We performed a comparison between Oracle Exadata 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."What I like best about Oracle Exadata is its good performance. It's also a very fast solution."
"The new Exadata x9m has an even higher speed of 100GBps connectivity."
"The performance on the databases is good."
"The most valuable feature is that you have the same familiar environment of an Oracle database but with the additional performance you get from this architecture."
"It is the best solution for OLTP and data warehousing."
"The most valuable feature is the time to solution."
"The tool's performance is good."
"Complete management occurs from one single address instead of different servers."
"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."
"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 column-based technologies (basically all the database for ITP) are used for SAP IQ. It is used as a column-based solution."
"We had issues with system restoration."
"Tech support sometimes takes some time to identify and rectify issues."
"I liked Spark, but it was discontinued when Exadata L6 came back. I loved it, and I wish they would bring back Spark integration."
"The setup is a little bit complex. We would like to see the installation part get easier."
"The initial setup process is very difficult and extremely complex."
"Oracle Exadata compatibility with the analytics could be better and the OBIEE could improve. Oracle BI to Exadata needs to be improved. Even if the full analytics practice for Oracle should be improved and when compared with other solutions it is weak."
"The technical support is in need of improvement."
"I believe Oracle must improve its procedure to support the clients. The customer Ready Service must provide more use cases and benchmarks of their infrastructure to support client design decisions. Oracle must audit their partners regularly to guarantee they provide quality service even after been passed on partnership examination."
"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."
"Concurrency and functional error messaging."
"The solution works best when combined with other SAP solutions. If the environment has other systems other options might be better."
"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."
Oracle Exadata is ranked 2nd in Data Warehouse with 124 reviews while SAP IQ is ranked 16th in Data Warehouse with 17 reviews. Oracle Exadata is rated 8.4, while SAP IQ is rated 8.0. The top reviewer of Oracle Exadata writes "Offers a variety of valuable features". On the other hand, the top reviewer of SAP IQ writes "Easy to use, highly stable, but integration could improve". Oracle Exadata is most compared with Oracle Database Appliance, Teradata, Oracle Autonomous Data Warehouse, Snowflake and Amazon Redshift, whereas SAP IQ is most compared with Snowflake, SAP HANA, SQL Server, SAP BW4HANA and Apache Hadoop. See our Oracle Exadata vs. SAP IQ report.
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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.