We performed a comparison between HPE Ezmeral Data Fabric 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."HPE Ezmeral Data Fabric can be accessed from any namespace globally as you would access it from a machine using an NFS."
"It is a stable solution...It is a scalable solution."
"The model creation was very interesting, especially with the libraries provided by the platform."
"My customers find the product cheaper compared to other solutions. The previous solution that we used did not have unified analytics like the runtime or the analog."
"I like the administration part."
"The solution is easy to understand if you have basic knowledge of SQL commands."
"The team members don't have to learn a new language and can implement complex tasks very easily using only SQL."
"The speed of getting data."
"Data validation and ease of use are the most valuable features."
"Offers a variety of methods to design queries and incorporates the regular SQL syntax within tasks."
"The performance is one of the most important features. It has an API to process the data in a functional manner."
"I find the Thrift connection valuable."
"It is a stable solution."
"Upgrading Ezmeral to a new version is a pain. They're trying to make the solution more container-friendly, so I think they're going in the right direction. The only problem we've had in the past was the upgrades. The process isn't smooth due to how the Red Hat operating system upgrades currently work."
"The product is not user-friendly."
"HPE Ezmeral Data Fabric is not compatible with third-party tools."
"Having the ability to extend the services provided by the platform to an API architecture, a micro-services architecture, could be very helpful."
"The deployment could be faster. I want more support for the data lake in the next release."
"I've experienced some incompatibilities when using the Delta Lake format."
"The solution needs to include graphing capabilities. Including financial charts would help improve everything overall."
"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."
"In the next release, maybe the visualization of some command-line features could be added."
"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."
"SparkUI could have more advanced versions of the performance and the queries and all."
"It takes a bit of time to get used to using this solution versus Pandas as it has a steep learning curve."
HPE Ezmeral Data Fabric is ranked 5th in Hadoop with 12 reviews while Spark SQL is ranked 4th in Hadoop with 14 reviews. HPE Ezmeral Data Fabric is rated 8.0, while Spark SQL is rated 7.8. The top reviewer of HPE Ezmeral Data Fabric writes "It's flexible and easily accessible across multiple locations, but the upgrade process is complicated". On the other hand, the top reviewer of Spark SQL writes "Offers the flexibility to handle large-scale data processing". HPE Ezmeral Data Fabric is most compared with Cloudera Distribution for Hadoop, Amazon EMR, IBM Spectrum Computing, MongoDB and Hortonworks Data Platform, whereas Spark SQL is most compared with Apache Spark, IBM Db2 Big SQL, SAP HANA and Netezza Analytics. See our HPE Ezmeral Data Fabric vs. Spark SQL report.
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