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."It is a stable solution...It is a scalable solution."
"It handles high volumes of data very well."
"It has allowed fast daily loads and analysis of millions of rows of data, which eventually moved to near real-time."
"The most valuable feature of this solution is performance."
"It is a very stable database."
"One of the most important features is the ease of using MS SQL."
"The most valuable feature is the business intelligence (BI) part of it."
"I like Data Warehouse's data integrity features. Data integrity is what databases are made for as opposed to spreadsheets."
"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."
"Valuable features for us include the compression, speed, fast response time, and easy object maintenance."
"The column-based technologies (basically all the database for ITP) are used for SAP IQ. It is used as a column-based solution."
"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."
"Columnar storage allows high compression, high load rates and high query performance."
"The query is slow if we don't optimize it."
"I would like the tool to support different operating systems."
"I would like the ability to do more real-time type updates instead of batch-oriented updates."
"The product does not have all of the features that the native products have."
"The feature updates on the on-premise solution come very slowly, and it would be great if they came faster."
"The reporting for certain types of data needs to be improved."
"I think that the error messages need to be made more specific."
"The only issue with the product is that the process is very slow when we have a huge amount of data."
"The solution works best when combined with other SAP solutions. If the environment has other systems other options might be better."
"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."
"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 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."
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 16th 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, VMware Tanzu Greenplum and Snowflake, whereas SAP IQ is most compared with Snowflake, SAP HANA, SQL Server, SAP BW4HANA and Apache Hadoop. 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.