BigQuery vs SAP NetWeaver Business Warehouse comparison

"The product's most valuable features include its scalability and the ability to handle complex queries on large datasets."

"The product’s most valuable feature is its ability to manage the database on the cloud."

"As a cloud solution, it's easy to set up."

"The integrated data storage features are good."

"It's similar to a Hadoop cluster, except it's managed by Google."

"BigQuery processes a substantial amount of data, whether in gigabytes or terabytes, swiftly producing desired data within one or two minutes."

"BigQuery has a very nice interface that you can easily learn if you know SQL."

"The most valuable features of BigQuery is that it supports standard SQL and provides good performance."

"Transformation is a valuable feature of SAP NetWeaver. I can transform the data as per my needs or my client's needs. For example, flat tables can be transformed with respect to our requirements to combine multiple modules into one single table, and we can derive analytics."

"The security and audit procedures are the most valuable features."

"It is a robust system."

"It provides us with proof of data, we can centralize all of the information, check it, and then provide the information to our users."

"It's an excellent over-all tool for managers to analyze their business."

"A robust and efficient product."

"Data modeling is a valuable feature."

"There is a limitation when copying data directly from BigQuery; it only supports up to ten MB when copying data to the clipboard."

"Instead of connecting directly to BigQuery, we connect to GCP, Cloud Run, and then to BigQuery, which is a long process."

"The price could be better. Compared to competing solutions, BigQuery is expensive. It's only suitable for enterprise customers, not small and medium-sized businesses, as they cannot afford this kind of solution. In the next release, it would be better if they improved their AI bot. Although machine learning and artificial intelligence are doing wonders, there is still a lot of room to enhance them."

"I understand that Snowflake has made some improvements on its end to further reduce costs, so I believe BigQuery can catch up."

"When it comes to queries or the code being executed in the data warehouse, the management of this code, like integration with the GitHub repository or the GitLab repository, is kind of complicated, and it's not so direct."

"BigQuery should integrate with other tools, such as Cloud Logging and Local Studio, to enhance its capabilities further and enable powerful and innovative analyses."

"I rate BigQuery six out of 10 for affordability. It could be cheaper."

"There is a good amount of documentation out there, but they're consistently making changes to the platform, and, like, their literature hasn't been updated on some plans."

"There are performance issues in terms of scalability and availability."

"Connectors are complex, and it is difficult to understand or know which connector should be used. For instance, if I want to connect APIs, I will not be able to do it directly. I would have to go to the portal integration to get the data. Therefore, having simplified connectors will make things much easier."

"The program is difficult to learn to use"

"It is difficult when your native language is not English. It is difficult for us to explain our issue and also difficult for the technical team to explain a resolution to us."

"Design and modeling could be simplified."

"I think more integration with other applications would be perfect."

"The product could provide more features."

"The product operates on a pay-for-use model. Costs include storage and query execution, which can accumulate based on data volume and complexity."

"The pricing appears to be competitive for the intended usage scenarios we have in mind."

"The solution's pricing is cheaper compared to other solutions."

"I have tried my own setup using my Gmail ID, and I think it had a $300 limit for free for a new user. That's what Google is offering, and we can register and create a project."

"We are above the free threshold, so we are paying around 40 euros per month for BigQuery."

"The price is a bit high but the technology is worth it."

"BigQuery pricing can increase quickly. It's a high-priced solution."

"The price could be better. Usually, you need to buy the license for a year. Whenever you want more, you can subscribe to it, and you can use it. Otherwise, you can terminate the license. You can use it daily or monthly, and we use it based on a project's requirements."

"All SAP products are expensive."

"Pricing is based on the number of user IDs and tyhe user ID works across a suite of products."

"The licensing cost is high for SAP NetWeaver compared to that for other products."