We performed a comparison between Apache Spark and Netezza Analytics based on real PeerSpot user reviews.
Find out what your peers are saying about Apache, Cloudera, Amazon Web Services (AWS) and others in Hadoop."This solution provides a clear and convenient syntax for our analytical tasks."
"It is useful for handling large amounts of data. It is very useful for scientific purposes."
"I feel the streaming is its best feature."
"The product's deployment phase is easy."
"The product’s most valuable features are lazy evaluation and workload distribution."
"The processing time is very much improved over the data warehouse solution that we were using."
"ETL and streaming capabilities."
"Spark helps us reduce startup time for our customers and gives a very high ROI in the medium term."
"Data compression. It was relatively impressive. I think at some point we were getting 4:1 compression if not more."
"The need for administration involvement is quite limited on the solution."
"The performance of the solution is its most valuable feature. The solution is easy to administer as well. It's very user-friendly. On the technical side, the architecture is simple to understand and you don't need too many administrators to handle the solution."
"The most valuable feature is the performance."
"For me, as an end-user, everything that I do on the solution is simple, clear, and understandable."
"It is a back end for our SSIS, MicroStrategy,, Tableau. All of these are connecting to get the data. To do so we are also using our analytics which is built on the data."
"Speed contributes to large capacity."
"The product could improve the user interface and make it easier for new users."
"They could improve the issues related to programming language for the platform."
"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."
"Apache Spark could improve the connectors that it supports. There are a lot of open-source databases in the market. For example, cloud databases, such as Redshift, Snowflake, and Synapse. Apache Spark should have connectors present to connect to these databases. There are a lot of workarounds required to connect to those databases, but it should have inbuilt connectors."
"It needs a new interface and a better way to get some data. In terms of writing our scripts, some processes could be faster."
"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."
"Its UI can be better. Maintaining the history server is a little cumbersome, and it should be improved. I had issues while looking at the historical tags, which sometimes created problems. You have to separately create a history server and run it. Such things can be made easier. Instead of separately installing the history server, it can be made a part of the whole setup so that whenever you set it up, it becomes available."
"When you are working with large, complex tasks, the garbage collection process is slow and affects performance."
"Administration of this product is too tough. It's very complex because of the tools which it's missing."
"I'm not sure of IBM's roadmap currently, as the solution is coming up on its end of life."
"The solution could implement more reporting tools and networking utilities."
"The most valuable features of this solution are robustness and support."
"The hardware has a risk of failure. They need to improve this."
"Disaster recovery support. Because it was an appliance, and if you wanted to support disaster recovery, you needed to buy two."
"In-DB processing with SAS Analytics, since this is supposed to be an analytics server so the expectation is there."
"This product is being discontinued from IBM, and I would like to have some kind of upgrade available."
Apache Spark is ranked 1st in Hadoop with 60 reviews while Netezza Analytics is ranked 11th in Hadoop. Apache Spark is rated 8.4, while Netezza Analytics is rated 7.4. 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 Netezza Analytics writes "ARULES() function is the fastest implementation of the associations algorithm (a priori or tree) I have worked with". Apache Spark is most compared with Spring Boot, AWS Batch, Spark SQL, SAP HANA and Cloudera Distribution for Hadoop, whereas Netezza Analytics is most compared with Spark SQL and HPE Ezmeral Data Fabric.
See our list of best Hadoop vendors.
We monitor all Hadoop 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.
