Google Cloud BigQuery Reviews & Product Details

Google Cloud stands "tall" & proximity for the cutting-edge strong innovation enterprise integration with various services in Artificial Intelligence & Machine Learning intricacies, & data analytics capabilities with the services spanning across BigQuery, Cloud Functions, Google Kubernetes Engine, Google Workspace & Firebase etc.

There are enormous features - ease of use & implementation, user-friendly interface, & frequency of use is high due to the versatility of the platform in handling sophisticated workload, orchestration, data analysis, serverless computing, & customer support centric oriented with high-level documentation. Review collected by and hosted on G2.com.

Google Cloud could benefit from enhanced compatibility with legacy systems & non-Google applications, particularly by simplifying the process of custom configurations.

As a leading force in the cloud space, Google Cloud demonstrates innovative growth, a strong customer-centric approach, & a consistently reliable suite of products. Review collected by and hosted on G2.com.

What i really like about google cloud is how well it integrates with other google services, If you're already in google ecosystem for example using gmail, google workspace or bigquery. I used google cloud services daily and everything feels just seamless. The UI is clean and i expecially enjoy the speed and reliability of services like compute engine and cloud storage. Pricing is also very competetive. Even non technical person can use most of the services by google cloud, and for developer its very easy to integrate with. Review collected by and hosted on G2.com.

So the only thing i dislike about google cloud is its invoicing and the billing dashboard its very overwhelming. There are times when i could not identify the charges as the services for being i am charged is not clearly mentioned. Review collected by and hosted on G2.com.

Honestly, what I love most about BigQuery is how easy it makes working with huge amounts of data. It's part my of may daily work. You know, like, really huge. It's like having this super-powerful engine that you don't have to worry about maintaining. You just throw your data in, and it just... works.

I think the biggest thing is that I don't have to deal with servers. No more worrying about setting things up, scaling, or any of that. It's just there, ready to go. Review collected by and hosted on G2.com.

The biggest thing that can get you is the cost. If you're not careful, those queries, especially the complex ones on huge datasets, can really add up. You've got to be smart about optimising them, or you'll get a surprise bill. Review collected by and hosted on G2.com.

BigQuery makes it really easy to run heavy queries on huge datasets without slowing down. The speed and performance are excellent, and we don’t need to worry about managing any servers. It also works smoothly with other Google Cloud services like Data Studio, which helped us set up dashboards quickly. Review collected by and hosted on G2.com.

The main issue is the pricing. If you don’t know how to write optimized queries, the costs can go up fast without warning. We had to spend time learning how to use it efficiently. Also, the billing dashboard could be more user-friendly for non-technical people. Review collected by and hosted on G2.com.

A lot of services and API integrations. I get a lot of options for integrating many applications directly from the dashboard and it makes my work very simple. The monitoring, management is very simple and easy to implement. The documentation is also great. Review collected by and hosted on G2.com.

Sometimes, the services becomes unresponsive but I do not get any information about the downtime, which causes a lot of trouble for me. Review collected by and hosted on G2.com.

Google Cloud offers a wide range of solutions for technology development and deployment, including Computing, Networking, data Storage and management, AI and machine learning, all in one integrated platform. GCP has user-friendly learning tutorials and reliable community support, which makes it easy to solve whatever challenges might come up. Review collected by and hosted on G2.com.

The user interface can appear complex to newcomers, as it lacks customization options for the left navigation menu. The inability to remove services not used by users can make the interface unnecessarily crowded. Review collected by and hosted on G2.com.

I have used multiple Google Cloud services, be it there Compute Engine, Firestore and the Kubernetes Engine. I really like how easy it is to spin up a machine and deploy your application and User Interface is quite simple and straightforward. I had also used other Cloud Platforms but what impressed me was the BigQuery and how it makes data analysis on massive data so fast and simple. I have used Firestore services like Storage and Realtime database for my app developments, and like how smoothly they integrate and interact. Review collected by and hosted on G2.com.

I strongly believe that they should increase the time for the free tier, so that users get more time to look and try services and then lock them out. Some services also lack the level of regional availability compared to competitors like AWS. Review collected by and hosted on G2.com.

BigQuery has been a reliable tool for marketing data integration. It's serverless, so it's easy to scale and let's us focus on other things rather than maintenance overall.

It's fast, so big querys that requires a lot of data takes just a few seconds to get the data. Review collected by and hosted on G2.com.

While BigQuery is an awesome tool, there are a few things that can be a bit frustrating.

Costs can add up quickly if you’re not careful. You need to focus on optimization and spend time setting up tables propperly.

Another thing is that the learning curve requires time if you’re not familiar with SQL, getting started can feel overwhelming (a lot of traditional SQL techniques does not work on BigQuery, and some capabilities in BigQuery are not industry standards) Review collected by and hosted on G2.com.

- Ease to use

- Ease of Implementation

- Number of Features

- Support

- Price

- Efficiency

- Lots of functions available

- Easy project and Dataset handling Review collected by and hosted on G2.com.

The way Google Cloud Big Query has evolved from it's inception is really comendable. So there are very less dislikes at the moment.

SQL Support could be further enhanced and integrations with different platforms via APIs can be added Review collected by and hosted on G2.com.

Quick onboarding for begginer with clear UI and comprehensive documentation and supports ad-hoc quering and scheduled batch jobs and native interactions with google ecosystem products make workflows seamless as ease of implementation having robust customer support. For Data analysis helpful for daily use. Review collected by and hosted on G2.com.

Misunderstanding of how queries are billed can lead to unexpected costs and requires careful optimization and awareness of best practices and while basic quering is simple, features like partitioning, clustering, and BigQuery ML reequire some learning and users heavily reliant on UI might find some limitations compared to standalone SQL clientsof third-party tools. Review collected by and hosted on G2.com.