Likelihood to Recommend Useful in scenarios where we use a complex microservices-based implementation with the complexity of inter-service communication. Can use App Mesh with services running on any compute services such as Amazon ECS, Amazon EKS, and Amazon EC2. Can be used to isolate errors and pinpoint the error location and also to re-route.
Read full review Denodo allows us to create and combine new views to create a virtual repository and APIs without a single line of code. It is excellent because it can present connectors with a view format for downstream consumers by flattening a JSON file. Reading or connecting to various sources and displaying a tabular view is an excellent feature. The product's technical data catalog is well-organized.
Read full review Pros Standardization of microservices communication. Traceability and visibility of communication across microservices. Identify and Isolate issues in microservices communication. Monitoring and sending data to CloudWatch. Read full review 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. Read full review Cons Increase the limit of for a set of resources: virtual nodes and virtual gateways. Expert availability: not easy to find experts. Read full review 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. Read full review Usability 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.
Read full review Performance 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.
Read full review Alternatives Considered Istio is high on operational costs as compared to AppMesh. HIgher learning curve for
Istio as compared to AppMesh. Multi cluster support in AWS. App Mesh has IAM integration which is a plus for AWS workloads.
Read full review Denodo is simple and easy to use. Highly recommended unless you have huge volumes of data
Read full review Return on Investment High ROI as it facilitates operational monitoring and root cause analysis. Ensures to re-route and distribute traffic sustaining operational availability and performance - +ve for ROI. Service discovery enables service run time governance - +ve for ROI. Read full review 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. Read full review ScreenShots