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
Microsoft Azure
Score 8.4 out of 10
N/A
Microsoft Azure is a cloud computing platform and infrastructure for building, deploying, and managing applications and services through a global network of Microsoft-managed datacenters.
$29
per month
Talkdesk
Score 8.1 out of 10
N/A
Talkdesk® supports CX with Customer Experience Automation (CXA), using AI agents to replace manual workflows. Powered by the Talkdesk Data Cloud, CXA delivers real-time context and fast deployment—to transform CX without a rip-and-replace.
$85
per month per user
Pricing
Google App Engine
Microsoft Azure
Talkdesk
Editions & Modules
Starting Price
$0.05
Per Hour Per Instance
Max Price
$0.30
Per Hour Per Instance
Developer
$29
per month
Standard
$100
per month
Professional Direct
$1000
per month
Basic
Free
per month
Digital Essentials
$85
per month per user
Voice Essentials
$105
per month per user
Elite
$165
per month per user
Elite
$165
per month per user
Industry Experience Clouds
$225
per month per user
Offerings
Pricing Offerings
Google App Engine
Microsoft Azure
Talkdesk
Free Trial
No
Yes
Yes
Free/Freemium Version
Yes
Yes
No
Premium Consulting/Integration Services
No
No
Yes
Entry-level Setup Fee
No setup fee
No setup fee
Optional
Additional Details
—
The free tier lets users have access to a variety of services free for 12 months with limited usage after making an Azure account.
*Talkdesk also offers per hour login consumption pricing and concurrent pricing. Prices are based on a minimum 3 year commitment to these Editions. Additional telco and usage fees not included. Due to foreign exchange rate approximation, list price is not the exact price that will be quoted.
Compared with Microsoft Azure, Google App Engine requires a more complicated development environment setup. It's not as simple as using Visual Studio 2015 with Azure SDK. There are multiple IDE on the market to choose from for developing apps for Google App Engine. JetBrains …
If you have a small team which is also responsible for development of the product then surely go for it. And if you have a larger team with dedicated person to take care of deployments. Go for cheaper options such as compute engine or AWS (be sure to do your research on pricing …
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 …
I think that Microsoft and Amazon are simply investing more in their offerings, and there are a bunch of cool PaaS solutions out there as well. Google App Engine is solid, and is probably the right choice for some projects. But ultimately one should evaluate each platform …
We have settled with Microsoft Azure considered its effective administration and the ability to data visualization and analysis, together with the top-notch security/stability.
We use a combination of Nextiva and Talkdesk. We've found that Nextiva works well for general soft phone usage vs Talkdesk which is best from a support standpoint
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.
Azure is particularly well suited for enterprise environments with existing Microsoft investments, those that require robust compliance features, and organizations that need hybrid cloud capabilities that bridge on-premises and cloud infrastructure. In my opinion, Azure is less appropriate for cost-sensitive startups or small businesses without dedicated cloud expertise and scenarios requiring edge computing use cases with limited connectivity. Azure offers comprehensive solutions for most business needs but can feel like there is a higher learning curve than other cloud-based providers, depending on the product and use case.
If I was building a contact center from scratch with the intent of integrating AI features into my operations, Talkdesk would be a top choice. If you do not plan on integrating AI, you might find a lot of Talkdesk's offerings extraneous. Talkdesk's Copilot (real-time agent assistant, summarization, etc.) is very accurate for shorter calls. We have an ATT that is much higher than their customer base average, and the summary can start to become less succinct the longer the call goes on. We've noticed the same for automated QA scoring. This is more of a limitation of AI in general, rather than for Talkdesk itself.
Microsoft Azure is highly scalable and flexible. You can quickly scale up or down additional resources and computing power.
You have no longer upfront investments for hardware. You only pay for the use of your computing power, storage space, or services.
The uptime that can be achieved and guaranteed is very important for our company. This includes the rapid maintenance for security updates that are mostly carried out by Microsoft.
The wide range of capabilities of services that are possible in Microsoft Azure. You can practically put or create anything in Microsoft Azure.
Talkdesk excels at reporting. It offers a wide range of reports, such as Aux, AHT, and productivity reports, which are great for monitoring performance.
Talkdesk has speech-to-text analytics. This is an AI transcript system. The AI detects speech and transcribes it.
Talkdesk is easy to integrate with other apps. Such as Calabrio and Zendesk.
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)
The cost of resources is difficult to determine, technical documentation is frequently out of date, and documentation and mapping capabilities are lacking.
The documentation needs to be improved, and some advanced configuration options require research and experimentation.
Microsoft's licensing scheme is too complex for the average user, and Azure SQL syntax is too different from traditional SQL.
From experience, customer service is terrible, we've had 5 account executives over 18 months, extremely difficult to get timely answers to pressing issues.
Integration with other tools, such as ServiceNow, is not truly integration (in my opinion). There was a marked difference between what the salesperson communicated during the evaluation period and what we actually got once we purchased and implemented the product.
We continue to have stability issues which force our agents to restart the Talkdesk client. I frequently receive vague error messages ('something went wrong') that can be frustrating as there's no actual detail to what happened. To be fair, it has improved since we implemented the tool, but if you were to ask our agents what frustrated them, Talkdesk would be at the top of their list.
Being a multi-channel platform was one of the things that drew us to Talkdesk; however, the chat channel lags way behind voice in customization and reporting.
Lack of training resources. The 'Talkdesk Academy' is often very out-of-date. Would be nice to have actual webinars or online training (even paid training) for various functions of the tool like reporting, WFM, IVR, etc.
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.
Moving to Azure was and still is an organizational strategy and not simply changing vendors. Our product roadmap revolved around Azure as we are in the business of humanitarian relief and Azure and Microsoft play an important part in quickly and efficiently serving all of the world. Migration and investment in Azure should be considered as an overall strategy of an organization and communicated companywide.
One of the best tools our there to tackle alot of our needs or issues within the organisation's and is value for money as you find alot of the features already in bedded and the Ai features are user friendly no need for additional training and Talk desk support when any issues arise is amazing
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
As Microsoft Azure is [doing a] really good with PaaS. The need of a market is to have [a] combo of PaaS and IaaS. While AWS is making [an] exceptionally well blend of both of them, Azure needs to work more on DevOps and Automation stuff. Apart from that, I would recommend Azure as a great platform for cloud services as scale.
Talkdesk is helpful because we use it to receive calls in our BPO. Not only do we track live ques and statuses from agents, but we also receive feedback from our assessors through the talk desk as well as coaching, and it also stores customer contact data; I can track all my calls, and It records all the calls so we can come back to review them. You can also listen live and track your daily productivity. You can change your aux statuses very quickly, and there was an update talk desk that allows you to queue another status while you are on a call or after-call work, which is a great feature.
Talkdesk is very handy but, sometimes we do face issues were the system can just kick you out and not be able to do calls or receive calls but, what I like about the system once you start refreshing or troubleshooting, everything becomes normal it is a unique system and very modern we don't usually have system issues with Talkdesk.
reports are good until a report is a big one in size then the wait is longer and some call reports delay by an hour or so which is not ideal as we pull these hourly and need them from Work force management perspective and Quality reports are perfectly fine
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.
We were running Windows Server and Active Directory, so [Microsoft] Azure was a seamless transition. We ran into a few, if any support issues, however, the availability of Microsoft Azure's support team was more than willing and able to guide us through the process. They even proposed solutions to issues we had not even thought of!
If Talkdesk had a dedicated phone support line I would have given this rating an overall 10. Their knowledge base is absolutely HUGE and at times very helpful. It's easy to search through and their customer support chat system works perfectly fine, but there are just some times that you need to speak to a human on the phone to ensure you are always on the same page.
The training that was given to us was very smooth and professional. I give my trainer 10/ 10 rate the training was so smooth and very helpful she would make sure we also watch videos of how to use the system which made it very easier for us and what was interesting it is because, the system is also easy.
Nothing is perfect!! Needing the ability to repeat the training so everyone was on board was important. Not real sure how many people had to repeat the training as they trained on their own and given 30 minutes at a time.
As I have mentioned before the issue with my Oracle Mismatch Version issues that have put a delay on moving one of my platforms will justify my 7 rating.
We were very satisfied with the implementation of Talkdesk. The team was able to gather all the data and information about the system we had in place at the moment and delivered us a Talkdesk plan that suited our needs. We had a few calls after implementation where our questions were answered and gave us the confidence to continue using the system.
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.
As I continue to evaluate the "big three" cloud providers for our clients, I make the following distinctions, though this gap continues to close. AWS is more granular, and inherently powerful in the configuration options compared to [Microsoft] Azure. It is a "developer" platform for cloud. However, Azure PowerShell is helping close this gap. Google Cloud is the leading containerization platform, largely thanks to it building kubernetes from the ground up. Azure containerization is getting better at having the same storage/deployment options.
Talkdesk is used to take inbound and outbound calls, which helps improve customer experience. It also provides evaluations through quality management. Talk desk scores are sometimes behind, but they still work well regarding taking and receiving calls. Some agents blame the Talk Desk because they lack knowledge of how to use it.
talk desk has helped us massively with flexibility of one system giving us all the relevant information we need to be able to drive improvement and also good service from work force management to quality improvement to the reporting of the work and inputs going in and assess outputs to determine the success of our work and remaining development areas
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.
For about 2 years we didn't have to do anything with our production VMs, the system ran without a hitch, which meant our engineers could focus on features rather than infrastructure.
DNS management was very easy in Azure, which made it easy to upgrade our cluster with zero downtime.
Azure Web UI was easy to work with and navigate, which meant our senior engineers and DevOps team could work with Azure without formal training.
Reduced hold times with callback feature = better CX
Easy transfer option between teams where we can talk rep-rep first before bringing the caller in = less repeated information the customer has to provide = better CX
Modified call dispositions allows for better call management & organization = less work on our end!
