Google Cloud BigQuery Reviews

“Centralized product data system”

Pros

I also like how it connects with data tools, making it easier for me to move and manage information across systems.

Cons

Sometimes data can be lost during upgrades and not all users receive the same feature set at the same time.

“Reliable bulk update system”

Pros

Storing and accessing data feels simple for me and I can use queries to pull exactly what I need. I also like integrating it with tools like Microsoft Power BI to create custom dashboards.

Cons

I don't really have anything negative to say overall, it does what it promises and is fairly easy to use.

“Customizable catalog creation platform”

Pros

Speed and scalability stand out the most for me, since I can run queries on large datasets without delays and it connects well with other Google Cloud tools which makes my overall workflow much smoother.

Cons

Pricing can get a bit confusing, especially with heavier usage and costs can increase quickly if you're not careful. Some features also feel buried and require extra steps to access.

“Annoying autosave and expensive pricing”

Pros

From my experience, it works well as a great tool for querying unsampled GA4 data, although I do feel I wouldn't need it as much if GA4 already provided that data directly.

Cons

Autosaving queries feels a bit annoying because it turns on by default and I can't easily go back and review earlier versions of my code. On top of that, the cost is honestly very high.

“Efficient attribute filtering tool”

Pros

I find it easy to run BigQuery-style queries and load data through the interface. When I need to debug, I can quickly batch upload using CSV or connect through a streaming setup and then work with it like normal SQL which makes things flexible for me.

Cons

The way data is stored is also a bit hard to fully grasp. Unlike traditional databases, the internal storage system feels like a black box, so it's not very clear what's happening behind the scenes for engineers.

“All in one product system”

Pros

One of the strongest points for me is the speed. Even with massive datasets, queries run very fast and I don't have to worry about performance issues. I also like that it's fully managed, so I don't need to handle infrastructure myself and it connects easily with tools like Looker, Data Studio and other AI or ML pipelines.

Cons

Costs can also rise quickly when running frequent queries, especially if you're not actively monitoring usage. There's also a noticeable learning curve when it comes to advanced analytics and optimization techniques.

“Simple single source product platform”

Pros

I really like how it handles large-scale data, especially with column-based storage and strong data extraction capabilities which makes analysis much more efficient for me.

Cons

Handling large datasets takes longer than I would like which slows down some workflows.

“Clean product information portal”

Pros

It works very quickly in my day-to-day use and it also integrates well with other tools in the Google ecosystem which makes everything feel more connected and stable.

Cons

Pricing itself feels confusing and it's not always easy to predict what the final cost will be. The interface could also be improved to make things clearer and more user-friendly.

“Easy to use PIM system”

Pros

For me, it's also very useful for storing large unstructured data and then transforming it later for analytics purposes which helps in building ETL workflows.

Cons

For beginners, the pricing can feel quite expensive, even though the system is fast and generally reliable.

“Reduced manual product sync tool”

Pros

Great tool and I appreciate that there's a free tier with compute capacity and I also like the web-based interface along with the SQL editor which feels very easy to use for my work.

Cons

I haven't really come across anything that feels completely wrong with BigQuery.

“Fast product update system”

Pros

In my experience, it handles partitioning, data feeds and access control very well and it integrates smoothly with tools like Looker which makes reporting much easier.

Cons

Permission settings can be unclear at times, depending on what access a user needs. Some roles don't include what I would expect, especially when dealing with higher-level access controls.

“Simple Shopify integration setup”

Pros

Setting it up was easy for me and I like how it allows multiple types of data inputs while also providing useful insights through analysis and visualization.

Cons

Compared to some competitors, it does feel a bit limited in certain advanced use cases.

“Easy to use supported platform”

Pros

I've used it in both learning and professional environments and I still rely on it for data warehouse tasks where I need to make data accessible for analysts and developers. I also use it for logging ELT pipelines and I find it consistently simple to work with.

Cons

Understanding how pricing works in detail is important, especially when working with large volumes of data.

“Simple setup workflow system”

Pros

Importing data from tools like Google Sheets is something I find very convenient and I also like being able to run large queries without affecting performance.

Cons

I don't have any complaints about the tool so far.

“Flexible evolving product platform”

Pros

It feels fast and cost-efficient for me, especially when working with larger datasets.

Cons

Since it's a fairly basic database system, it doesn't include built-in analytics or visualization features and the interface isn't as user-friendly as some other tools.

“Easy cloud analytics tool”

Pros

From my experience, it is easy to use and the documentation made it simple for me to get started and understand things step by step.

Cons

For smaller businesses, the cost can feel quite high depending on usage.

“Good value supported platform”

Pros

Browsing and managing tables feels simple for me and I can easily understand the structure of the data.

Cons

It doesn't support direct data visualization, so I often have to export data or connect it with external visualization tools.

“Time saving connected data system”

Pros

Overall, I find it powerful, easy to set up and transparent in terms of cost. I also prefer how it handles dataset partitioning compared to other tools I've used.

Cons

The UI isn't very polished. Saved queries can get messy and scheduled queries are hard to manage, to the point where they don't feel very practical.

“Scalable cost effective CRM data warehouse”

Pros

In my experience, it works well for storing CRM data for clients and I find it both scalable and cost-effective for that purpose.

Cons

Setting up integrations usually requires someone with programming knowledge, even though it's not extremely difficult.

“Scalable CRM data storage system”

Pros

For storing CRM data, I rely on it regularly. It stays affordable for me and can scale easily as the amount of data grows.

Cons

Integration usually requires someone with programming knowledge, though it's not overly complicated.