Google BigQuery vs. SAP BW/4HANA

One of the most important aspects while working with data warehousing solutions and analytics is the ability to handle large datasets. Google BigQuery is the best in business for that particular aspect. It is ridiculously fast while handling large data sets. Another aspect where it is well suited is the ability to integrate it with data visualization tools like Data Studio. It is fast, easy to use, and very reliable. The only aspect where I feel it is less appropriate where you have to pay more of inefficient scripts and that can hamper the growth of the company a bit.

Incentivized

Some scenarios where SAP BW/4HANA is well suited are retail industry, supply chain, finance, warehouse, stocking processes, BI, [and] some finance analytics reporting. Some scenarios where SAP BW/4HANA is less appropriate [is when] relational queries are needed [and] in some small business with infrastructure limitations. Another scenario that is less appropriate is for ABAP processes requirements.

Incentivized

• BigQuery is ridiculously fast and has the ability to query absurdly large data sets to return results immediately.
• BigQuery allows for storage of a massive amount of data for relatively low prices.
• Easy to learn. BiqQuery uses SQL-like queries and is easy to transfer your existing skills to use.

Incentivized

• High speed data warehouse regardless of data volumes.
• Excellent integration with SAP systems and Data sets.
• Simplified data modelling due to columnar data base.

Incentivized

• One issue with Google Cloud Storage is its price. For one to have that premium Google Cloud Storage, for the purpose of massive storage, he/she must have adequate cash. Otherwise, Google Cloud Storage is a safe and perfect online storage platform.
• The only thing that can come to mind that would be annoying with this software was that sometimes when trying to share files on the Cloud with coworkers, it would just not share at all, or there would be a massive delay in when I shared them and when they received them. Other than that though, everything is perfect with this.

Incentivized

• Enterprise license pricing is very expensive and run-time license limits the usefulness of the tool.
• Integration with SAP Analytics cloud for write-back to BW/4HANA. Live connection is only read from SAC.
• Make run-time licenses more useful.

Incentivized

web UI is easy and convenient. Many RDBMS clients such as aqua data studio, Dbeaver data grid, and others connect. Range of well-documented APIs available. The range of features keeps expanding, increasing similar features to traditional RDBMS such as Oracle and DB2

SAP BW/4HANA requires specialized skillsets around data warehouse modeling and the access to data, however the modeling capabilities are intuitive and have now become accessible to both SAP and non-SAP data warehouse specialists. This new model allows for Interchangeable skillsets and access to a broader pool of experts throughout the industry, as well as easier access to data.

Incentivized

It’s Google, they’re big and well organized, the documentation is abundant and the scalability is amazing. The UX is good too, considering it’s a professional tool expected to be used by people with a specific technical background. Overall, it makes me feels good and secure that we know where to store the data, how to use that data and that the data is handled with utmost security and performance practices.

Incentivized

SAP Max Attention and general support for SAP BW/4HANA is broadly available. Truth to be told, MaxAttention has a premium cost but brings great engineers. So this being an enterprise capability and extremely critical, we did not consider cost as the main factor since support works well. Just keep that in mind when making your selection.

Incentivized

Spinning up, provisioning, maintaining and debugging a Hadoop solution can be non-trivial, painful. I'm talking about both GCE based or HDInsight clusters. It requires expertise (+ employee hire, costs). With BigQuery if someone has a good SQL knowledge (and maybe a little programming), can already start to test and develop. All of the infrastructure and platform services are taken care of. Google BigQuery is a magnitudes simpler to use than Hadoop, but you have to evaluate the costs. BigQuery billing is dependent on your data size and how much data your query touches.

Incentivized

SAP Analytics Cloud is complemented by SAP BW/4 HANA through connectors that work in real-time and allow the display of indicator information in interactive and user-friendly visualizations. SAP Data Services integrates with BW/4 HANA allowing to automate the loading of information in the system taking as a data source a wide variety of platforms.

Incentivized

None so far. Very satisfied with the transparency on contract terms and pricing model.

Google Support has kindly provide individual support and consultants to assist with the integration work. In the circumstance where the consultants are not present to support with the work, Google Support Helpline will always be available to answer to the queries without having to wait for more than 3 days.

• Google BigQuery has had enormous impact in terms of ROI to our business, as it has allowed us to ease our dependence on our physical servers, which we pay for monthly from another hosting service. We have been able to run multiple enterprise scale data processing applications with almost no investment
• Since our business is highly client focused, Google Cloud Platform, and BigQuery specifically, has allowed us to get very granular in how our usage should be attributed to different projects, clients, and teams.
• Plain and simple, I believe the meager investments that we have made in Google BigQuery have paid themselves back hundreds of times over.

Incentivized

• Faster turn-around to enhancements
• End users can query structures that are not limited to multi-dimensional models.
• Performance improvements means that business user can do more in the same time compared to traditional BW

Incentivized