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 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."
"Columnar storage allows high compression, high load rates and high query performance."
"It is very robust for ad hoc DW queries and its columnar compression is unique and valuable."
"Unbeatable speed and compression with a colummn-structured relational database."
"Valuable features for us include the compression, speed, fast response time, and easy object maintenance."
"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."
"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."
"I am impressed with the product's data-sharing feature."
"The solution auto-scales and it provides concurrency."
"It is quite a convenient tool."
"The advanced features like time travel, zero copy cloning and scalability have been most useful. Snowflake requires zero maintenance for Data Warehousing on the cloud system."
"One of the key advancements in Snowflake Analytics is data sharing."
"The most valuable feature of Snowflake Analytics is its performance."
"Concurrency and functional error messaging."
"The organization who owns the product does not support it well and appears not to be doing significant development for the future."
"The room for improvement would be the marketing of the product, because this product is much better than advertised."
"I think the universe should be part of the Sybase IQ tool set."
"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 solution works best when combined with other SAP solutions. If the environment has other systems other options might be better."
"Snowflake's Snowpark is an area of concern where improvements are required."
"The solution’s scalability could be improved."
"The technical support is not very good."
"The platform could work easier for AI implementation compared to one of its competitors."
"The distribution methodology isn't as strong as Bethesda or SAP HANA. It's not as strong as other competitors."
"The scheduling of jobs requires improvement, particularly in terms of the user interface which currently lacks certain features found in comparable platforms."
"Moving data from legacy systems to Snowflake is not that easy. There are some cases where processors are not actually compatible with Snowflake."
"The solution needs to consider including some updates in the future."
SAP IQ is ranked 21st in Relational Databases Tools with 17 reviews while Snowflake Analytics is ranked 6th in Cloud Data Warehouse with 30 reviews. SAP IQ is rated 8.0, 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, SAP HANA, SAP BW4HANA, SQL Server 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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We monitor all Cloud Data Warehouse reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.
