We performed a comparison between Hortonworks Data Platform 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."Ambari Web UI: user-friendly."
"The product offers a fairly easy setup process."
"Now, using this solution, it is much cheaper to have all of the data available for searching, not in real-time, but whenever there is a pending request."
"The data platform is pretty neat. The workflow is also really good."
"The Hortonworks solution is so stable. It is working as a production system, without any error, without any downtime. If I have downtime, it is mostly caused by the hardware of the computers."
"Distributed computing, secure containerization, and governance capabilities are the most valuable features."
"Ranger for security; with Ranger we can manager user’s permissions/access controls very easily."
"We use it for data science activities."
"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."
"The stability was fine. It behaved as expected."
"The speed of getting data."
"Offers a variety of methods to design queries and incorporates the regular SQL syntax within tasks."
"Spark SQL's efficiency in managing distributed data and its simplicity in expressing complex operations make it an essential part of our data pipeline."
"One of Spark SQL's most beautiful features is running parallel queries to go through enormous data."
"The performance is one of the most important features. It has an API to process the data in a functional manner."
"I work a lot with banking, IT and communications customers. Hortonworks must improve or must upgrade their services for these sectors."
"Since Cloudera acquired HDP, it's been bundled with CBH and HDP. However, the biggest challenge is cloud storage integration with Azure, GCP, and AWS."
"The cost of the solution is high and there is room for improvement."
"Security and workload management need improvement."
"More information could be there to simplify the process of running the product."
"Hive performance. If Hive performance increased, Hadoop would replace (not everywhere) traditional databases."
"Deleting any service requires a lot of clean up, unlike Cloudera."
"It would also be nice if there were less coding involved."
"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."
"I've experienced some incompatibilities when using the Delta Lake format."
"It would be beneficial for aggregate functions to include a code block or toolbox that explains its calculations or supported conditional statements."
"Anything to improve the GUI would be helpful."
"In terms of improvement, the only thing that could be enhanced is the stability aspect of Spark SQL."
"It would be useful if Spark SQL integrated with some data visualization tools."
"This solution could be improved by adding monitoring and integration for the EMR."
"SparkUI could have more advanced versions of the performance and the queries and all."
Hortonworks Data Platform is ranked 6th in Hadoop with 25 reviews while Spark SQL is ranked 4th in Hadoop with 14 reviews. Hortonworks Data Platform is rated 8.0, while Spark SQL is rated 7.8. The top reviewer of Hortonworks Data Platform writes "Good for secure containerization, and governance capabilities ". On the other hand, the top reviewer of Spark SQL writes "Offers the flexibility to handle large-scale data processing". Hortonworks Data Platform is most compared with Amazon EMR, Apache Spark, Cloudera DataFlow and HPE Ezmeral Data Fabric, whereas Spark SQL is most compared with Apache Spark, IBM Db2 Big SQL, SAP HANA, HPE Ezmeral Data Fabric and Netezza Analytics. See our Hortonworks Data Platform vs. Spark SQL report.
See our list of best Hadoop vendors.
We monitor all Hadoop 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.