We performed a comparison between Apache Spark and Pentaho Business 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."ETL and streaming capabilities."
"Provides a lot of good documentation compared to other solutions."
"The most valuable feature is the Fault Tolerance and easy binding with other processes like Machine Learning, graph analytics."
"With Spark, we parallelize our operations, efficiently accessing both historical and real-time data."
"We use it for ETL purposes as well as for implementing the full transformation pipelines."
"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 main feature that we find valuable is that it is very fast."
"The solution is very stable."
"We were able to install it without any assistance from tech support."
"Pentaho is an analytics platform that can be used when an organization has a lot of big data storage systems already installed and needs to manage and analyze that data. It has a specific use case for unstructured data, such as documents, and needs to be able to search and analyze it."
"I use the BI Server, CDE Dashboards, Saiku, and Kettle, because these tools are very good and highly experienced."
"The initial setup is pretty straightforward."
"The most valuable feature of Pentaho is the Tableau report."
"Easy to use components to create the job."
"Pentaho Business Analytics' best features include the ease of developing data flows and the wide range of options to connect to databases, including those on the cloud."
"It requires overcoming a significant learning curve due to its robust and feature-rich nature."
"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."
"Apache Spark's GUI and scalability could be improved."
"I would like to see integration with data science platforms to optimize the processing capability for these tasks."
"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 migration of data between different versions could be improved."
"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."
"Stability in terms of API (things were difficult, when transitioning from RDD to DataFrames, then to DataSet)."
"Another concern is that Pentaho is not customizable or interactive."
"Pentaho Business Analytics' user interface is outdated."
"Version control would be a good addition."
"The repository should be improved."
"Pentaho, at the general level, should greatly improve the easy construction of its dashboards and easy integration of information from different sources without technical user intervention."
"We did not achieve the ROI. The work delivered to users had lesser value than the subscription cost."
"Logging capability is needed."
"Deployment is not simple. It is not simple because we are dealing with a lot of data; we are dealing with a lot of storage. So, it's not a simple process."
Apache Spark is ranked 1st in Hadoop with 60 reviews while Pentaho Business Analytics is ranked 19th in BI (Business Intelligence) Tools with 42 reviews. Apache Spark is rated 8.4, while Pentaho Business Analytics 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 Pentaho Business Analytics writes "Flexible, easy to understand, and simple to set up". Apache Spark is most compared with Spring Boot, AWS Batch, Spark SQL, SAP HANA and Cloudera Distribution for Hadoop, whereas Pentaho Business Analytics is most compared with Microsoft Power BI, Databricks, KNIME, SAP Crystal Reports and Microsoft SQL Server Reporting Services.
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