We performed a comparison between BigQuery and SAP Business Warehouse based on real PeerSpot user reviews.
Find out in this report how the two Cloud Data Warehouse solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."It's straightforward to set up."
"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 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 structuring data, performing predictions, and conducting insightful analyses and it leverages machine learning and artificial intelligence capabilities, powered by Google's Duarte AI."
"Even non-coders can review the data in BigQuery."
"The product’s most valuable feature is its ability to manage the database on the cloud."
"The product is serverless. We only need to write SQL queries to analyze the data. We need to pay based on the number of queries. The retrieval time is very less. Even if you write large queries, the tool is able to bring back data in a few seconds."
"What I like most about BigQuery is that it's fast and flexible. Another advantage of BigQuery is that it's easy to learn."
"With the technical support, the response has been pretty good from the SAP side."
"In terms of stability, comparatively, the solution is quite stable."
"The solution has functionality that makes it easy for end-users to readily extract data directly from Business Warehouse into Excel and carry on their analysis on their own."
"The product is very stable."
"The warehouse is the solution's most valuable feature."
"Out-of-the-box reports are very useful."
"The most valuable aspect of the solution is the integration with SAP ERP."
"The most useful feature is definitely the speed."
"The solution hinges on Google patterns so continued improvement is important."
"For greater flexibility and ease of use, it would be beneficial if BigQuery offered more third-party add-ons and connectors, particularly for databases that don't have built-in integration options."
"An area for improvement in BigQuery is its UI because it's not working very well. Pricing for the solution is also very high."
"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."
"They could enhance the platform's user accessibility."
"The product’s performance could be much faster."
"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 would be helpful if they could provide some dashboards where you can easily view charts and information."
"There is room for improvement from a technical perspective."
"I would like to see a different end solution in order to read the data and attract internal users."
"SAP Business Warehouse could integrate better with other ETL tools."
"They should reduce the product’s installation package size for easier downloading."
"The solution should be more open to the cloud."
"The way the data is stored is kind of rigid in SAP BW as a product. It could be more flexible so that when we are designing a solution, we can design our own data structures and try to improve performance."
"The advanced structuring can be complicated and the interface is not very intuitive."
"More integration with Microsoft Office products (not just Excel) would be helpful."
BigQuery is ranked 5th in Cloud Data Warehouse with 31 reviews while SAP Business Warehouse is ranked 9th in Cloud Data Warehouse with 25 reviews. BigQuery is rated 8.2, while SAP Business Warehouse is rated 7.8. The top reviewer of BigQuery writes "Expandable and easy to set up but needs more local data residency". On the other hand, the top reviewer of SAP Business Warehouse writes "Offers powerful analytics and integration capabilities but requires improved upgrade processes". BigQuery is most compared with Snowflake, Teradata, Oracle Autonomous Data Warehouse, Vertica and Microsoft Azure Synapse Analytics, whereas SAP Business Warehouse is most compared with Microsoft Azure Synapse Analytics, Snowflake, SAP BW4HANA, SAP NetWeaver Business Warehouse and Amazon Redshift. See our BigQuery vs. SAP Business Warehouse report.
See our list of best Cloud Data Warehouse vendors.
We monitor all Cloud Data Warehouse reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.
