BigQuery vs SAP NetWeaver Business Warehouse comparison

"BigQuery can be used for any type of company. It has the capability of building applications and storing data. It can be used for OLTP or OLAP. It has many other products within the Google space."

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

"It's pretty stable. It's fast, and it is able to go through large quantities of data pretty quickly."

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

"BigQuery is a powerful tool for managing and analyzing large datasets. The versatility of BigQuery extends to its compatibility with external data visualization tools like Power BI and Tableau. This means you not only get query results but can also seamlessly integrate and visualize your data for better insights."

"It has a proprietary way of storing and accessing data in its own data store and is 100% managed without you needing to install anything. There is no need to arrange for any infrastructure to be able to use this solution."

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

"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."

"A robust and efficient product."

"Data modeling is a valuable feature."

"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."

"It would be beneficial to integrate additional tools, particularly from a business intelligence perspective."

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

"It would be helpful if they could provide some dashboards where you can easily view charts and information."

"So our challenge in Yemen is convincing many people to go to cloud services."

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

"The main challenges are in the areas of performance and cost optimizations."

"When I execute a query, the dashboard doesn't always present the output seamlessly. Troubleshooting requires opening each pipeline individually, which is time-consuming."

"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."

"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."

"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"

"Design and modeling could be simplified."

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

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

"The product could provide more features."

"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."

"Its cost structure operates on a pay-as-you-go model."

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

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

"The platform is inexpensive."

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

"BigQuery is inexpensive."

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

"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."