Launched in 2017 and available on AWS, Amazon Connect is a cloud-based omnichannel contact center designed to provide a seamless experience across voice and website live chat, featuring skills-based routing, task tracking, and analytic tools to track customer interactions, or evaluate agent activity. It can support office-based or virtual contact centers. The service is pay-per-usage, per feature.
$0
per profile/per month
Google App Engine
Score 8.2 out of 10
N/A
Google App Engine is Google Cloud's platform-as-a-service offering. It features pay-per-use pricing and support for a broad array of programming languages.
$0.05
Per Hour Per Instance
Pricing
Amazon Connect
Google App Engine
Editions & Modules
Customer Profiles
$0.0025
per profile/per month
Chat
$0
per message
Contact Lens (5 million+ monthly minutes)
$0.0125
per minute
Contact Lens (first 5 million monthly minutes)
$0.015
per minute
Voice
$0.02
per minute
Voice ID
$0.025
per transaction
Tasks
$0.04
per task
Starting Price
$0.05
Per Hour Per Instance
Max Price
$0.30
Per Hour Per Instance
Offerings
Pricing Offerings
Amazon Connect
Google App Engine
Free Trial
Yes
No
Free/Freemium Version
No
Yes
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
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More Pricing Information
Community Pulse
Amazon Connect
Google App Engine
Features
Amazon Connect
Google App Engine
Contact Center Software
Comparison of Contact Center Software features of Product A and Product B
Amazon Connect
7.8
6 Ratings
7% below category average
Google App Engine
-
Ratings
Agent dashboard
9.06 Ratings
00 Ratings
Validate callers
8.56 Ratings
00 Ratings
Outbound response
7.56 Ratings
00 Ratings
Call forwarding
7.05 Ratings
00 Ratings
Click-to-call (CTC)
7.56 Ratings
00 Ratings
Warm transfer
8.05 Ratings
00 Ratings
Predictive dialing
5.04 Ratings
00 Ratings
Interactive voice response
7.06 Ratings
00 Ratings
REST APIs
9.04 Ratings
00 Ratings
Call scripts
8.05 Ratings
00 Ratings
Call tracking
9.05 Ratings
00 Ratings
Multichannel integration
7.06 Ratings
00 Ratings
CRM software integration
9.06 Ratings
00 Ratings
Workforce Optimization (WFO)
Comparison of Workforce Optimization (WFO) features of Product A and Product B
Amazon Connect
7.7
6 Ratings
7% below category average
Google App Engine
-
Ratings
Inbound call routing
8.06 Ratings
00 Ratings
Omnichannel inbound routing
8.06 Ratings
00 Ratings
Recording
9.05 Ratings
00 Ratings
Quality management
6.05 Ratings
00 Ratings
Call analytics
9.06 Ratings
00 Ratings
Historical reporting
9.05 Ratings
00 Ratings
Live reporting
6.06 Ratings
00 Ratings
Customer surveys
6.05 Ratings
00 Ratings
Customer interaction analytics
8.05 Ratings
00 Ratings
Platform-as-a-Service
Comparison of Platform-as-a-Service features of Product A and Product B
Our company is a startup that is just starting to get wholesale customers. When we realized our customers needed support using our products, we set up a Contact Center via Amazon Connect. It has been very useful in allowing us to scale up very quickly, and provide services to our company as if we were a large corporation.
App Engine is such a good resource for our team both internally and externally. You have complete control over your app, how it runs, when it runs, and more while Google handles the back-end, scaling, orchestration, and so on. If you are serving a tool, system, or web page, it's perfect. If you are serving something back-end, like an automation or ETL workflow, you should be a little considerate or careful with how you are structuring that job. For instance, the Standard environment in Google App Engine will present you with a resource limit for your server calls. If your operations are known to take longer than, say, 10 minutes or so, you may be better off moving to the Flexible environment (which may be a little more expensive but certainly a little more powerful and a little less limited) or even moving that workflow to something like Google Compute Engine or another managed service.
There is a slight learning curve to getting used to code on Google App Engine.
Google Cloud Datastore is Google's NoSQL database in the cloud that your applications can use. NoSQL databases, by design, cannot give handle complex queries on the data. This means that sometimes you need to think carefully about your data structures - so that you can get the results you need in your code.
Setting up billing is a little annoying. It does not seem to save billing information to your account so you can re-use the same information across different Cloud projects. Each project requires you to re-enter all your billing information (if required)
App Engine is a solid choice for deployments to Google Cloud Platform that do not want to move entirely to a Kubernetes-based container architecture using a different Google product. For rapid prototyping of new applications and fairly straightforward web application deployments, we'll continue to leverage the capabilities that App Engine affords us.
It is reliable system. It has own IVR, Database(DynamoDB) Backend(Lambda) support of multi channel(email, chat & voice) Integration with some of the biggest CRM system
I had to revisit the UI after a year of just setting up and forgetting. The UI got some improvements but the amount of navigation we have to go through to setup a new app has increased but also got easier to setup. Gemini now is integrated and make getting answers faster
Good amount of documentation available for Google App Engine and in general there is large developer community around Google App Engine and other products it interacts with. Lastly, Google support is great in general. No issues so far with them.
Amazon Connect has lots of free training available for partners and in general. So many demos are available to practice. It's free to test and gain more confidence before deploying in real world scenarios. You can use other AWS features to be integrated with Amazon cloud. Features like lense is amazing
We were on another much smaller cloud provider and decided to make the switch for several reasons - stability, breadth of services, and security. In reviewing options, GCP provided the best mixtures of meeting our needs while also balancing the overall cost of the service as compared to the other major players in Azure and AWS.
Effective integration to other java based frameworks.
Time to market is very quick. Build, test, deploy and use.
The GAE Whitelist for java is an important resource to know what works and what does not. So use it. It would also be nice for Google to expand on items that are allowed on GAE platform.