We performed a comparison between Elastic Search and Pentaho Data Integration and Analytics based on real PeerSpot user reviews.
Find out in this report how the two Cloud Data Integration solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."The most valuable features are the data store and the X-pack extension."
"Search is really powerful."
"The products comes with REST APIs."
"The solution has good security features. I have been happy with the dashboards and interface."
"Elasticsearch includes a graphical user interface (GUI) called Kibana. The GUI features are extremely beneficial to us."
"Helps us to store the data in key value pairs and, based on that, we can produce visualisations in Kibana."
"The solution is quite scalable and this is one of its advantages."
"The observability is the best available because it provides granular insights that identify reasons for defects."
"The solution has a free to use community version."
"The fact that it's a low-code solution is valuable. It's good for more junior people who may not be as experienced with programming."
"The abstraction is quite good."
"The way it has improved our product is by giving our users the ability to do ad hoc reports, which is very important to our users. We can do predictive analysis on trends coming in for contracts, which is what our product does. The product helps users decide which way to go based on the predictive analysis done by Pentaho. Pentaho is not doing predictions, but reporting on the predictions that our product is doing. This is a big part of our product."
"This solution allows us to create pipelines using a minimal amount of custom coding."
"Lumada has allowed us to interact with our employees more effectively and compensate them properly. One of the cool things is that we use it to generate commissions for our salespeople and bonuses for our warehouse people. It allows us to get information out to them in a timely fashion. We can also see where they're at and how they're doing."
"It has a really friendly user interface, which is its main feature. The process of automating or combining SQL code with some databases and doing the automation is great and really convenient."
"We use Lumada’s ability to develop and deploy data pipeline templates once and reuse them. This is very important. When the entire pipeline is automated, we do not have any issues in respect to deployment of code or with code working in one environment but not working in another environment. We have saved a lot of time and effort from that perspective because it is easy to build ETL pipelines."
"There is another solution I'm testing which has a 500 record limit when you do a search on Elastic Enterprise Search. That's the only area in which I'm not sure whether it's a limitation on our end in terms of knowledge or a technical limitation from Elastic Enterprise Search. There is another solution we are looking at that rides on Elastic Enterprise Search. And the limit is for any sort of records that you're doing or data analysis you're trying to do, you can only extract 500 records at a time. I know the open-source nature has a lot of limitations, Otherwise, Elastic Enterprise Search is a fantastic solution and I'd recommend it to anyone."
"There are a lot of manual steps on the operating system. It could be simplified in the user interface."
"The one area that can use improvement is the automapping of fields."
"Elastic Enterprise Search could improve the report templates."
"The different applications need to be individually deployed."
"I would rate the stability a seven out of ten. We faced a few issues."
"Something that could be improved is better integrations with Cortex and QRadar, for example."
"Elastic Enterprise Search's tech support is good but it could be improved."
"The support for the Enterprise Edition is okay, but what they have done in the last three or four years is move more and more things to that edition. The result is that they are breaking the Community Edition. That's what our impression is."
"The product needs more plugins."
"I was not happy with the Pentaho Report Designer because of the way it was set up. There was a zone and, under it, another zone, and under that another one, and under that another one. There were a lot of levels and places inside the report, and it was a little bit complicated. You have to search all these different places using a mouse, clicking everywhere... each report is coded in a binary file... You cannot search with a text search tool..."
"I would like to see improvements made for real-time data processing."
"The performance could be improved. If they could have analytics perform well on large volumes, that would be a big deal for our products."
"I'm still in the very recent stage concerning Pentaho Data Integration, but it can't really handle what I describe as "extreme data processing" i.e. when there is a huge amount of data to process. That is one area where Pentaho is still lacking."
"One thing that I don't like, just a little, is the backward compatibility."
"Since Hitachi took over, I don't feel that the documentation is as good within the solution. It used to have very good help built right in."
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Elastic Search is ranked 9th in Cloud Data Integration with 59 reviews while Pentaho Data Integration and Analytics is ranked 15th in Data Integration with 48 reviews. Elastic Search is rated 8.2, while Pentaho Data Integration and Analytics is rated 8.0. The top reviewer of Elastic Search writes "Played a crucial role in enhancing our cybersecurity efforts ". On the other hand, the top reviewer of Pentaho Data Integration and Analytics writes "It's flexible and can do almost anything I want it to do". Elastic Search is most compared with Faiss, Milvus, Pinecone, Azure Search and Amazon Kendra, whereas Pentaho Data Integration and Analytics is most compared with SSIS, Azure Data Factory, Talend Open Studio, Oracle Data Integrator (ODI) and AWS Glue. See our Elastic Search vs. Pentaho Data Integration and Analytics report.
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