We performed a comparison between Apache Spark and SAP HANA 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."I appreciate everything about the solution, not just one or two specific features. The solution is highly stable. I rate it a perfect ten. The solution is highly scalable. I rate it a perfect ten. The initial setup was straightforward. I recommend using the solution. Overall, I rate the solution a perfect ten."
"One of Apache Spark's most valuable features is that it supports in-memory processing, the execution of jobs compared to traditional tools is very fast."
"DataFrame: Spark SQL gives the leverage to create applications more easily and with less coding effort."
"The solution is scalable."
"The most valuable feature is the Fault Tolerance and easy binding with other processes like Machine Learning, graph analytics."
"The most valuable feature of Apache Spark is its flexibility."
"Its scalability and speed are very valuable. You can scale it a lot. It is a great technology for big data. It is definitely better than a lot of earlier warehouse or pipeline solutions, such as Informatica. Spark SQL is very compliant with normal SQL that we have been using over the years. This makes it easy to code in Spark. It is just like using normal SQL. You can use the APIs of Spark or you can directly write SQL code and run it. This is something that I feel is useful in Spark."
"It's easy to prepare parallelism in Spark, run the solution with specific parameters, and get good performance."
"It is very flexible to integrate with SaaS components."
"SAP HANA is one of the best databases known for its performance...The new version of the solution is stable."
"As I only worked part-time on SAP HANA, I did not have the opportunity to explore the advanced features of the solution. However, I did work with basic features, such as user administration and access controls for the accounting department. The feature that stood out to me the most was the Single Sign-On and user administration, backup, and server management. My experience with SAP HANA was mainly focused on basic server improvements."
"It's easy to use, and the Hana Studio is pretty good."
"I like the integration process. Also, the data is trusted by our management, and we use the data from transactions for analysis."
"In comparison with other DMS solutions, it offers good performance."
"We are using the solution for the DW system. The primary function of the solution is for the database in memory."
"The in-memory database is excellent."
"We've had problems using a Python process to try to access something in a large volume of data. It crashes if somebody gives me the wrong code because it cannot handle a large volume of data."
"The solution needs to optimize shuffling between workers."
"This solution currently cannot support or distribute neural network related models, or deep learning related algorithms. We would like this functionality to be developed."
"It's not easy to install."
"Spark could be improved by adding support for other open-source storage layers than Delta Lake."
"They could improve the issues related to programming language for the platform."
"Needs to provide an internal schedule to schedule spark jobs with monitoring capability."
"The product could improve the user interface and make it easier for new users."
"This is an expensive solution."
"I think that the pricing is high and it needs improvement."
"I would like to see improvements in the connectivity of the solution with other BI software. Not every software can connect to it natively."
"The bid process needs to be improved."
"In a future release, SAP HANA should add a module for taxation, such as income tax and withholding tax."
"While new users to this solution have the benefit of the new design, existing ERP users may experience issues with migrating legacy data. We would like to see development of ready-made tools that allow for easy mapping when upgrading."
"The challenge right now is all databases are on S4 HANA architecture. You're running it for HANA, but not all the functionalities are available. If they can speed up getting all the databases on S4 HANA that would help."
"Technical support should be more customer-friendly."
Apache Spark is ranked 1st in Hadoop with 60 reviews while SAP HANA is ranked 1st in Embedded Database with 81 reviews. Apache Spark is rated 8.4, while SAP HANA is rated 8.4. The top reviewer of Apache Spark writes "Reliable, able to expand, and handle large amounts of data well". On the other hand, the top reviewer of SAP HANA writes "Excellent compatibility between modules and the control". Apache Spark is most compared with Spring Boot, AWS Batch, Spark SQL, Cloudera Distribution for Hadoop and Azure Stream Analytics, whereas SAP HANA is most compared with Oracle Database, SQL Server, MySQL, IBM Db2 Database and SAP Adaptive Server Enterprise. See our Apache Spark vs. SAP HANA report.
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