Google BigQuery

Well; data warehousing transformation flexible ingestion

The web UI, general features, libraries, and integration with other products is continuously improving and already very strong

web UI is easy and convenient. Many RDBMS clients such as aqua data studio, Dbeaver data grid, and others connect. Range of well-documented APIs available. The range of features keeps expanding, increasing similar features to traditional RDBMS such as Oracle and DB2

Requests and escalation are often quickly acted, however usually done through specific individuals instead of teams, therefore continuity may not always be smooth.

I would say that Google BigQuery are well suited for all scenarios, be it small scale projects or big projects where you have to maintain a huge chunk of data, you will find good budget to go with it. Easy to use for someone who is not well versed with cloud platform too.

Google Support members are very helpful in resolving the issues and queries. Any questions or queries will be entertained at a timely manner with professionalism, as well as tips and improvement that can be done for the proposed solutioning. In the case that some functionalities are not present within Google BigQuery, they are more than happy to admit the limitation and would like feedback for improvement.

Easy to use and to integrate. In terms of scalability, the size of the BigQuery can easily scale to suit the need of the process and design. No glaring limitation in terms of use for Google BigQuery based on the use for 1 year, and will continue to feel so after many years due to the support.

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.

None so far. Very satisfied with the transparency on contract terms and pricing model.

BigQuery is a huge benefit to companies that work remotely, process large datasets, or need to easily manage those large datasets. It's a powerful tool with cloud storage and the ability to work with large scale datasets. It works well if your monthly usage varies because you can pay for the processing you do- not paying for a minimum that you don't meet. It's not going to be a great option for companies with smaller datasets or who could operate with a less powerful and cheaper system.

BigQuery is a little bit difficult to learn at first. The tools are all there but it takes a few hours of practice and trial and error to be comfortable processing a large dataset. It can handle quite a bit and the cloud storage makes those experimental practice hours much easier to do in your spare time. The software is capable of doing a lot, it's just a matter of being patient and learning the ways of BigQuery.

As with any large company, support isn't always easy to get to. There are plenty of online tutorials and they have online guides that aren't too difficult to find. For last minute issues, a call is the best option to figure out what your next step should be. it's not a terrible customer service system, especially if you spend an appropriate amount of time beforehand familiarizing yourself with the system. That'll expedite any further questions you have down the road and make the support a much bigger help.