Denodo Reviews

In the past, transforming data from databases to other tools was a tedious and time-consuming process. Denodo eliminates that hassle, saving me time and money.

So, Denodo improves data integration processes. It reduced the time to go live and required fewer human resources to make data accessible across the company.

Moreover, it supports our reporting needs. I use Bar BI for reporting, and Denodo's ability to connect directly to native data sources without complex configurations is a great feature.

I like the integrated views. They're incredibly useful, along with the overall integration capabilities.

The logical data warehouse functionality is fantastic. It truly stands out.

The ClearOptimizer and Virtual Cache are great features. They work together seamlessly to optimize performance.

I'm waiting for them to introduce the generative AI capabilities they mentioned would be available by the end of the year. That would be a game-changer.

Moreover, I would like to see the ability to utilize vector databases. 

For some internal strategies, I need to publish data into vector databases. Denodo currently integrates with ChatGPT, but the ability to manage and utilize them directly within Denodo would be a significant improvement.

I have been working with it for a year now. 

We never had performance or scalability challenges with Denodo.

The customer service and support are fantastic. 

I used SSIS as an ETL tool and some IBM staging tools, but not extensively.

I used SSIS at my previous company and then switched to Denodo here.

The time to market is significantly faster with Denodo, both for deployment and publishing updates. Additionally, the web service capabilities are fantastic. We can deploy any web service in just minutes without complex development or security concerns.

If you need immediate access to data (within 3-5 days), Denodo is a great solution. However, for complex data silos, I recommend trying a demo for a week or two before making a decision.

Overall, I would rate the solution an eight out of ten.

We use Denodo to fetch ad hoc reports. The users can join tables or views and fetch the reports on their own. It is not a soft controlled environment or an OCC controlled environment, so they can do whatever they need. The have some room to play.

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.

Monitoring event logs can be improved. In the older version, there was a monitoring schedule to get event reports and properly audit the reports. In the newer version, it is not there, and we have to manually configure data and audit events.

Denodo could create a UI for us to monitor the events. They could also provide a good training environment or basic training on how to create a view. At present, we have been creating our own material for training. It would be better if Denodo could provide that training material for beginners.

I've been using Denodo for about six years.

It is scalable, and we have 500 users.

I would give Denodo's technical support a ten out of ten.

Positive

The initial setup is very simple. Two people are sufficient for deployment and maintenance.

I installed it myself.

The pricing is pretty good, and I would rate it at four out of five.

Denodo is an easy tool that can be used for data mining. You can connect to all of the data sources. You can see the views easily.

A beginner may find installation complex as he will have to configure the scheduler, the VDP client, and the audit as well. However, it will be fine for an experienced person.

Overall, on a scale from one to ten, I would give Denodo an eight.

We use the solution for data virtualization to publish the data as a product. We have different teams who have their own database. If a team needs any data, they get it from Denodo.

It is easy to virtualize data using the solution. If required, we can also use the solution for caching.

The solution is slow when there are many virtualization layers. The solution is also slow when we connect the on-premise solution with the one on the cloud through a network gateway.

I have been using the solution for two and a half years.

The product is stable.

More than 100 people in the organization are using the solution.

As a developer, I can easily set up the solution on my local Kubernetes. Local configuration is pretty easy.

A lot of virtualization leads to data latency. We can do caching on the intermediate layer. We can also leverage Databricks if we have any complex transformation.

I have a local Docker container. I can easily integrate my local container through Git repo and clone it in our depth server. Denodo is the only tool I know for data virtualization. I will recommend the solution to others. Overall, I rate the product a ten out of ten.

We have around 100 people using this solution in my company. The solution is deployed on cloud and on-premises.

The most valuable features are query optimization and the single language independence from the sources we're using to catch data.

I would like to see a proper way to avoid killing the sourcing systems. There is some parameterization in this case if you push down the query to some systems, but I think there are still issues with giving this tool to end users because they could write queries that could cause a lot of issues in the operation systems.

I have worked with this solution for more than two years.

It's quite stable.

It's scalable.

I would rate technical support as four out of five.

We compared this solution with TIBCO. We chose to go with Denodo because we had some daughter companies that previously used TIBCO and gave us some feedback about it.

Setup is simple on the cloud. The on-premises setup could be more complex depending on the security firewalls.

I would rate this solution as nine out of ten.

I think the business metadata should be available to help people understand what kind of data is being connected. This makes it difficult for end users to use Denodo.

I would recommend this solution to those who are interested in it.

Denodo is a tool used for data virtualization. Our company provides services to our customers. One of our customers is on the Denodo platform.

Denodo is lightweight in terms of how it leads you to combine your discrete data systems in one spot. You are able to logically define and create your desired data set without actually getting your data shifted from the data system like any trivial ETL system does. It will not perform any data movement.

The solution provides ease for accessing data in various ways, including on-demand APIs. Uploading your data on an API will take less than an hour.

Denodo provides a good experience in terms of data visualization. The data on demand is the best feature. I also enjoy the go-to feature for data fabrication, or data mass structure, where data democratization is being sent data for all people at that time.

There are a few cosmetic changes that would make Denodo better, including offering holistic governance. It would be beneficial if you could see what inquiries are going around Denodo on the remote system, including who has logged in and which one is using which part of the deviant spaces. 

Denodo has provided several modules with their scheduler that also have room for improvement. 

When thinking about future releases, Denodo should consider their platform availability because our administrator has seen some challenges in this regard. It requires some optimization on the developer side as well. 

Denodo would benefit from having a more user-friendly view. It would be good if the solution provided a much-needed cellular platform.

I have been using Denodo for five years.

The stability of Denodo is okay. You will encounter some load optimization and performance tuning, so you do need some technicality around your data pack. 

The scalability is there. With AWS, there is elastic computing that manages scalability.

We currently have over 200 people working on Denodo. This includes our customer's manufacturing organization as well as people from business intelligence and analytics. They consume data directly from Denodo.

Customer service and support with Denodo is quite good. Our concerns are resolved and addressed on time. Overall, I would rate Denodo's technical support a four out of five.

Positive

The initial setup of Denodo is straightforward. The time it takes to deploy depends on each scenario. If you are looking for an inspired level of adoption, that will require time to model the data. However, if you are looking to use Denodo on a more simplified basis, deployment will not take longer than a couple of weeks.

Being an architect, I would rate the ease of setup a four and a half out of five.

Denodo typically provides a positive ROI within six months.

Licenses are available for the solution manager or for one of the components. It is a fixed price license for those that connect. The cost for Denodo is in line with other similar products.

The first comment I have for anyone considering implementing Denodo into their organization would be to ensure they understand that they should not expect ETL from Denodo. ETL is an old concept of data integration, while Denodo is the latest version. 

With Denodo, there is no need to further your ETL workflows. The workflows will be created in parallel, and you will realize how the Denodo implementation is setting it up to replace your ETL flow. You do not need to smooth or attach anything to what is currently running. By working in parallel with what the Denodo system is using, you will be able to copy across your users on Denodo and realize virtualization over your ETL. 

Overall, I would rate Denodo an eight out of ten.

I am using Denodo as a data integration and management tool. The concept behind Denodo is data virtualization, which makes the retrieval of data available faster. The availability of data in real-time is much faster as compared to directly accessing the data from the web.

The virtual layer or Symantec part of it are most valuable. Where all the data sources, which we integrate together, are available on a virtual layer and that makes it faster.

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. If they provided an option directly in Denodo to connect to these Power BI, and Tableau, Denodo would be even stronger. Microsoft provides SharePoint, and they have this option where you can directly connect to Power BI, and you can directly connect to the visualization tools. If Denodo can do this, then it would be great.

I have been working with Denodo for over one year.

Denodo is very stable. I started working with Denodo a year ago, and I have not come across any issues.

The technical team of Denodo is really good. They are very helpful. I had some issues because I was doing my first project, but the Denodo team is cooperative and supportive. They immediately helped me with whatever issue I was facing. I just had to email them, and they responded immediately.

Positive

It is very straightforward and easy. They provide hands-on training and proper documentation. Their knowledge base is detailed and easy to understand and learn.

Both options are available. The Denodo team can directly do it for you, or you can do it from a third party who is experienced in it. It takes one day, less than one day. You just need to know the right requirements from the customer for whom you want to deploy the Denodo platform, how many servers they want, and what type of installation they want. It depends on the customer, but the deployment is easy.

There is an express edition and an enterprise edition. For customers, obviously, we provide them with the enterprise edition. Students can use the express edition and it is free to download.

I would suggest having basic knowledge about data. For example, what are the different types of data sources? And what is a data warehouse? The fundamentals of data science. The basic knowledge as well as having an understanding of Structured Query Language, because Denodo uses a query language that is called Virtual Query Language, and it is similar to that SQL. I would rate Denodo a nine out of ten.

I mainly use Denodo for data modification.

Denodo's best features are its performance, easy data transformation, and the job scheduler. 

Denodo has some difficulty supporting large numbers of records. Its error reporting is also unreliable and doesn't give clear information on the problem. We've also recently had an issue with roles getting deleted.

I've been using Denodo for almost fifteen months.

We've recently had some problems with slowness and instability. 

Denodo is scalable.

The initial setup was easy and took about an hour.

I would rate Denodo seven out of ten.

My customers use Denodo for data integration. Before using Denodo, they did not have a platform to control all data sources with one platform. Denodo allows connecting different data sources for analysis and reporting.

The most valuable feature of Denodo is security, especially the privilege control. Denodo can connect over 150 data sources, making data integration effective. 

The GUI interface allows easy connection of all data sources like API, JSON, or any JDBC source. 

Additionally, the enterprise version has a global security management feature to control privileges by role.

I am still waiting for Denodo to support vector databases. Currently, Denodo does not provide a vector database, which my customers build on their own to use AI functionalities.

I have been working with Denodo for one and a half years.

Denodo is stable. It can handle API stress tests effectively.

Denodo is scalable.

As a presales engineer, I do not have direct experience with the initial setup since my role is focused on selling the product.

Pricing is case by case, so I cannot provide specific details.

I only work for Denodo. I am not familiar with other solutions.

If customers want to make their data valuable, they must know which data they are using. By using Denodo's data category feature, they can identify and manage valuable data effectively.

I'd rate the solution eight out of ten.