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 is extensible — it's elastic."
"The performance is pretty good."
"Hadoop File System is compatible with almost all the query engines."
"The ability to add multiple nodes without any restriction is the solution's most valuable aspect."
"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."
"Initially, with RDBMS alone, we had a lot of work and few servers running on-premise and on cloud for the PoC and incubation. With the use of Hadoop and ecosystem components and tools, and managing it in Amazon EC2, we have created a Big Data "lab" which helps us to centralize all our work and solutions into a single repository. This has cut down the time in terms of maintenance, development and, especially, data processing challenges."
"The tool's stability is good."
"The column-based technologies (basically all the database for ITP) are used for SAP IQ. It is used as a column-based solution."
"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 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."
"Unbeatable speed and compression with a colummn-structured relational database."
"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is probably the only feature we can improve a little bit because the terminal and coding screen on Hadoop is a little outdated, and it looks like the old C++ bio screen.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 needs a better tutorial. There are only documents available currently. There's a lot of YouTube videos available. However, in terms of learning, we didn't have great success trying to learn that way. There needs to be better self-paced learning."
"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 upgrade path should be improved because it is not as easy as it should be."
"The stability of the solution needs improvement."
"We would like to have more dynamics in merging this machine data with other internal data to make more meaning out of it."
"From the Apache perspective or the open-source community, they need to add more capabilities to make life easier from a configuration and deployment perspective."
"The solution could use a better user interface. It needs a more effective GUI in order to create a better user environment."
"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."
"I think the universe should be part of the Sybase IQ tool set."
"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."
"The solution works best when combined with other SAP solutions. If the environment has other systems other options might be better."
Apache Hadoop is ranked 5th in Data Warehouse with 33 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 "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 and Snowflake, whereas SAP IQ is most compared with Snowflake, SAP HANA, SAP BW4HANA, SQL Server and SAP Adaptive Server Enterprise. See our Apache Hadoop vs. SAP IQ report.
See our list of best Data Warehouse vendors.
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