BigQuery vs SAP NetWeaver Business Warehouse comparison

"We basically used it to store server data and generate reports for enterprise architects. It was a valuable tool for our enterprise design architect."

"The integrated data storage features are good."

"BigQuery excels at data analysis. It processes vast amounts of information using its advanced architecture and sophisticated querying capabilities, making it crucial for critical insights and safe for handling sensitive data."

"We like the machine learning features and the high-performance database engine."

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

"The most valuable features of this solution, in my opinion, are speed and performance, as well as cost-effectiveness."

"What I like most about BigQuery is that it's fast and flexible. Another advantage of BigQuery is that it's easy to learn."

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

"It is a robust system."

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

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

"Data modeling is a valuable feature."

"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."

"A robust and efficient product."

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

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

"The primary hurdle in this migration lies in the initial phase of moving substantial volumes of data to cloud-based platforms."

"The process of migrating from Datastore to BigQuery should be improved."

"We'd like to have more integrations with other technologies."

"BigQuery can be very expensive if not used properly. Introducing AI tools that would allow you to optimize the data extraction process is an area of serious improvement."

"There are some limitations in the query latency compared to what it was three years ago."

"I would like to see version-based implementation and a fallback arrangement for data stored in BigQuery storage. These are some features I'm interested in."

"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."

"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."

"The product could provide more features."

"The program is difficult to learn to use"

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

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

"Design and modeling could be simplified."

"The pricing is good and there are no additional costs involved."

"The platform is inexpensive."

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

"BigQuery is inexpensive."

"One terabyte of data costs $20 to $22 per month for storage on BigQuery and $25 on Snowflake. Snowflake is costlier for one terabyte, but BigQuery charges based on how much data is inserted into the tables. BigQuery charges you based on the amount of data that you handle and not the time in which you handle it. This is why the pricing models are different and it becomes a key consideration in the decision of which platform to use."

"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 tool has competitive pricing."

"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."