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."The features we find most valuable are the machine learning, data learning, and Spark Analytics."
"The solution is scalable."
"It is useful for handling large amounts of data. It is very useful for scientific purposes."
"The scalability has been the most valuable aspect of the solution."
"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."
"The most crucial feature for us is the streaming capability. It serves as a fundamental aspect that allows us to exert control over our operations."
"Provides a lot of good documentation compared to other solutions."
"The tool's most valuable feature is its speed and efficiency. It's much faster than other tools and excels in parallel data processing. Unlike tools like Python or JavaScript, which may struggle with parallel processing, it allows us to handle large volumes of data with more power easily."
"The in-memory database is excellent."
"Using this solution has given us better details for reporting and analytics."
"The product handles high volumes very well and provides good integration."
"In comparison with other DMS solutions, it offers good performance."
"It has a very huge bandwidth and data transfer."
"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."
"The best feature of SAP HANA is column computing. The computing speed of the solution is also very high, so developers can easily develop programs through SAP HANA."
"The data storage requirement is reduced from the original database to the HANA database."
"If you have a Spark session in the background, sometimes it's very hard to kill these sessions because of D allocation."
"It should support more programming languages."
"When you want to extract data from your HDFS and other sources then it is kind of tricky because you have to connect with those sources."
"When you first start using this solution, it is common to run into memory errors when you are dealing with large amounts of data."
"One limitation is that not all machine learning libraries and models support it."
"The setup I worked on was really complex."
"It requires overcoming a significant learning curve due to its robust and feature-rich nature."
"Needs to provide an internal schedule to schedule spark jobs with monitoring capability."
"The bid process needs to be improved."
"I don't have direct access to SAP, and instead, I need to go through the SAP office in India."
"The openness of the system could be more developed. The solution should go into the cloud. The cloud mechanism should be more invested."
"HANA could be improved by adding analytics and development models in the institution."
"SAP HANA is not strong like Oracle when it comes to finance. They are only strong with the logistic business project."
"The product is very demanding on memory requirements."
"FI, or the financial module of SAP, has room for improvement. It has to have some better localization for the Middle East, especially in regards to taxes and the letter of credit cycle. I would like to see better localization from the HCM."
"When we are using SAP HANA we have some difficulty with the customization. We would like to be able to add and make customized menus."
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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