We performed a comparison between Apache Spark and Cloudera Distribution for Hadoop 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 product is useful for analytics."
"The good performance. The nice graphical management console. The long list of ML algorithms."
"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."
"Apache Spark can do large volume interactive data analysis."
"The product’s most valuable feature is the SQL tool. It enables us to create a database and publish it."
"The solution is scalable."
"I feel the streaming is its best feature."
"The most valuable feature of this solution is its capacity for processing large amounts of data."
"Cloudera is a very manageable solution with good support."
"The scalability of Cloudera Distribution for Hadoop is excellent."
"The solution is stable."
"CDH has a wide variety of proprietary tools that we use, like Impala. So from that perspective, it's quite useful as opposed to something open-source. We get a lot of value from Cloudera's proprietary tools."
"The features I find most valuable is that the solution is that it is easy to install and to work with. It starts with the installation and from there on the management is very simple and centralized."
"The solution's most valuable feature is the enterprise data platform."
"The most valuable feature is that I can use CDH for almost all use cases across all industries, including the financial sector, public sector, private retailers, and so on."
"The most valuable feature is Impala, the querying engine, which is very fast."
"The migration of data between different versions could be improved."
"It requires overcoming a significant learning curve due to its robust and feature-rich nature."
"It should support more programming languages."
"The logging for the observability platform could be better."
"Apache Spark's GUI and scalability could be improved."
"At the initial stage, the product provides no container logs to check the activity."
"The solution must improve its performance."
"Stream processing needs to be developed more in Spark. I have used Flink previously. Flink is better than Spark at stream processing."
"The areas of improvement depend on the scale of the project. For banking customers, security features and an essential budget for commercial licenses would be the top priority. Data regulation could be the most crucial for a project with extensive data or an extra use case."
"Cloudera Distribution for Hadoop has a limited feature list and a lot of costs involved."
"Without the big data environment, we cannot store all of this data live. We have billions of records and terabytes of storage to be used. It's not an option actually for us to have a big data environment."
"The dashboard could be improved."
"Cloudera Distribution for Hadoop is not always completely stable in some cases, which can be a concern for big data solutions."
"Currently, we are using many other tools such as Spark and Blade Job to improve the performance."
"The security of this solution could be improved. There should also be a way to basically have a blockchain enabled storage with the HDFS."
"The competitors provide better functionalities."
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Apache Spark is ranked 1st in Hadoop with 60 reviews while Cloudera Distribution for Hadoop is ranked 2nd in Hadoop with 47 reviews. Apache Spark is rated 8.4, while Cloudera Distribution for Hadoop is rated 8.0. 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 Cloudera Distribution for Hadoop writes "Good end-to-end security features and we like that it's cloud independent". Apache Spark is most compared with Spring Boot, AWS Batch, Spark SQL, SAP HANA and AWS Lambda, whereas Cloudera Distribution for Hadoop is most compared with Amazon EMR, HPE Ezmeral Data Fabric, MongoDB, Cassandra and InfluxDB. See our Apache Spark vs. Cloudera Distribution for Hadoop report.
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