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."Hadoop File System is compatible with almost all the query engines."
"The performance is pretty good."
"What I like about Apache Hadoop is that it's for big data, in particular big data analysis, and it's the easier solution. I like the data processing feature for AI/ML use cases the most because some solutions allow me to collect data from relational databases, while Hadoop provides me with more options for newer technologies."
"Hadoop is extensible — it's elastic."
"Apache Hadoop can manage large amounts and volumes of data with relative ease, which is a feature that is beneficial."
"What comes with the standard setup is what we mostly use, but Ambari is the most important."
"The most valuable features are powerful tools for ingestion, as data is in multiple systems."
"The scalability of Apache Hadoop is very good."
"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."
"It is very robust for ad hoc DW queries and its columnar compression is unique and valuable."
"The column-based technologies (basically all the database for ITP) are used for SAP IQ. It is used as a column-based solution."
"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 would be good to have more advanced analytics tools."
"The solution could use a better user interface. It needs a more effective GUI in order to create a better user environment."
"The stability of the solution needs improvement."
"The integration with Apache Hadoop with lots of different techniques within your business can be a challenge."
"The upgrade path should be improved because it is not as easy as it should be."
"In the next release, I would like to see Hive more responsive for smaller queries and to reduce the latency."
"The key shortcoming is its inability to handle queries when there is insufficient memory. This limitation can be bypassed by processing the data in chunks."
"The main thing is the lack of community support. If you want to implement a new API or create a new file system, you won't find easy support."
"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."
"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."
"Concurrency and functional error messaging."
"I think the universe should be part of the Sybase IQ tool set."
Apache Hadoop is ranked 5th in Data Warehouse with 32 reviews while SAP IQ is ranked 16th in Data Warehouse with 17 reviews. Apache Hadoop is rated 7.8, while SAP IQ is rated 8.0. The top reviewer of Apache Hadoop writes "A file system for data collection that contains needed information and files". 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 Teradata, 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.
