We performed a comparison between SAP HANA and Spark SQL based on real PeerSpot user reviews.
Find out in this report how the two Hadoop solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."The user interface is very good. You can do any kind of reporting analytics from the platform."
"What I like most are the dashboards and pervasive analytics."
"It is difficult for me to narrow down what the best features are in SAP HANA because they work together to provide the overall functionality of the solution. However, the Fiori application is very good."
"Anyone currently using SAP will be transitioning to HANA."
"The product handles high volumes very well and provides good integration."
"The UX experience is very good."
"The solution is extremely stable. That's the most important aspect of the solution, for our organization. There is no downtime, and the performance is very good."
"Some functions have good performance."
"The performance is one of the most important features. It has an API to process the data in a functional manner."
"The stability was fine. It behaved as expected."
"The speed of getting data."
"Certain data sets that are very large are very difficult to process with Pandas and Python libraries. Spark SQL has helped us a lot with that."
"Spark SQL's efficiency in managing distributed data and its simplicity in expressing complex operations make it an essential part of our data pipeline."
"The solution is easy to understand if you have basic knowledge of SQL commands."
"This solution is useful to leverage within a distributed ecosystem."
"The team members don't have to learn a new language and can implement complex tasks very easily using only SQL."
"I would like more technical documentation. I would like it to be easier to find online help or have a better launch-based service. SAP has a lot of functions, so we need more best practices and more detailed documentation on industry solutions. For example, it would be good to have documentation on why a certain process needs to be set up and which kinds of configurations need to be set up."
"It could be a bit more scalable."
"The solution's development platform should be more flexible and scalable to adapt to other solutions."
"I don't have direct access to SAP, and instead, I need to go through the SAP office in India."
"SAP HANA isn't user-friendly, and it's very hard to train newcomers to use it."
"Technical support should be more customer-friendly."
"What needs improvement in SAP HANA is its automation, in particular, it needs more enhancements in that area."
"Per SAP, you can do both transactional and analytical processes in SAP HANA. Though that's true, the speed is slower when you combine the two functions, so this is what I'd like SAP to improve in SAP HANA. In the next release, I want to see better diagrams in SAP HANA and a more user-friendly interface."
"In the next update, we'd like to see better performance for small points of data. It is possible but there are better tools that are faster and cheaper."
"SparkUI could have more advanced versions of the performance and the queries and all."
"This solution could be improved by adding monitoring and integration for the EMR."
"It takes a bit of time to get used to using this solution versus Pandas as it has a steep learning curve."
"There are many inconsistencies in syntax for the different querying tasks."
"There should be better integration with other solutions."
"In terms of improvement, the only thing that could be enhanced is the stability aspect of Spark SQL."
"Being a new user, I am not able to find out how to partition it correctly. I probably need more information or knowledge. In other database solutions, you can easily optimize all partitions. I haven't found a quicker way to do that in Spark SQL. It would be good if you don't need a partition here, and the system automatically partitions in the best way. They can also provide more educational resources for new users."
SAP HANA is ranked 1st in Embedded Database with 79 reviews while Spark SQL is ranked 4th in Hadoop with 14 reviews. SAP HANA is rated 8.4, while Spark SQL is rated 7.8. The top reviewer of SAP HANA writes "Excellent compatibility between modules and the control". On the other hand, the top reviewer of Spark SQL writes "Offers the flexibility to handle large-scale data processing". SAP HANA is most compared with Oracle Database, SQL Server, MySQL, IBM Db2 Database and Apache Spark, whereas Spark SQL is most compared with Apache Spark, IBM Db2 Big SQL, HPE Ezmeral Data Fabric and Netezza Analytics. See our SAP HANA vs. Spark SQL report.
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