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 seems very difficult to get proper advanced assistance on advanced or complicated problems.
The quality of support from SAP is very good; if it's a known problem, they will have a knowledge base, so we will get immediate assistance.
Recently we had a two-day session where the Snowflake Analytics team provided a demo on Cortex AI and its features.
The technical support for Snowflake Analytics is excellent based on what I have heard from others.
We can span the read and write load into multiple nodes, and that scalability is there.
If we wanted to add more servers into this entire setup, that would be fairly easy, so it's rather good when it comes to scalability.
Storage is unlimited because they use S3 if it is AWS, so storage has no limit.
Maintaining security and data governance becomes easier with an entire data lake in place, and the scalability improves performance.
It supports both horizontal and vertical scaling effectively.
It's usually something external, such as lack of disk space or problems arising from the integration to other systems.
Snowflake Analytics has been stable and reliable in my experience.
Snowflake Analytics is stable, scoring around eight point five to nine out of ten.
If the CPU utilization is very high, there is no direct way we can find out which query is taking the most CPU.
When there is an issue, the error messaging we get is not always sufficient to do a fast and solid fix.
I would prefer Snowflake Analytics to improve their support response times, as sometimes the responses we receive are not very prompt and ticket assignments may not be timely.
If it offered flexibility similar to Oracle and supported more heterogeneous data sources and database connectivity, it would be even better.
AIML-based SQL prompt and query generation could be an area for enhancement.
Snowflake is better and cheaper than Redshift and other cloud warehousing systems.
Snowflake Analytics is quite economical.
Snowflake charges per query, which amounts to a very minor cost, such as $0.015 per query.
We can get historical data quickly, and you can fetch information very quickly because every column is indexed.
The most valuable feature of SAP IQ for us is that it works very effectively with the SAP BusinessObjects which we use it with.
Snowflake Analytics supports data security with a single sign-on feature and complies with framework regulations, which is highly beneficial.
Running a considerable query on Microsoft SQL Server may take up to thirty minutes or an hour, while Snowflake executes the same query in less than three minutes.
The end-to-end encryption provided by Snowflake Analytics is very important because, in my previous firm, working in finance and investment management, data encryption is necessary due to the sensitive nature of customer data and the involvement of people's money.
| Company Size | Count |
|---|---|
| Small Business | 7 |
| Midsize Enterprise | 2 |
| Large Enterprise | 15 |
| Company Size | Count |
|---|---|
| Small Business | 10 |
| Midsize Enterprise | 12 |
| Large Enterprise | 21 |
SAP® IQ software delivers speed and power for extreme-scale enterprise data warehousing and analytics. Its column-oriented, grid-based massively parallel processing (MPP) architecture and patented data compression and indexing technologies enable companies to exploit the value of huge amounts of data at the speed of business.
Conventional data platforms and big data solutions struggle to deliver on their fundamental purpose: to enable any user to work with any data, without limits on scale, performance or flexibility. Whether you’re a data analyst, data scientist, data engineer, or any other business or technology professional, you’ll get more from your data with Snowflake.
To achieve this, we built a new data platform from the ground up for the cloud. It’s designed with a patented new architecture to be the centerpiece for data pipelines, data warehousing, data lakes, data application development, and for building data exchanges to easily and securely share governed data. The result, A platform delivered as a service that’s powerful but simple to use.
Snowflake’s cloud data platform supports a multi-cloud strategy, including a cross-cloud approach to mix and match clouds as you see fit. Snowflake delivers advantages such as global data replication, which means you can move your data to any cloud in any region, without having to re-code your applications or learn new skills.
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