F5 Distributed Cloud WAF leverages F5's Advanced WAF technology, delivering WAF-as-a-Service and combining signature- and behavior-based protection for web applications. It acts as an intermediate proxy to inspect application requests and responses to block and mitigate a broad spectrum of risks stemming from the OW ASP Top 10, persistent and coordinated threat campaigns, bots, and layer 7 DoS.
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.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
It is doing its job effectively, and its scalability is superb. So, if you have a mixed environment with cloud and on-premise systems to protect this product, provide a solution to the challenge. However, its management is more suited to DevOps teams rather than to the ones responsible for on-premise systems, making the management a bit more complex.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Layer seven attacks are becoming far more common. Traditionally it was always layered three, layer four, where you get an additional firewall, but with the application layer attacks become more frequent, more popular, et cetera. So having the web application firewall protecting us, and then with the recent Log4j, that's the most recent use case when it gave us that instant level of protection whilst we remediated the Log4j that we had that and the F5 Distributed Cloud WAF was protecting us.
I have a great relationship with the account manager, my account manager, and I think he drives the best price possible, um, for me, and I'm happy with that price.
F5 Distributed Cloud WAF is always innovating and evolving.
We run a very competitive proof value where we run numerous competitors against each other, and then we evaluate from that and then make the selection, and F5 Distributed Cloud WAF was the winner.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
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.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
We gave it an 8 because it protects our web apps well and is reliable. The WAF is flexible and meets most of our needs. It could improve in user interface and make integrations easier, but overall, it’s a solid and effective security tool for us.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
I believe is a solution that was designed from the start to be simple and easy to use. Coming from Imperva, it simply eased the burden and complexity of managing and securing our apps on different environments (cloud and on-prem). It easy to scale and very quick to deploy (as a cloud waf should be), provide us with DevOps integrations, visibility and automatic insights from multiple events that guarantee peace of mind for us analysts and opp managers.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. TR verified that a representative sample of customers was invited. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
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.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
The other one that I've used in the past, they're very similar and I haven't used it recently, so I can't do a side-by-side comparison today. But I can say that F5 does everything we want it to do consistent with what this other product did do and it's got enhanced features and of course we have a long history with F5 as a product set in general.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. TR verified that a representative sample of customers was invited. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
The biggest gain for us was speed. Before F5 Distributed Cloud WAF, onboarding a new app to our WAF stack meant manual rule tuning, traffic sampling and regression testing. Right now, we spin up a service, tag it with the right policy and its ready (production ready) within hours
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
