some Hadoop infrastructure, HIVE or Spark, your existing solution might be cheaper. There are best practices which can decrease your costs a lot (for e.g.

Comparing to competitors, Google BigQuery has the lowest cost and most flexible pricing model. Definitely higher … the compute power when you need it. For a startup company, BlueCava cannot afford the massive compute power required for the reports we'd like to create, … charged…