We performed a comparison between Apache Hadoop 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."I liked that Apache Hadoop was powerful, had a lot of tools, and the fact that it was free and community-developed."
"The best thing about this solution is that it is very powerful and very cheap."
"It's primarily open source. You can handle huge data volumes and create your own views, workflows, and tables. I can also use it for real-time data streaming."
"Hadoop is designed to be scalable, so I don't think that it has limitations in regards to scalability."
"The tool's stability is good."
"One valuable feature is that we can download data."
"The solution is easy to expand. We haven't seen any issues with it in that sense. We've added 10 servers, and we've added two nodes. We've been expanding since we started using it since we started out so small. Companies that need to scale shouldn't have a problem doing so."
"What comes with the standard setup is what we mostly use, but Ambari is the most important."
"The column-based technologies (basically all the database for ITP) are used for SAP IQ. It is used as a column-based solution."
"The initial setup is easy."
"Valuable features for us include the compression, speed, fast response time, and easy object maintenance."
"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 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."
"Unbeatable speed and compression with a colummn-structured relational database."
"The product is easy to learn."
"In the next release, I would like to see Hive more responsive for smaller queries and to reduce the latency."
"Real-time data processing is weak. This solution is very difficult to run and implement."
"The price could be better. I think we would use it more, but the company didn't want to pay for it. Hortonworks doesn't exist anymore, and Cloudera killed the free version of Hadoop."
"I mentioned it definitely, and this is probably the only feature we can improve a little bit because the terminal and coding screen on Hadoop is a little outdated, and it looks like the old C++ bio screen. If the UI and UX can be improved slightly, I believe it will go a long way toward increasing adoption and effectiveness."
"The solution is not easy to use. The solution should be easy to use and suitable for almost any case connected with the use of big data or working with large amounts of data."
"Since it is an open-source product, there won't be much support."
"Hadoop's security could be better."
"Based on our needs, we would like to see a tool for data visualization and enhanced Ambari for management, plus a pre-built IoT hub/model. These would reduce our efforts and the time needed to prove to a customer that this will help them."
"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."
"There is very little documentation available."
"The room for improvement would be the marketing of the product, because this product is much better than advertised."
"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."
"The tool gets stuck sometimes."
Apache Hadoop is ranked 5th in Data Warehouse with 34 reviews while SAP IQ is ranked 17th in Data Warehouse with 19 reviews. Apache Hadoop is rated 7.8, while SAP IQ is rated 7.8. The top reviewer of Apache Hadoop writes "Handles huge data volumes and create your own workflows and tables but you need to have deeper knowledge". On the other hand, the top reviewer of SAP IQ writes "Easy to use, highly stable, but integration could improve". Apache Hadoop is most compared with Azure Data Factory, Microsoft Azure Synapse Analytics, Oracle Exadata, Snowflake and SAP BW4HANA, whereas SAP IQ is most compared with Snowflake, SAP HANA, SQL Server, SAP BW4HANA and SAP Adaptive Server Enterprise. See our Apache Hadoop 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.
