We performed a comparison between Apache Spark and Spot Ocean based on real PeerSpot user reviews.
Find out what your peers are saying about Amazon Web Services (AWS), Apache, Zadara and others in Compute Service."The memory processing engine is the solution's most valuable aspect. It processes everything extremely fast, and it's in the cluster itself. It acts as a memory engine and is very effective in processing data correctly."
"The good performance. The nice graphical management console. The long list of ML algorithms."
"The fault tolerant feature is provided."
"There's a lot of functionality."
"I found the solution stable. We haven't had any problems with it."
"I feel the streaming is its best feature."
"It's easy to prepare parallelism in Spark, run the solution with specific parameters, and get good performance."
"The solution has been very stable."
"The solution helps us to manage and scale automatically whenever there is a limit to the increase in the application workflow."
"The migration of data between different versions could be improved."
"When you are working with large, complex tasks, the garbage collection process is slow and affects performance."
"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."
"The management tools could use improvement. Some of the debugging tools need some work as well. They need to be more descriptive."
"If you have a Spark session in the background, sometimes it's very hard to kill these sessions because of D allocation."
"The solution’s integration with other platforms should be improved."
"We are building our own queries on Spark, and it can be improved in terms of query handling."
"It requires overcoming a significant learning curve due to its robust and feature-rich nature."
"The solution doesn't have support from OCI, and it should start working to onboard OCI."
Apache Spark is ranked 5th in Compute Service with 60 reviews while Spot Ocean is ranked 11th in Compute Service with 1 review. Apache Spark is rated 8.4, while Spot Ocean is rated 7.0. 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 Spot Ocean writes "Used to manage Kubernetes infrastructure, but it doesn't have support from OCI". Apache Spark is most compared with Spring Boot, AWS Batch, Spark SQL, SAP HANA and Cloudera Distribution for Hadoop, whereas Spot Ocean is most compared with Spot Elastigroup and Spot Eco.
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We monitor all Compute Service 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.
