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."Spark can handle small to huge data and is suitable for any size of company."
"The most valuable feature of this solution is its capacity for processing large amounts of data."
"It is useful for handling large amounts of data. It is very useful for scientific purposes."
"The product’s most valuable feature is the SQL tool. It enables us to create a database and publish it."
"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 scalability has been the most valuable aspect of the solution."
"The processing time is very much improved over the data warehouse solution that we were using."
"The solution is very stable."
"The solution helps us to manage and scale automatically whenever there is a limit to the increase in the application workflow."
"If you have a Spark session in the background, sometimes it's very hard to kill these sessions because of D allocation."
"Include more machine learning algorithms and the ability to handle streaming of data versus micro batch processing."
"Apache Spark could potentially improve in terms of user-friendliness, particularly for individuals with a SQL background. While it's suitable for those with programming knowledge, making it more accessible to those without extensive programming skills could be beneficial."
"Technical expertise from an engineer is required to deploy and run high-tech tools, like Informatica, on Apache Spark, making it an area where improvements are required to make the process easier for users."
"At the initial stage, the product provides no container logs to check the activity."
"I know there is always discussion about which language to write applications in and some people do love Scala. However, I don't like it."
"The solution needs to optimize shuffling between workers."
"We are building our own queries on Spark, and it can be improved in terms of query handling."
"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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