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."I feel the streaming is its best feature."
"Now, when we're tackling sentiment analysis using NLP technologies, we deal with unstructured data—customer chats, feedback on promotions or demos, and even media like images, audio, and video files. For processing such data, we rely on PySpark. Beneath the surface, Spark functions as a compute engine with in-memory processing capabilities, enhancing performance through features like broadcasting and caching. It's become a crucial tool, widely adopted by 90% of companies for a decade or more."
"Features include machine learning, real time streaming, and data processing."
"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."
"One of the key features is that Apache Spark is a distributed computing framework. You can help multiple slaves and distribute the workload between them."
"Apache Spark provides a very high-quality implementation of distributed data processing."
"The product’s most valuable features are lazy evaluation and workload distribution."
"The good performance. The nice graphical management console. The long list of ML algorithms."
"The initial setup is pretty straightforward."
"I use the BI Server, CDE Dashboards, Saiku, and Kettle, because these tools are very good and highly experienced."
"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."
"The most valuable feature of Pentaho is the Tableau report."
"Easy to use components to create the job."
"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."
"When you first start using this solution, it is common to run into memory errors when you are dealing with large amounts of data."
"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."
"One limitation is that not all machine learning libraries and models support it."
"It needs a new interface and a better way to get some data. In terms of writing our scripts, some processes could be faster."
"The solution needs to optimize shuffling between workers."
"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."
"It's not easy to install."
"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."
"Pentaho Business Analytics' user interface is outdated."
"Another concern is that Pentaho is not customizable or interactive."
"Version control would be a good addition."
"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."
"We did not achieve the ROI. The work delivered to users had lesser value than the subscription cost."
"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."
"Logging capability is needed."
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 Databricks, Microsoft Power BI, KNIME, SAP Crystal Reports and Microsoft SQL Server Reporting Services.
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.