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."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."
"The most valuable feature is the database."
"The most valuable feature is scalability and the possibility to work with major information and open source capability."
"The tool's stability is good."
"What comes with the standard setup is what we mostly use, but Ambari is the most important."
"Data ingestion: It has rapid speed, if Apache Accumulo is used."
"We selected Apache Hadoop because it is not dependent on third-party vendors."
"High throughput and low latency. We start with data mashing on Hive and finally use this for KPI visualization."
"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."
"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 product is easy to learn."
"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 initial setup is easy."
"Unbeatable speed and compression with a colummn-structured relational database."
"I think more of the solution needs to be focused around the panel processing and retrieval of data."
"General installation/dependency issues were there, but were not a major, complex issue. While migrating data from MySQL to Hive, things are a little challenging, but we were able to get through that with support from forums and a little trial and error."
"Real-time data processing is weak. This solution is very difficult to run and implement."
"The stability of the solution needs improvement."
"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."
"The solution could use a better user interface. It needs a more effective GUI in order to create a better user environment."
"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."
"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."
"The tool gets stuck sometimes."
"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 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."
"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 room for improvement would be the marketing of the product, because this product is much better than advertised."
"There is very little documentation available."
Apache Hadoop is ranked 6th 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 AWS Lake Formation, whereas SAP IQ is most compared with Snowflake, SQL Server, SAP HANA, SAP BW4HANA and SAP Adaptive Server Enterprise. See our Apache Hadoop vs. SAP IQ report.
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