We performed a comparison between SAP IQ and Snowflake Analytics 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."The column-based technologies (basically all the database for ITP) are used for SAP IQ. It is used as a column-based solution."
"The product is easy to learn."
"Columnar storage allows high compression, high load rates and high query performance."
"Unbeatable speed and compression with a colummn-structured relational database."
"It is very robust for ad hoc DW queries and its columnar compression is unique and valuable."
"The primary benefit of SAP IQ is its ability to limit the expansion of the costly SAP HANA database, which has limited storage capacity. This necessitates a form of data management that involves moving data from SAP HANA to SAP NLS, which is essentially archiving. This allows us to retain access to the data via a link whenever it is required."
"The initial setup is easy."
"Valuable features for us include the compression, speed, fast response time, and easy object maintenance."
"It's a scalable solution because you can analyze a huge amount of data in the solution."
"The most valuable feature of Snowflake Analytics is its performance."
"The computational power of Snowflake is very good."
"The performance has been good."
"What we found most valuable in Snowflake Analytics are its attributes that are very convenient for business use such as data sharing, cloning, time travel, and fail-safe. It's a good product all in all."
"Considering everything I have accessed, the product's dashboard is good since it provides multiple good options, including customization options."
"Deployment is straightforward as it's a SaaS product. No maintenance required."
"The platform not only provides ease of use but also stands out for its speedy execution, conveying a sense of robustness and reliability that I find appealing."
"There is very little documentation available."
"The solution works best when combined with other SAP solutions. If the environment has other systems other options might be better."
"The room for improvement would be the marketing of the product, because this product is much better than advertised."
"Concurrency and functional error messaging."
"Multiplex is very problematic. There are consistency problems in the metadata, meaning it is possible to lose metadata consistency. You should make sure you have healthy backups."
"The organization who owns the product does not support it well and appears not to be doing significant development for the future."
"The tool gets stuck sometimes."
"I think the universe should be part of the Sybase IQ tool set."
"A room for improvement in Snowflake Analytics is Spark, particularly its connector for Spark. An additional feature I'd like to see in the next release of the solution is built-in analytics."
"The solution’s scalability could be improved."
"The solution's high price can be an area of concern that needs improvement."
"The solution’s interface is good but it could be improved."
"Implementing everything on-premise is challenging because it require proper support from advisors, DBAs, and others."
"The distribution methodology isn't as strong as Bethesda or SAP HANA. It's not as strong as other competitors."
"The UI could be more user-friendly."
"I cannot comment on the product's stability because we are still struggling with its performance."
SAP IQ is ranked 21st in Relational Databases Tools with 19 reviews while Snowflake Analytics is ranked 6th in Cloud Data Warehouse with 31 reviews. SAP IQ is rated 7.8, while Snowflake Analytics is rated 8.4. The top reviewer of SAP IQ writes "Easy to use, highly stable, but integration could improve". On the other hand, the top reviewer of Snowflake Analytics writes "A scalable tool useful for data lake and data mining processes". SAP IQ is most compared with Snowflake, SQL Server, SAP HANA, SAP BW4HANA and Apache Hadoop, whereas Snowflake Analytics is most compared with Azure Data Factory, Adobe Analytics, Mixpanel, Amplitude and Glassbox. See our SAP IQ vs. Snowflake Analytics report.
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