ConfigCat allows the user to launch new features and change software configuration without (re)deploying code. ConfigCat SDKs enable easy integration with any web, mobile or backend applications. The ConfigCat website enables non-developers too to switch ON/OFF application features or change software configuration. This way the user can decouple feature launches and configuration from code deployment.
$0
per month
F5 Big-IP Advanced WAF
Score9.4 out of 10
N/A
F5 Networks offers the Advanced Web Application Firewall (WAF) to provide bot defense, advanced application protection, anti-bot SDK, and other features.
N/A
Pricing
ConfigCat
F5 Big-IP Advanced WAF
Editions & Modules
Free
$0.00
per month
Professional
$49.00
per month
Unlimited
$199.00
per month
Dedicated on-premise infra
$1499.00
per month
Dedicated hosted infra
$1499.00
per month
No answers on this topic
Offerings
Pricing Offerings
ConfigCat
F5 Big-IP Advanced WAF
Free Trial
Yes
No
Free/Freemium Version
Yes
No
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
Fair pricing policy: All features available in all plans, even in Free. Simple and predictable prices. No hidden fees. We don't charge for team size. We don't charge for MAUs (monthly active users). Our plans only differ in limitations.
If you are looking for an experimentation/feature flag style tool that is quick to adopt and provides enough functionality for light/medium use cases, then this is the tool for you. Additionally, they are growing and expanding their functionality and feature set so they can grow alongside you and your needs. The publicly accessible roadmap is also a great benefit to see where time is being spent on which feature next.
I believe that in industrial environments like ours where we have to have bare metal devices near the production environment combined with hybrid cloud, that is a good platform. That's a good use case. It optimizes traffic. It helps us stay more secure in our data centers. Now with regards to that are fully operating in the cloud, I'm not really sure if we would make the same decision considering the option that I said to have something that is self-provision to avoid too much management of virtual machines on the cloud. So that's an area of improvement.
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
So the product definitely is helping us for sudden attacks through DDOS, some injection ingestion into UI URLs, and definitely it's capturing those and I definitely see that as an advantage for us. They can stop the hackers from using our endpoints.
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
The UI for events. E.g., clicking the "Accept" button does nothing.
Traffic learning suggestions are often very incorrect. We were originally suggested to use "Automatic" learning, and had to completely scrap the policy due to the suggestions.
"All in one" dashboard for viewing application URL/parameter overrides per policy.
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
Just everything from the website to locating what i need (docs) specific to my platforms is super easy. Not to mention the support articles answering previous questions
Most* of it is very intuitive and easy to use. The "Help" section is fairly fantastic. See some of my other comments about things like the "Traffic Learning" section being wildly wrong sometimes, and also the event logs with UI buttons that don't do anything. Overall though, it's an excellent product.
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
They have a community Slack channel that is open to anyone. They always seem to have people in there, even over the weekends and are always happy to answer any questions you have,
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
At iBinder we searched for and vetted several suppliers of a feature toggle service to handle feature toggling in our production environment. In addition to our functional requirements, it was crucial for us to find a partner that could deliver an EU-compliant service. We finally decided to sign a service agreement with ConfigCat. This has been a real success story for us – in addition to being compliant, ConfigCat delivers an amazing, flexible, and reliable service. They continue to impress by also being very transparent and having a fantastic support and they are very solution oriented and accommodating when it comes to our feature requests etc. We have now used ConfigCat for approximately 2 years and we give our warmest recommendations to anyone who needs a stable, reliable and EU-compliant feature toggle service.
-Stable data path equals to less crashes -Almost all the features working as expected -Provides more granular controls in allowing false positives -Request evaluation is accurate -Irules feature is a plus
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
Allowed us to migrate seamlessly from a major customer communication system to another, reducing end-user friction and production bugs by being able to turn features off if they didn't work as intended.
We went from zero experimentation to running 10-20 experiments concurrently across systems. Engineering teams are thinking in an experimentation mindset.
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