SAP Datasphere vs. Snowflake

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
SAP Datasphere
Score 8.3 out of 10
N/A
SAP Datasphere, the next generation of SAP Data Warehouse Cloud, is a comprehensive data service that enables data professionals to deliver seamless and scalable access to mission-critical business data. It provides a unified experience for data integration, data cataloging, semantic modeling, data warehousing, data federation, and data virtualization. SAP Datasphere enables users to distribute mission-critical business data — with business context and logic preserved — across the data…N/A
Snowflake
Score 8.9 out of 10
N/A
The Snowflake Cloud Data Platform is the eponymous data warehouse with, from the company in San Mateo, a cloud and SQL based DW that aims to allow users to unify, integrate, analyze, and share previously siloed data in secure, governed, and compliant ways. With it, users can securely access the Data Cloud to share live data with customers and business partners, and connect with other organizations doing business as data consumers, data providers, and data service providers.N/A
Pricing
SAP DatasphereSnowflake
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
SAP DatasphereSnowflake
Free Trial
YesYes
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional DetailsSAP Datasphere is available as a subscription or consumption-based model. The SAP Datasphere capacity unit (CU) offers an adaptable approach to pricing that enables any workload on any hyperscaler. The number of CUs required is determined by the unique workload, with the ability to tailor the combination of required services within SAP Datasphere utilizing a flexible tenant configuration. The services that contribute to CU consumption are the core application (compute and storage), data lake, BW bridge, data integration, and data catalog (crawling and storage).
More Pricing Information
Community Pulse
SAP DatasphereSnowflake
Considered Both Products
SAP Datasphere
Chose SAP Datasphere
SAP Data Intelligence, SAP Analytics Cloud, SAP BW/4HANA, SAP HANA Cloud, SAP Business Technology Platform and SAP Data Services
Chose SAP Datasphere
some features are better, other for e.g. big data analysis or ai cases not
Chose SAP Datasphere
Each of these listed software has its own unique strength and capacity that scales well. SAP Datasphere on its end up against them with more suitability for large establishments with complex data ecosystems with scalability support. Also, it avails a pay-as-you-go pricing for …
Chose SAP Datasphere
Three main advantages:
1. cost effectiveness
2. Robust and data friendly environments from all sources
Chose SAP Datasphere
I am only going to talk about the visualizing and analytics part of SAP Datasphere because if I start listing what the whole SAP ecosystem provides, then it would not even be a comparison. In a summary, Google Analytics is high-level. Of course, the introduction of the new GA4 …
Chose SAP Datasphere
SAP Datasphere has robust backend integration tools that makes it easy to integrate non-SAP unlike alternatives such as Snowflake.
Chose SAP Datasphere
Cloud based is the future and will enable significant reduction in maintenance from SAP BW on prem solutions.
Chose SAP Datasphere
Scalability and effectiveness to handle large volumes of data while maintaining consistency with the applications. Excellent with data integrity by eliminating duplications. Magnificent with a collection of data from different sources to get trusted data for making decisions.
Chose SAP Datasphere
The Friendly interface that SAP offered was second to none. The Tracking and tracebility that was Integrated helped in configuring locations quite easily and while shifting of cargo it was never an issue. Distribution wise SKU segregation was never a problem and report …
Chose SAP Datasphere
DWC really allows no code model development and also integrates with a lot of data sources without additional tools as ETL
Chose SAP Datasphere
Compared to the SAP Business Warehouse, the DWC can be operated with the SAC in a cloud environment on the Business Technology Platform. Thus, a single point of entry or single point of truth is given in the DWC, and reporting in the SAC is possible. The complete corporate …
Chose SAP Datasphere
It is very easy and quick to develop.it has good and excellent self-service. The use of state art data platform is very easy and simple. It has a high-performance and scalable data warehouse. It accelerates time to value real-time. It gives data a new level of consumption.
Chose SAP Datasphere
It is user-friendly and has self-service tools. It has built-in capabilities such as a data lake. It backed integration capabilities. It gives data on a new level of consumption. It is easy and very quick to develop. It has a high-performance and scalable data warehouse.
Chose SAP Datasphere
Both tools are fairly the same, but we mainly focused on SAP Data Warehouse Cloud since we had a lot of SAP services that were simple to integrate with each other.
Snowflake
Chose Snowflake
Snowflake provides various features, such as integration with Python using Snowpark. The reporting feature that caters to your small reporting needs is Snowsight. The Snowflake data marketplace is where you can get multiple data for free and even some of the data which you can …
Chose Snowflake
These are comparable products that can make sense depending on the specific needs of your organization. All are certainly serviceable and have varying pros and cons. Snowflake seems to provide the greatest degree of flexibility and easy scalability as new data gets brought into …
Chose Snowflake
Snowflake stacks up well against many of the other players in the space. We used Teradata before and it seems to perform better.
Chose Snowflake
We needed scalability and a new way of organizing our data; Snowflake allowed us to have a clearer view of our data warehouses and schemas. Snowflake is also way superior in terms of speed and quick insights from the raw data you query, which is very valuable to us.
Chose Snowflake
Snowflake has an attractive pricing model with auto-suspend and auto-resume and pay per use. AWS Redshift requires higher administrative efforts to maintain and scale the platform whereas with Snowflake those admin tasks are not needed or automatically taken care of.
Chose Snowflake
Cloud -Native architecture, Separation of Storage and Compute provides flexibility, Scalable Compute, Cost and Data Security
Chose Snowflake
We had a MS SQL server with over 2 TB of ram & 51 processors that we were using, that could no longer handle our workload. Snowflake can handle 3 times that workload with ease and efficiency.
Chose Snowflake
Snowflake is much faster and easier to write queries and pull data. But the visualization part of Snowflake is not as good as them. Also, Snowflake only supports SQL queries but not python or other languages. So basically Snowflake is the expert in its field but not suitable …
Chose Snowflake
We particularly liked Snowflake's security model as well as its unique storage (whereby everything is essentially a pointer to immutable micro-partitions, which is the key behind its zero-copy cloning, its secure sharing, its time travel, etc.). and also how it separates …
Chose Snowflake
While Snowflake is more open to cloud eco system, SAP integrated well with SAP eco system products like SAP ECC or SAP S/4. So for people who have invested heavily in SAP eco system including SAP ECC or S/4, it makes sense to go with SAP DWC which is also evolving very rapidly. …
Chose Snowflake
In my opinion, the other tools have similar and some different features; however, when I ran proof of technologies between Synapse and Snowflake. Snowflake did things better or just had functionality that the other tools did not. One that stuck out at the time was scale up …
Chose Snowflake
Each of the other solutions were cloud vendor specific, Snowflake can ride on either Amazon Web Services, Microsoft Azure, or Google Cloud. The fact that they are ANSI-sql compliant and have an effective means of offloading data makes them portable and easy to sell to teams …
Chose Snowflake
Azure and Snowflake compared very similarly, but Snowflake provided more options to integrate and connect with tools/companies that were not partners. It seemed to be a more flexible environment. The barrier for entry on Oracle and Google we just too complicated. In particular, …
Chose Snowflake
I have had the experience of using one more database management system at my previous workplace. What Snowflake provides is better user-friendly consoles, suggestions while writing a query, ease of access to connect to various BI platforms to analyze, [and a] more robust system …
Chose Snowflake
Snowflake has won the match because it is giving an excellent performance with its efficient features and reliable results. This is a totally secure program for our precious and important data.
Chose Snowflake
Our initial data warehousing solution was Treasure Data. We had issues with the costly pricing model, which would be exhorbitant if we want to hold our data in memory and query using Presto. As a result, some heavy lifting was done in Hive (managed by Treasure Data); …
Chose Snowflake
Snowflake beats these other products in every category it was rated against
Chose Snowflake
In my experience running the data management practice at InterWorks, we believe that cloud data warehouse products will eventually serve the majority of data warehousing use cases and power data analytics at most companies. Of this cohort, we believe that Snowflake is the best …
Chose Snowflake
Redshift compute and storage can be scaled up/down together (though they added some features recently, they don't quite add up). I haven't tried Avalanche or Firebolt but would love to in the near future, due to their pedigree or revolutionary billing methods.
Chose Snowflake
- Cost was the main aspect on the decision.
- Performance was in par or better compared to other tools in the market.
- Snowflake in my opinion stacks better than other tools I have used in the past.
Chose Snowflake
Accommodates future data types such as JSON and XML. Scalability is another advantage. Pay per use is beneficial for organizations like yours. Direct connectors with AWS help us to go with it. No limit on user creation and clone data not eating up extra disk space are a few …
Chose Snowflake
Since we switch from amazon redshift to Snowflake, we found Snowflake is much better than redshift in many ways, including the data integrate and data pull. However, comparing directly pull data from amazon s3, Snowflake is quite slow in terms of data pull speed and the more …
Chose Snowflake
Compared to Amazon Redshift, Snowflake is slightly easier and faster to achieve ROI but based on the user's perspective, the two tools have very little difference since both are leveraging SQL to pull data from AWS S3. Snowflake is also working with Microsoft Azure but it is …
Chose Snowflake
Our issue with Redshift was that it was very expensive. On top of that, queries were still slow and if we used more of Redshift's memory, then it would have cost even more. Snowflake is not cheap, but less costly for us. Plus, the performance was much better. Also, we got to …
Chose Snowflake
Snowflake is a lot faster, feels more lightweight, and is overall easier for our BI team to manage and grant warehouse accesses.
Best Alternatives
SAP DatasphereSnowflake
Small Businesses
Google BigQuery
Google BigQuery
Score 8.4 out of 10
Google BigQuery
Google BigQuery
Score 8.4 out of 10
Medium-sized Companies
Snowflake
Snowflake
Score 8.9 out of 10
Google BigQuery
Google BigQuery
Score 8.4 out of 10
Enterprises
Snowflake
Snowflake
Score 8.9 out of 10
Google BigQuery
Google BigQuery
Score 8.4 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
SAP DatasphereSnowflake
Likelihood to Recommend
8.5
(0 ratings)
9.2
(0 ratings)
Likelihood to Renew
-
(0 ratings)
10.0
(0 ratings)
Usability
7.7
(0 ratings)
9.3
(0 ratings)
Support Rating
9.0
(0 ratings)
9.9
(0 ratings)
User Testimonials
SAP DatasphereSnowflake
Likelihood to Recommend
SAP is best suited for large global corporations. It is a very complex software and is difficult to come by individuals who have sufficient enough knowledge to master the product. Globally our company only has 1 person to support us in IT for SAP. It is great if you use a more complex web host such as SFCC as you can make connections to SAP for returns, inventory, price updates, etc.
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If you need a quick query, snowflake is the way to go. It's super simple and scalable; we were struggling before with Azure, and with Snowflake, everything runs smoothly, and we have more control over our schemas and warehouses. Snowflake, in my opinion, is the next step when you want to scale your business and manage data. If your company is still small, there may be cheaper options.
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Pros
  • SAP Data Warehouse Cloud offers free trial for 90 days with free 128 GB of storage and 64 GB memory.
  • Availability of self-service data modeling and analytics on SAP Data Warehouse Cloud enables users to access and analyze data without getting support from the IT team.
  • Without zero coding while collecting, connecting, analyzing and modeling data, it saves us time and operational costs of partnering with external IT support experts.
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  • Snowflake scales appropriately allowing you to manage expense for peak and off peak times for pulling and data retrieval and data centric processing jobs
  • Snowflake offers a marketplace solution that allows you to sell and subscribe to different data sources
  • Snowflake manages concurrency better in our trials than other premium competitors
  • Snowflake has little to no setup and ramp up time
  • Snowflake offers online training for various employee types
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Cons
  • SAP Data Warehouse Cloud is quite complex, therefore, some extra orientation or training might be essential, more so on cloud.
  • Secondly, SAP Data installation fee, and the monthly subscription amounts is slightly demanding, and the developer should refocus on changing them.
  • Nonetheless, SAP Data rectified other challenges like flexibility and customization, making us happy clients.
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  • Add constraints for views and not just for tables
  • Do not force customers to renew for same or higher amount to avoid loosing unused credits. Already paid credits should not expire (at least within a reasonable time frame), independent of renewal deal size.
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Likelihood to Renew
No answers on this topic
SnowFlake is very cost effective and we also like the fact we can stop, start and spin up additional processing engines as we need to. We also like the fact that it's easy to connect our SQL IDEs to Snowflake and write our queries in the environment that we are used to
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Usability
It is one of the best tools and a boon to Logistics teams across the globe. One tends to actually process warehousing data so smoothly and the way demonstration is made while in programs it makes it user friendly. The Inventory touch points that one identify is simply awesome and is best part.
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The interface is similar to other SQL query systems I've used and is fairly easy to use. My only complaint is the syntax issues. Another thing is that the error messages are not always the easiest thing to understand, especially when you incorporate temp tables. Some of that is to be expected with any new database.
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Support Rating
I would greatly acknowledge the services of Sap Data [warehouse Cloud] because we were struggling before its arrival where we used to get manual data connections and this used to consume a lot of time but after its use, we now are able to connect data easily saving a lot of time and finances.
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We have had terrific experiences with Snowflake support. They have drilled into queries and given us tremendous detail and helpful answers. In one case they even figured out how a particular product was interacting with Snowflake, via its queries, and gave us detail to go back to that product's vendor because the Snowflake support team identified a fault in its operation. We got it solved without lots of back-and-forth or finger-pointing because the Snowflake team gave such detailed information.
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Alternatives Considered
Each of these listed software has its own unique strength and capacity that scales well. SAP Datasphere on its end up against them with more suitability for large establishments with complex data ecosystems with scalability support. Also, it avails a pay-as-you-go pricing for users, and it is widely up for data quality, data governance, and data discovery.
Read full review
Snowflake provides various features, such as integration with Python using Snowpark. The reporting feature that caters to your small reporting needs is Snowsight. The Snowflake data marketplace is where you can get multiple data for free and even some of the data which you can buy according to your needs. And the integration options with various tools like Sigma are add-ons.
Read full review
Return on Investment
  • Enhanced our report generation process due to presence of holistic data.
  • Centralized data from all our platforms. This has helped us visualize and analyze all data much more efficiently.
  • It is more on the expensive side from both cost and training perspective.
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  • With separate compute and storage feature, the queries get executed quickly and it improves our overall productivity.
  • Earlier we were using a different product for analytical purposes, but with Snowflake's in-built analytical feature we are now able to save money.
  • Snowflake is cost efficient, features like auto suspend for compute resources helped to control the costs.
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ScreenShots

Snowflake Screenshots

Screenshot of Snowflake Installation