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."The fault tolerant feature is provided."
"The good performance. The nice graphical management console. The long list of ML algorithms."
"The processing time is very much improved over the data warehouse solution that we were using."
"The solution is scalable."
"The main feature that we find valuable is that it is very fast."
"Apache Spark provides a very high-quality implementation of distributed data processing."
"It provides a scalable machine learning library."
"There's a lot of functionality."
"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."
"The most valuable feature of Pentaho is the Tableau report."
"Easy to use components to create the job."
"I use the BI Server, CDE Dashboards, Saiku, and Kettle, because these tools are very good and highly experienced."
"We were able to install it without any assistance from tech support."
"The initial setup is pretty straightforward."
"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."
"Apache Spark's GUI and scalability could be improved."
"It needs a new interface and a better way to get some data. In terms of writing our scripts, some processes could be faster."
"We are building our own queries on Spark, and it can be improved in terms of query handling."
"They could improve the issues related to programming language for the platform."
"When you are working with large, complex tasks, the garbage collection process is slow and affects performance."
"There could be enhancements in optimization techniques, as there are some limitations in this area that could be addressed to further refine Spark's performance."
"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."
"If you have a Spark session in the background, sometimes it's very hard to kill these sessions because of D allocation."
"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."
"The repository should be improved."
"Version control would be a good addition."
"Logging capability is needed."
"We did not achieve the ROI. The work delivered to users had lesser value than the subscription cost."
"Pentaho Business Analytics' user interface is outdated."
"Another concern is that Pentaho is not customizable or interactive."
"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 21st 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, Microsoft SQL Server Reporting Services, SAP Crystal Reports and Tableau.
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