

Snowflake Data Cloud and SAP BW4HANA both compete in data warehousing and management. Snowflake appears to have the upper hand with its scalability, flexibility, and ease of use in cloud-native environments.
Features: Snowflake Data Cloud offers unparalleled scalability with limitless storage expansion, superior performance through its distributed architecture, and flexibility allowing dynamic scaling of nodes or clusters. It supports various file formats and offers real-time streaming with Snowpipe. The inclusion of Snowflake Time Travel and zero-copy clone enhances data management and recovery. SAP BW4HANA integrates well with SAP ERP and offers preconfigured business content and metadata solutions. It supports historical trend analysis and provides real-time reporting capabilities. The solution's dashboard and predictive analytics functionality are valuable features.
Room for Improvement: Snowflake's geo-spatial querying capabilities are less developed, and its SnowSQL tool lacks intuitiveness. Users also desire a more transparent pricing model. Improving integration with third-party analytics tools and adding advanced machine learning functions are also needed. SAP BW4HANA could enhance its integration with non-SAP environments and cloud connectivity. Its flexibility in non-SAP environments and the need for improved openness for working with other platforms are areas for improvement.
Ease of Deployment and Customer Service: Snowflake primarily operates in the public cloud, offering robust scalability and receiving positive customer service feedback. However, there are some criticisms regarding slower response times. SAP BW4HANA provides deployment flexibility between on-premise and cloud, but users may experience slower support response compared to cloud-native solutions like Snowflake.
Pricing and ROI: Snowflake's pay-as-you-go pricing model is generally seen as reasonable, with many users reporting positive ROI from long-term use. However, estimating costs can be challenging. SAP BW4HANA, although considered expensive, often justifies its cost through comprehensive enterprise capabilities. SAP's traditional licensing setup offers less flexibility compared to Snowflake's cloud-based model.
In the meantime, I found solutions independently and provided two solutions to my client.
I am satisfied with the response time and quality.
I received great support in migrating data to Snowflake, with quick responses and innovative solutions.
I am satisfied with the work of technical support from Snowflake; they are responsive and helpful.
The technical support from Snowflake is very good, nice, and efficient.
Snowflake is very scalable and has a dedicated team constantly improving the product.
The billing doubles with size increase, but processing does not necessarily speed up accordingly.
Recently, Snowflake has introduced streaming capabilities, real-time and dynamic tables, along with various connectors.
Snowflake is very stable, especially when used with AWS.
Snowflake as a SaaS offering means that maintenance isn't an issue for me.
Integration needs improvement.
The integration with AI/ML in SAP BW4HANA is currently very limited, which is definitely an area that needs improvement.
Enhancements in user experience for data observability and quality checks would be beneficial, as these tasks currently require SQL coding, which might be challenging for some users.
What things you are going with to ask the support and how we manage the relationship matters a lot.
If more connectors were brought in and more visibility features were added, particularly around cost tracking in the FinOps area, it would be beneficial.
The certification cost for SAP BW4HANA in 2025 is expected to be one lakh forty thousand.
Snowflake's pricing is on the higher side.
Snowflake lacks transparency in estimating resource usage.
The best features include the ability to create data sources directly on tables, and perform mapping without creating info objects.
The capability to handle a large amount of data and perform ETL operations is most valuable.
We had a comparison with Databricks and Snowflake a few months back, and this auto-scaling takes an edge within Snowflake; that's what our observation reflects.
I have used the Snowflake Zero-Copy Cloning feature in the past while prototyping data in lower environments. This feature is helpful as it saves a lot of time during the data replication process.
Snowflake is a data lake on the cloud where all processing happens in memory, resulting in very fast query responses.
| Product | Market Share (%) |
|---|---|
| Snowflake | 10.1% |
| SAP BW4HANA | 3.7% |
| Other | 86.2% |

| Company Size | Count |
|---|---|
| Small Business | 16 |
| Midsize Enterprise | 4 |
| Large Enterprise | 29 |
| Company Size | Count |
|---|---|
| Small Business | 29 |
| Midsize Enterprise | 20 |
| Large Enterprise | 58 |
SAP BW4HANA is a data warehouse solution developed by SAP for businesses looking to analyze big data in real time. It is designed to run on the SAP HANA database, offering improved performance and optimized processing of large data sets. SAP BW/4HANA provides an array of advanced analytics capabilities, including predictive analytics, text analytics, and spatial data processing. It also offers a modern, intuitive user interface and streamlined data modeling and administration tools, making it easier for businesses to access, manage, and utilize their data.
SAP BW4HANA Features
SAP BW4HANA has many valuable key features. Some of the most useful ones include:
SAP BW4HANA Benefits
There are many benefits to implementing SAP BW4HANA. Some of the biggest advantages the solution offers include:
Reviews from Real Users
SAP BW4HANA is a solution that stands out when compared to many of its competitors. Some of its major advantages are its hierarchical alert slicing, real-time insights, and its ability to transform large amounts of data.
PeerSpot reviewer, Srivatsav A., SAP BW/4HANA Specialist at a government, is very happy with the solution. He explains, "You can do hierarchical alert slicing and dicing out-of-box, which is not available in other solutions. I haven't come across that in Oracle or any other software provider."
“It has got wonderful features in terms of analyzing your production data, and it gives you real-time insight into productive maintenance. You can plan your budget, and you can map them against actuals. It gives you good insights on overall performance and processes,” says Amrit J., ERP Application Manager at an energy/utilities company.
In addition, a Technology Analyst at a tech services company mentions, "The most valuable feature is that we can transform a huge amount of data and apply business logic as per the requirements."
Snowflake provides a modern data warehousing solution with features designed for seamless integration, scalability, and consumption-based pricing. It handles large datasets efficiently, making it a market leader for businesses migrating to the cloud.
Snowflake offers a flexible architecture that separates storage and compute resources, supporting efficient ETL jobs. Known for scalability and ease of use, it features built-in time zone conversion and robust data sharing capabilities. Its enhanced security, performance, and ability to handle semi-structured data are notable. Users suggest improvements in UI, pricing, on-premises integration, and data science functions, while calling for better transaction performance and machine learning capabilities. Users benefit from effective SQL querying, real-time analytics, and sharing options, supporting comprehensive data analysis with tools like Tableau and Power BI.
What are Snowflake's Key Features?
What Benefits Should You Look for?
In industries like finance, healthcare, and retail, Snowflake's flexible data warehousing and analytics capabilities facilitate cloud migration, streamline data storage, and allow organizations to consolidate data from multiple sources for advanced insights and AI-driven strategies. Its integration with analytics tools supports comprehensive data analysis and reporting tasks.
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