I use the tool to integrate and standardize data. It converts all kinds of data. It can convert non-relational data to relational data. It can create a standardized way to consume data.
Agora on AWS
Denodo Technologies Inc.External reviews
External reviews are not included in the AWS star rating for the product.
User-friendly, provides useful integrations, and enables fast consumption of data
What is our primary use case?
What is most valuable?
The API generator helps generate APIs. The integration with Presto and other MPPs is valuable. It also provides integrations with Lucene and Elasticsearch. The tool has zero data replication. We can consume data fast. The product democratizes data. People talk about data democratization. Providing access to data is one thing, but the solution gives data in a format that people can consume.
What needs improvement?
Data transformation must be improved. Denodo is not the best tool for data transformation.
For how long have I used the solution?
I have been using the solution for one and a half years.
What do I think about the stability of the solution?
The product is pretty stable. I rate the stability a nine out of ten.
What do I think about the scalability of the solution?
The product is highly scalable. I rate the scalability a ten out of ten.
How are customer service and support?
The technical support is very good. I rate the support an eight and a half out of ten.
How would you rate customer service and support?
Positive
How was the initial setup?
The setup is simple and straightforward. The deployment takes about two months. We required two data architects to deploy the product. The vendor maintains the solution. The tool can be deployed on-premise, in the cloud, or in multi-cloud environments.
What was our ROI?
By using more data in decision-making, our strategy became more accurate. Eventually, we can replace a lot of processes and a lot of systems that we have.
Which other solutions did I evaluate?
Starburst and Tray.io are too technical. Denodo is very user-friendly. Denodo is a technological tool for non-technical people. It is very easy to use. Denodo is way more mature than Starburst and Tray.io.
What other advice do I have?
We connect all the data sources with Denodo, and Denodo connects with the metadata. We do not move the data. We embrace the fact that data now resides in distributed data sources. Through the metadata, we create a catalog. The catalog pretty much centralizes all our data management. Through the catalog, all the information is standardized.
We can visualize the information, manipulate the data, and integrate the catalog with data-consuming systems like Power BI, Tableau, and Apache. We do not centralize data. People think we need to get all the data outside the sources and put it in a repository to manage data properly. It is not necessary. We can integrate and create the catalog without replicating or moving any data. We can integrate with all the data-consuming systems we have and create a logical data layer.
Overall, I rate the solution a nine out of ten.
Improves data integration processes and reduced the time to go live and required fewer human resources
How has it helped my organization?
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.
What is most valuable?
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.
What needs improvement?
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.
For how long have I used the solution?
I have been working with it for a year now.
What do I think about the scalability of the solution?
We never had performance or scalability challenges with Denodo.
How are customer service and support?
The customer service and support are fantastic.
Which solution did I use previously and why did I switch?
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.
What other advice do I have?
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.
amazing data virtualization tool!!
It is the best application i used for end user data consumption till date with some limitations
Denodo Data Virtualization
Combining data from multiple data sources
Security
Data Governance
Data Caching