BigQuery vs SAP NetWeaver Business Warehouse comparison

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

"The feature called calibrating the capacity is valuable."

"The most valuable aspect of BigQuery is its ability to handle high data workloads without causing friction with our online systems."

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

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

"The query tool is scalable and allows for petabytes of data."

"I like that we can synch and run a large query. I also like that we can work with a large amount of data. You don't need to work separately, as it's a ready-made solution. It also comes with a built-in machine-learning feature. Once we start inputting the data, it will suggest some things related to the data, and we can come up with nice dashboards and statistics from a vast amount of data."

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

"A robust and efficient product."

"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."

"Data modeling is a valuable feature."

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

"It is a robust system."

"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 product’s performance could be much faster."

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

"The solution should reduce its pricing."

"As a product, BigQuery still requires a lot of maturity to accommodate other use cases and to be widely acceptable across other organizations."

"Some of the queries are complex and difficult to understand."

"When I execute a query, the dashboard doesn't always present the output seamlessly."

"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."

"When I open many of the Google Cloud products, I am in an environment that I do not feel familiar with; it is a little overwhelming."

"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."

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

"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 product could provide more features."

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

"Design and modeling could be simplified."

"The solution is pretty affordable and quite cheap in comparison to PDP or Cloudera."

"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."

"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."

"BigQuery is inexpensive."

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

"1 TB is free of cost monthly. If you use more than 1 TB a month, then you need to pay 5 dollars extra for each TB."

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

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

"All SAP products are expensive."