BigQuery vs SAP Business Warehouse comparison

"The solution is very useful nowadays for keeping a huge number of records."

"The main thing I like about BigQuery is storage. We did an on-premise BigQuery migration with trillions of records. Usually, we have to deal with insufficient storage on-premises, but in BigQuery, we don't get that because it's like cloud storage, and we can have any number of records. That is one advantage. The next major advantage is the column length. We have some limits on column length on-premises, like 10,000, and we have to design it based on that. However, with BigQuery, we don't need to design the column length at all. It will expand or shrink based on the records it's getting. I can give you a real-life example based on our migration from on-premises to GCP. There was a dimension table with a general number of records, and when we queried that on-premises, like in Apache Spark or Teradata, it took around half an hour to get those records. In BigQuery, it was instant. As it's very fast, you can get it in two or three minutes. That was very helpful for our engineers. Usually, we have to run a query on-premises and go for a break while waiting for that query to give us the results. It's not the case with BigQuery because it instantly provides results when we run it. So, that makes the work fast, it helps a lot, and it helps save a lot of time. It also has a reasonable performance rate and smart tuning. Suppose we need to perform some joins, BigQuery has a smart tuning option, and it'll tune itself and tell us the best way a query can be done in the backend. To be frank, the performance, reliability, and everything else have improved, even the downtime. Usually, on-premise servers have some downtime, but as BigQuery is multiregional, we have storage in three different locations. So, downtime is also not getting impacted. For example, if the Atlantic ocean location has some downtime, or the server is down, we can use data that is stored in Africa or somewhere else. We have three or four storage locations, and that's the main advantage."

"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."

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

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

"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."

"The best features of BigQuery for me are the fact that it's low-code, no-code; you don't have to be a data scientist to really utilize the tool."

"One of the most significant advantages lies in the decoupling of storage and compute which allows to independently scale storage and compute resources, with the added benefit of extremely cost-effective storage akin to object storage solutions."

"Now, because of the HANA integration, the hard disk and RAM are together, and because of that, the output is very quick and very fast actually."

"Having the integration with the reporting tool which is provided by SAP is great."

"The best features of SAP Business Warehouse that I am fond of are how this technology handles navigational attributes and the hierarchy; these are two interesting features."

"The warehouse is the solution's most valuable feature."

"With the technical support, the response has been pretty good from the SAP side."

"The product is very stable."

"The features that I have found most valuable are its capabilities to connect to Excel and to slice and dice."

"Having the back-end data set with the right information is the best qualification for this solution."

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

"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."

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

"They could enhance the platform's user accessibility."

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

"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."

"The solution should reduce its pricing."

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

"What I'd like improved in SAP Business Warehouse is its setup. It could be more flexible, and it could be a configuration-based setup."

"You can start quickly but, when you have to get a little more detailed, when you have to change something, when you have to solve problems, it's not that easy. It's easy to start but evolving is not that easy."

"The solution could offer better connectivity with other databases."

"SAP Business Warehouse could improve by having more out-of-the-box use cases to cover more business types or operations."

"In the next release, my suggestion would be to have user-friendly interfaces and performance issues be addressed."

"The advanced structuring can be complicated and the interface is not very intuitive."

"I would like to see a different end solution in order to read the data and attract internal users."

"There is room for improvement from a technical perspective."

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

"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 pricing is adaptable, ensuring that organizations can tailor their usage and costs based on their specific requirements and configurations within the Google Cloud Platform."

"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."

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

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

"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."

"The solution is quite expensive."

"I would not recommend it to small-scale companies. The price is too much."

"It's quite pricey. SAP changed its pricing policy, so they give you one engine and then you have to buy everything next to it, like MSS, the BPC licenses, and everything else."

"It's moderately expensive, but definitely has its branding and price value for it."

"The license for SAP Business Warehouse is paid yearly, and there's no extra cost in addition to the standard licensing fees."

"SAP Business Warehouse licensing is a bit expensive compared to other products in the market."

"The licensing cost for SAP Business Warehouse depends on your revenue. Its licensing structure is a little bit complicated. The more your revenue is, the higher the price, but SAP does have different pricing structures for various companies. For small businesses, licensing isn't based on revenue, but for big companies, it's revenue-based. There's some agreement regarding pricing for huge companies, so it's different, and SAP Business Warehouse pricing isn't fixed. On a scale of one to ten, I'm rating the licensing cost for SAP Business Warehouse as five because it's very high. As your revenue grows, your licensing cost also increases, so you have to factor that in when calculating your cost."

"Overall, the pricing is not fixed and is expensive."