We performed a comparison between SAP IQ, Teradata, and Teradata Cloud Data Warehouse based on real PeerSpot user reviews.
Find out what your peers are saying about Microsoft, Oracle, SAP and others in Relational Databases Tools."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."
"Valuable features for us include the compression, speed, fast response time, and easy object maintenance."
"Columnar storage allows high compression, high load rates and high query performance."
"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."
"Improved performance of ETL procedures, reporting."
"When it comes to integration, tools like Informatica seamlessly connect with Teradata. We ensure the Teradata database is configured correctly in Informatica, including the proper hostname and properties for the load process. We didn't find any major complexity or issues with integration."
"The most valuable features are the large volume of data and the structuring of the data to optimize it and get very optimal data warehouse solutions for customers."
"The solution scales well on the cloud."
"The most valuable feature of Teradata is security. It runs on Unix and Linux platforms which provide better security."
"We really enjoy the FastLoad, TPump, and MultiLoad features."
"The flexibility in design is very good."
"The key advantages are Performance when processing Terabytes of data and scalability."
"The most valuable feature is the ease of running queries."
"The product is reliable."
"The cloud is ten times better than physical hardware; it is more cost-effective and the upgrade process is ten times easier."
"Concurrency and functional error messaging."
"The room for improvement would be the marketing of the product, because this product is much better than advertised."
"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."
"The organization who owns the product does not support it well and appears not to be doing significant development for the future."
"I think the universe should be part of the Sybase IQ tool set."
"An additional feature I would you like to see included in the next release, is that it needs to be more cloud-friendly."
"Needs compatibility with more Big Data platforms."
"I'm not sure about the unstructured data management capabilities. It could be improved."
"The setup is not straightforward."
"Teradata is an expensive tool. Like, if you're already using Microsoft products like Windows, they'll market all their products together. And with the rise of cloud technologies, companies will adopt solutions that offer them some privileges or facilities. Similar to how SAP does it in the market, so do Microsoft and other companies. Even Oracle and other such tools are quite commonly seen compared to Teradata's competitors in everyday solutions."
"Teradata needs to pay attention to the cloud-based solution to make sure it runs smoothly."
"The capability to implement it with comparable performance across various private cloud environments, ensuring adaptability to different infrastructure setups would be beneficial."
"The solution could improve by having a cloud version or a cloud component. We have to use other solutions, such as Amazon AWS, Microsoft Azure, or Snowflake for the cloud."
"It could be a bit more user-friendly."
"The cost of Teradata Cloud Data Warehouse has room for improvement."
"Stability-wise, we have had some issues with automation and the ability to handle large datasets."
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