18 Reviews and Ratings
74 Reviews and Ratings
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Denodo allows us to create and combine new views to create avirtual repository and APIs without a single line of code. It is excellentbecause it can present connectors with a view format for downstream consumersby flattening a JSON file. Reading or connecting to various sources anddisplaying a tabular view is an excellent feature. The product's technical datacatalog is well-organized.Incentivized
The same way you design data integration job can be used to design services. It is easy to enhance by custom components and can adapt to all requirements. Talend Data Integration connects to [a] multitude of data sources and streaming service. Very easy interface to design complex applications without spending much time on coding. Easy to learn and master. Talend constantly strives to better itself by adding more features and functionalities.
Database Agnostic: You can easily connect to different environments and mash up data sets.The "magic" of data virtualization: No data is created, so data is reported in near-real-time to end users.It's easy to use UI for developers. You just connect to a data source, create tables, and join them to other datasets.Incentivized
We used Talend to ETLing the data from myriad sources such Oracle Database, Clarify, Salesforce, Sugar CRM, SQL DB, MQ, Stibo Step, FTP, Netezza, and Files.We leverage Talend transformation capabilities for stitching the data , unions and joinWe successfully created the final unified set that can be used by businessIncentivized
Caching - but I am sure it will be improved by now. There were times when we expected the cache to be refreshed but it was stale.Schema generation of endpoints from API response was sometimes incomplete as not all API calls returned all the fields. Will be good to have an ability to load the schema itself (XSD/JSON/Soap XML etc).Denodo exposed web services were in preliminary stage when we used; I'm sure it will be improved by now.Export/Import deployment, while it was helpful, there were unexpected issues without any errors during deployment. Issues were only identified during testing. Some views were not created properly and did not work. If it was working in the environment from where it was exported from, it should work in the environment where it is imported.Incentivized
Pricing for sure can be the area for improvement.Real time processing is slow as compared to other tools like Abinitio.While developing batches, it crashes a lot. It may be the issue with me, but I wanted to highlight it.Incentivized
Denodo is very easy to use. It has a user-friendly drag and drop interface. I'm not a fan of the java platform it resides on.Incentivized
We use Talend Data Integration day in and day out. It is the best and easiest tool to jump on to and use. We can build a basic integration super-fast. We could build basic integrations as fast as within the hour. It is also easy to build transformations and use Java to perform some operations.Incentivized
Denodo is a tool to rapidly mash data sources together and create meaningful datasets. It does have its downfalls though. When you create larger, more complex datasets, you will most likely need to cache your datasets, regardless of how proper your joins are set up. Since DV takes data from multiple environments, you are taxing the corporate network, so you need to be conscious of how much data you are sending through the network and truly understand how and when to join datasets due to this.Incentivized
Good support, specially when it relates to PROD environment. The support team has access to the product development team. Things are internally escalated to development team if there is a bug encountered. This helps the customer to get quick fix or patch designed for problem exceptions. I have also seen support showing their willingness to help develop custom connector for a newly available cloud based big data solutionIncentivized
Denodo is simple and easy to use. Highly recommended unless you have huge volumes of data Incentivized
In comparison with the other ETLs I used, Talend is more flexible than Data Services (where you cannot create complex commands). It is similar to Datastage speaking about commands and interfaces. It is more user-friendly than ODI, which has a metadata point of view on its own, while Talend is more classic. It has both on-prem and cloud approaches, while Matillion is only cloud-based.Incentivized
It is a huge advantage that we can connect to many different databases to provide data rapidly and accurately.It has proven to be a valuable environment for deploying data virtualization solutions, and its user community is active in finding and fixing issues.Incentivized
It’s only been a positive RoI with Talend given we’ve interfaced large datasets between critical on-Prem and cloud-native apps to efficiently run our business operations.40K+ plots data, covering 1K+ crop varieties.3K+ Customer & their credit data, 3K+ product inventory & pricing.Incentivized