We performed a comparison between Apache Spark, IBM Spectrum Computing, and SaltStack based on real PeerSpot user reviews.
Find out what your peers are saying about Apache, Cloudera, Amazon Web Services (AWS) and others in Hadoop."Features include machine learning, real time streaming, and data processing."
"We use it for ETL purposes as well as for implementing the full transformation pipelines."
"It's easy to prepare parallelism in Spark, run the solution with specific parameters, and get good performance."
"ETL and streaming capabilities."
"The most valuable feature of Apache Spark is its memory processing because it processes data over RAM rather than disk, which is much more efficient and fast."
"There's a lot of functionality."
"Spark can handle small to huge data and is suitable for any size of company."
"AI libraries are the most valuable. They provide extensibility and usability. Spark has a lot of connectors, which is a very important and useful feature for AI. You need to connect a lot of points for AI, and you have to get data from those systems. Connectors are very wide in Spark. With a Spark cluster, you can get fast results, especially for AI."
"Spectrum Computing's best features are its speed, robustness, and data processing and analysis."
"The most valuable feature is the backup capability."
"We are satisfied with the technical support, we have no issues."
"This solution is working for both VTL and tape."
"Easy to operate and use."
"The most valuable aspect of the product is the policy driving resource management, to optimize the computing across data centers."
"SaltStack has given us the ability to deal with systems at scale and rectify issues at scale."
"I want to build automation that is intelligent, part of the fabric of our environment, and is somewhat self-sustaining. I think SaltStack can help me do this."
"It is a highly stable solution."
"The ability to programmatically describe the desired state of a single, or an entire fleet of servers, on-premises, and in a cloud environment."
"The automation functionality has been most valuable. With a click of a button, we are able to automate provisioning, the build of new hardware and apply patches. These are all extremely important and differentiated tasks that can be automated in SaltStack."
"We monitor the configurations against CIS standards. We run CIS benchmarks and maintain configurations with higher CIS values for each server."
"The product’s most valuable feature is its ability to provide environmental security."
"We are building our own queries on Spark, and it can be improved in terms of query handling."
"Spark could be improved by adding support for other open-source storage layers than Delta Lake."
"At times during the deployment process, the tool goes down, making it look less robust. To take care of the issues in the deployment process, users need to do manual interventions occasionally."
"The setup I worked on was really complex."
"One limitation is that not all machine learning libraries and models support it."
"Stability in terms of API (things were difficult, when transitioning from RDD to DataFrames, then to DataSet)."
"I would like to see integration with data science platforms to optimize the processing capability for these tasks."
"The product could improve the user interface and make it easier for new users."
"Spectrum Computing is lagging behind other products, most likely because it hasn't been shifted to the cloud."
"We have not been able to use deduplication."
"Lack of sufficient documentation, particularly in Spanish."
"We'd like to see some AI model training for machine learning."
"This solution is no longer managing tapes correctly."
"SMB storage and HPC is not compatible and it should be supported by IBM Spectrum Computing."
"It is difficult to set up."
"There is a little bit of pain when it comes to libraries and what is needed to run the product."
"A hardened set of tests would be much appreciated."
"SaltStack's features are minimal."
"Its configuration process could be better."
"Web UI."
"This solution could be integrated with more hardware for an improved offering."
