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."High throughput and low latency. We start with data mashing on Hive and finally use this for KPI visualization."
"The most valuable features are powerful tools for ingestion, as data is in multiple systems."
"The most valuable features are the ability to process the machine data at a high speed, and to add structure to our data so that we can generate relevant analytics."
"Its integration is Hadoop's best feature because that allows us to support different tools in a big data platform."
"We selected Apache Hadoop because it is not dependent on third-party vendors."
"It's good for storing historical data and handling analytics on a huge amount of data."
"The tool's stability is good."
"I liked that Apache Hadoop was powerful, had a lot of tools, and the fact that it was free and community-developed."
"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."
"Unbeatable speed and compression with a colummn-structured relational database."
"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."
"Columnar storage allows high compression, high load rates and high query performance."
"The load optimization capabilities of the product are an area of concern where improvements are required."
"In certain cases, the configurations for dealing with data skewness do not make any sense."
"In the next release, I would like to see Hive more responsive for smaller queries and to reduce the latency."
"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."
"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."
"It needs better user interface (UI) functionalities."
"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."
"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."
"I think the universe should be part of the Sybase IQ tool set."
"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."
"The room for improvement would be the marketing of the product, because this product is much better than advertised."
"Concurrency and functional error messaging."
"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."
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.
See our list of best Data Warehouse vendors.
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.
