We performed a comparison between Microsoft Azure Synapse Analytics 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."Scaling this solution is easy and the uptime is okay."
"It's feature-rich. It has a wide range of features."
"The MPP (Massively Parallel Processing) architecture helps to make things a lot faster."
"I like its performance. It is well-structured and offers a lot of practical options. Because of the visual design of the product, it is very easy to find icons and other visual elements. It took me more than two weeks to understand how it works. I had an intensive training session to understand it, which was enough. It was not hard to understand how it works."
"They are available on the Cloud, and the platform is very intuitive."
"Overall deployment and integration is pretty fast."
"The most valuable features of Microsoft Azure Synapse Analytics are the interface and the agility of the on-cloud platform."
"The most valuable feature is the scalability."
"The column-based technologies (basically all the database for ITP) are used for SAP IQ. It is used as a column-based solution."
"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."
"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."
"Columnar storage allows high compression, high load rates and high query performance."
"Microsoft should develop an interface to make it easier to shift from on-premise to the cloud."
"The product could be more feature-rich."
"There may be some challenges in terms of connecting with Virtual Networks (VNETs) to Microsoft Azure Synapse Analytics."
"It's a complicated product."
"I would like to see better integration with Active Directory, because we have had problems, and we still do."
"The performance and data consistency need to be improved."
"Integration with other products is an area that can be improved."
"The cost of the solution has room for improvement."
"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."
"The organization who owns the product does not support it well and appears not to be doing significant development for the future."
"The solution works best when combined with other SAP solutions. If the environment has other systems other options might be better."
"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."
More Microsoft Azure Synapse Analytics Pricing and Cost Advice →
Microsoft Azure Synapse Analytics is ranked 2nd in Cloud Data Warehouse with 85 reviews while SAP IQ is ranked 15th in Data Warehouse with 17 reviews. Microsoft Azure Synapse Analytics is rated 8.0, while SAP IQ is rated 8.0. The top reviewer of Microsoft Azure Synapse Analytics writes "No competitors provide the entire solution to one place ". On the other hand, the top reviewer of SAP IQ writes "Easy to use, highly stable, but integration could improve". Microsoft Azure Synapse Analytics is most compared with Azure Data Factory, Snowflake, SAP BW4HANA, Amazon Redshift and Teradata, whereas SAP IQ is most compared with Snowflake, SQL Server, SAP HANA, Apache Hadoop and SAP BW4HANA. See our Microsoft Azure Synapse Analytics vs. SAP IQ report.
See our list of best Data Warehouse vendors and best Cloud 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.