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 scalability of Apache Hadoop is very good."
"Since both Apache Hadoop and Amazon EC2 are elastic in nature, we can scale and expand on demand for a specific PoC, and scale down when it's done."
"The best thing about this solution is that it is very powerful and very cheap."
"Hadoop File System is compatible with almost all the query engines."
"Data ingestion: It has rapid speed, if Apache Accumulo is used."
"Two valuable features are its scalability and parallel processing. There are jobs that cannot be done unless you have massively parallel processing."
"Most valuable features are HDFS and Kafka: Ingestion of huge volumes and variety of unstructured/semi-structured data is feasible, and it helps us to quickly onboard a new Big Data analytics prospect."
"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."
"The product is easy to learn."
"Unbeatable speed and compression with a colummn-structured relational database."
"The integration with Apache Hadoop with lots of different techniques within your business can be a challenge."
"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 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."
"The solution is very expensive."
"The solution could use a better user interface. It needs a more effective GUI in order to create a better user environment."
"We would like to have more dynamics in merging this machine data with other internal data to make more meaning out of it."
"It would be helpful to have more information on how to best apply this solution to smaller organizations, with less data, and grow the data lake."
"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."
"Concurrency and functional error messaging."
"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 tool gets stuck sometimes."
"The solution works best when combined with other SAP solutions. If the environment has other systems other options might be better."
"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."
"I think the universe should be part of the Sybase IQ tool set."
"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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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.
