We performed a comparison between SAP IQ and Vertica 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."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."
"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."
"Any novice user can tune vertical queries with minimal training (or no training at all)."
"The solution is quick, has good compression data, and is not expensive."
"The performance is very good and the aggregate records are fast."
"It maximize cloud economics for mission-critical big data analytical initiatives."
"Its projections and encoding are excellent tools for tuning large volumes."
"It's the fastest database I have ever tested. That's the most important feature of Vertica."
"I enjoy the cybersecurity and backup features."
"Partition and join back to node are easy and simple for DBAs."
"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 solution works best when combined with other SAP solutions. If the environment has other systems other options might be better."
"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 room for improvement would be the marketing of the product, because this product is much better than advertised."
"Whatever's out, the core is not always as great as the engine, especially their first version."
"We are looking for a cheaper deployment for the solution. Although we did a lot of benchmarks, like Redshift. We tried Redshift, it didn't work. It didn't work out for us as well."
"Performance of management of metadata layer (database catalog) needs improvement. We still have to have smaller customers on PostgreSQL; Vertica cannot manage thousands of schemata."
"Vertica can improve automation and documentation. Additionally, the solution can be simplified."
"Support is an area where it could get better."
"I have found that coding support could be simplified."
"Monitoring tools need to be lightweight. They should not take up heavy resources of the main server."
"When it is about to reach the maximum storage capacity, it becomes slow."
SAP IQ is ranked 16th in Data Warehouse with 17 reviews while Vertica is ranked 4th in Data Warehouse with 83 reviews. SAP IQ is rated 8.0, while Vertica is rated 8.2. The top reviewer of SAP IQ writes "Easy to use, highly stable, but integration could improve". On the other hand, the top reviewer of Vertica writes " A user-friendly tool that needs to improve its documentation part". SAP IQ is most compared with Snowflake, SAP HANA, SAP BW4HANA and SQL Server, whereas Vertica is most compared with Snowflake, SQL Server, Amazon Redshift, Teradata and Oracle Exadata. See our SAP IQ vs. Vertica 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.
