We performed a comparison between Microsoft Parallel Data Warehouse and SAP IQ based on real PeerSpot user reviews.
Find out in this report how the two Data Warehouse solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."One of the most important features is the ease of using MS SQL."
"It is a stable solution...It is a scalable solution."
"The most valuable features are the performance and usability."
"I am very satisfied with the customer service/technical support."
"The UI is very simple and functional for my clients, most of the clients that use the solution are not experts."
"The most valuable feature of this solution is performance."
"The most valuable feature for me is querying."
"The data transmissions between the data models is the most valuable feature."
"Columnar storage allows high compression, high load rates and high query performance."
"Unbeatable speed and compression with a colummn-structured relational database."
"The column-based technologies (basically all the database for ITP) are used for SAP IQ. It is used as a column-based solution."
"It is very robust for ad hoc DW queries and its columnar compression is unique and valuable."
"Valuable features for us include the compression, speed, fast response time, and easy object maintenance."
"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 query is slow if we don't optimize it."
"Some compatibility issues occur during deployment, so we need to build the product from scratch for some features."
"I would like the ability to do more real-time type updates instead of batch-oriented updates."
"I think that the error messages need to be made more specific."
"Sometimes, the product requires rolling back to its previous version during a software update. This particular area could be enhanced."
"In the future I would love to see a slightly better automation engine, just for the data integration layer, to make it slightly easier for end-users or junior developers to get involved in incremental updating."
"The only issue with the product is that the process is very slow when we have a huge amount of data."
"If the database is large with a lot of columns then it is difficult to clean the data."
"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 organization who owns the product does not support it well and appears not to be doing significant development for the future."
"Concurrency and functional error messaging."
"The room for improvement would be the marketing of the product, because this product is much better than advertised."
"The solution works best when combined with other SAP solutions. If the environment has other systems other options might be better."
More Microsoft Parallel Data Warehouse Pricing and Cost Advice →
Microsoft Parallel Data Warehouse is ranked 8th in Data Warehouse with 32 reviews while SAP IQ is ranked 15th in Data Warehouse with 17 reviews. Microsoft Parallel Data Warehouse is rated 7.6, while SAP IQ is rated 8.0. The top reviewer of Microsoft Parallel Data Warehouse writes "An easy to setup tool that allows its users to write stored procedure, making it a scalable product". On the other hand, the top reviewer of SAP IQ writes "Easy to use, highly stable, but integration could improve". Microsoft Parallel Data Warehouse is most compared with Microsoft Azure Synapse Analytics, Oracle Exadata, SAP BW4HANA, Snowflake and VMware Tanzu Greenplum, whereas SAP IQ is most compared with Snowflake, SQL Server, SAP HANA, Apache Hadoop and SAP BW4HANA. See our Microsoft Parallel Data Warehouse vs. SAP IQ report.
See our list of best Data Warehouse vendors.
We monitor all 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.