We performed a comparison between Denodo and Elastic Search 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."While we may not be using all the features of Denodo at this time, we have found the data virtualization features to be very useful in helping us connect our data sources together, bringing all our data into one platform."
"It can support a number of data sources, and it can pull flat files, from cloud-based databases or from those on-premises. Denodo can pull from any data source and interface with the view. Then, we can publish the view."
"The most valuable features are query optimization and the single language independence from the sources we're using to catch data."
"It is a very stable solution."
"Data mining is one of the valuable features. We're able to connect all of the data sources with the installed driver, so that is a good advantage in Denodo. Being able to join the tables and view them is also valuable."
"Access to numerous forums and internet information."
"The most valuable feature is the performance. Denodo is very useful, especially in this huge pharma environment. I've found that older SAP solutions were very tightly coupled to each other, which resulted in data restrictions. Getting data from different sources was tough and tedious. Compared to these old solutions, Denodo is very easy to work with for the analytical team. Now that we've implemented this virtualization layer, we are capable of getting the data very smoothly. We implemented a very small unit, but the performance and integration have been very good."
"The most valuable aspects of this solution are the short time frame in which you can deliver and connect."
"I appreciate that Elastic Enterprise Search is easy to use and that we have people on our team who are able to manage it effectively."
"A good use case is saving metadata of your systems for data cataloging. Various systems, like those opened in metadata and similar applications, use Elasticsearch to store their text data."
"There's lots of processing power. You can actually just add machines to get more performance if you need to. It's pretty flexible and very easy to add another log. It's not like 'oh, no, it's going to be so much extra data'. That's not a problem for the machine. It can handle it."
"The special text processing features in this solution are very important for me."
"The initial installation and setup were straightforward."
"I really like the visualization that you can do within it. That's really handy. Product-wise, it is a very good and stable product."
"It is easy to scale with the cluster node model."
"Data indexing of historical data is the most beneficial feature of the product."
"I would like to see a connectivity option with third-party apps, for example, JDBC, and ODBC drivers. Currently, we need to install it separately from the Denodo side and then connect it."
"Denodo currently integrates with ChatGPT, but the ability to manage and utilize them directly within Denodo would be a significant improvement."
"Sometimes, Windows-related functions do not work properly in Denodo. The analytic functions in SQL do not work properly."
"We occasionally have some integration issues that we need to work through."
"It would be good if the solution provided a much-needed cellular platform."
"Denodo's training documentation could be improved by providing more material. From an administrative standpoint, I've found that only Denodo websites provide the usual tutorials. It may be because it's a bit of a restricted tool, but it results in trouble with learning. Normally, I can find help and solutions from other sources, but I haven't been able to find any for Denodo. Other that, it's fine and it performs well. I only have six months of experience, so I can't accurately suggest improvements."
"It would be beneficial to make sure that the team that will be using Denodo has some kind of training on how to use the product at least a month beforehand, and there could even be some kind of feedback or Q&A sessions to go along with the training. If Denodo were able to provide this kind of training, it would be very helpful to users in insurance and banking companies because the staff are typically older and not always technically-minded."
"Tasks such as conversion of a date format or conversion of a number format that can be done in a very easy way in different languages, like SQL or Oracle, are not so easy to do in Denodo. For example, if you want to convert a date from one format to another, in Oracle it's pretty easy; in Denodo, however, it requires so many lines of code. Simple things that can be done very quickly in other database languages require more lines of code in Denodo."
"Enterprise scaling of what have been essentially separate, free open source software (FOSS) products has been a challenge, but the folks at Elastic have published new add-ons (X-Pack and ECE) to help large companies grow ELK to required scales."
"Elastic Enterprise Search could improve its SSL integration easier. We should not need to go to the back-end servers to do configuration, we should be able to do it on the GUI."
"They're making changes in their architecture too frequently."
"The pricing of this product needs to be more clear because I cannot understand it when I review the website."
"There are challenges with performance management and scalability."
"Dashboards could be more flexible, and it would be nice to provide more drill-down capabilities."
"It should be easier to use. It has been getting better because many functions are pre-defined, but it still needs improvement."
"I would like to be able to do correlations between multiple indexes."
Denodo is ranked 8th in Cloud Data Integration with 29 reviews while Elastic Search is ranked 10th in Cloud Data Integration with 59 reviews. Denodo is rated 7.8, while Elastic Search is rated 8.2. The top reviewer of Denodo writes "Saves our underwriters' time with data virtualization, but could provide more learning resources". On the other hand, the top reviewer of Elastic Search writes "Played a crucial role in enhancing our cybersecurity efforts ". Denodo is most compared with Azure Data Factory, AWS Glue, Mule Anypoint Platform, Delphix and Informatica PowerCenter, whereas Elastic Search is most compared with Faiss, Milvus, Pinecone, Azure Search and Amazon Kendra. See our Denodo vs. Elastic Search report.
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