Google Cloud Bigtable Reviews

My main use case for Google Cloud Bigtable is mainly for advertisement-related analytics-related use cases.

The functions of Google Cloud Bigtable that I have found most valuable are comparable to other products. As a GCP alternate, performance-wise, it matches up to other NoSQL databases such as Cassandra and others. In that way, it is a good match for clients who are already on cloud.

The main benefit I receive from Google Cloud Bigtable is the managed service part. People who are moving over from on-premises to cloud can map without much hassle to a similar service. Though alternates are available, managing these services is cumbersome for clients, and that is where Google Cloud Bigtable helps.

When a client gives our organization a project where they need a dashboard for their company, they provide us with some data from their database, which is usually presented in Google Cloud Bigtable. My organization needs to evaluate and clean the data in Google Cloud Bigtable as per our client's requirements, after which it will be sent to Power BI and converted into load data, following which we give the report to our client.

Google Cloud Bigtable is a tool that is useful when a company has a lot of data to evaluate with many effective elements. When it comes to the analysis part, the tool is helpful for the user when it comes to the composition of reports and dashboards.

The data loading, transformation, and the help that Google Cloud Bigtable provides users with the transformation of data, which helps in the evaluation of reports, are features I like the most about the product.

I make use of Google Cloud Bigtable when there are issues on production that need fast resolutions. I make use of the available tools to analyze the issues and proffer solutions. I also use it to check some of our company's transactions, failures, and other related things.

The most valuable feature of the solution, or what I like best, is its seamless functioning. You can run a query with different parameters without putting in any effort since you are just provided with the column or drop-down list by the solution, and it even helps guess a query for you. The product helps make a database look seamless or very easy to use.

The solution is being used for enterprise service. 

The solution is very convenient. 

Our primary use case is for analytics, analyzing the data sets and curing.

Bigtable is very user-friendly where streaming data is required. I think it's relatively easier to use than Ascentra. The fact that it's a managed service is an advantage.  

We've helped some conglomerates collect all the data scattered across their CRM and other business systems and feed it into Google Cloud's ecosystem. We run analytics on the data to provide insights to the leadership team in the form of dashboards integrated with tools like Tableau, Looker, etc.

We have at least three clients on Bigtable, but more of our customers are on Bigquery. Bigtable is also used for a couple of our clients in the automobile sector.

Bigtable is faster than other competitors in the market. It helps us collate all the data, and the security features are great. The latency is low, and the computation speed is fantastic. Bigtable is also a managed service, so you don't have to worry about anything aside from analyzing the data ingested.

We are a product team and we implement solutions such as Bigtable for our clients.

The primary use is Data Management as a Service.

The most valuable feature is the backup and replication service.