Google Cloud Reviews & Product Details

One thing I highly give thumbs up about Google Cloud Speech-to-Text is how easy to use, this means everyone in my organization is able to use this tool at their own convenience. It also simple and easy to convert our voice to text making it a very top-notch and game-changer transcription platform. It's a reliable and trustworthy tool that helps us to recognize speech and transcribe it from audio to text. This tool has eliminated most of our communication barriers and enabled us to collaborate and communicate in real-time with all our team members. It's also a very accurate tool which gives us a high transcription accuracy.

Sometimes especially when we are connected to poor internet it affects the speed of Google Cloud Speech-to-Text. Overall I am pleased and happy every aspects of this tool.

We use Google Cloud Speech-to-Text to recognize industry specific words and phrases fast and accurately. We also use this tool to transcribe audio/video with close human accuracy. It also helps us to transcribe conference calls, interviews , podcast and meeting records into many languages and dialects helps to eliminate communication barriers. This boots collaboration and teamwork even in remote areas.

Duet AI helps to integrate everything with me and my team in our organisation. It helps me to improve our team work.

Nothing to dislike for this Duet AI everything is very good

It integrates me and my team in a easy manner and this Duet AI meets our requirements and very helpful tool for the team work.

Google cloud run is helpful for the criticle business problem related to infrastructure and the complexcity. is it one of the best serverless container that manager there cost automatic efficentyly, it is easy to use and easy to integrated with the application of cloud.

the plateform is little slow and there are not alternatives for controling the fundamental infrastrucure 1)and off course the price point cloud run is user friendly but they have some issue with those data who's not stored on cloud.

they solve the main problem that to manage the large amount of data set and manage the infratructure basebase from the cloud and the solve the container management

Google Cloud Run is allow for the developers to deploy and containerisaztion application without worrying about the managing server infrastruction, they allow to manage the large amout of database from the cloud within a second and its abstract the underlying infrasturcture manking it easy to focus coding and deploying the application it is easy to implementation to integration with the appliation

Due to serverless services, it is less prefered to storing the data for long time -GCP has less number of feature and services compare to AWS

they solve the problem -managing containerized microservices -serverless so i can operate it from anytime and anywhere, according to my need with proper sync speed

My favorite part is that with the introduction of Google Cloud Vision API, it has helped various government-related websites and secured platforms to integrate video recognition and face recognition in order to be more secure and provide security to the customers and safeguard their data. It has also helped many private businesses with video and face recognition features to build more security in their platforms and apps. I am a part of a company that works in payment gateway services and it has helped our company in the integration of face recognition features and video recognition to be more safe and secure our customer's data. It has also helped in detecting labels from images to get the required information. It has helped in optical character recognition in scanned documents to verify it. The ease of use and implementation of images are fast and it can provide alot of information based on the image. We are currently exploring its full potential and using it daily to improve the efficiency of our business.

No limitations or disadvantages according to me, because it has helped in image label detection, provides safe search, and integrates facial recognition and character recognition features to provide security and safeguard the personal data of customers.

It has helped our business in implementing facial recognition features and character recognition from the images. It has also helped in image label detection and getting the required information from the images. It has helped in building more data security with document recognition features in order to do business and provide services safely to customers.

I had looked at the tutorials on Vision API available. I felt the tutorials were easy to follow.

Since image data is huge in size, it gets difficult to build solutions on custom large image datasets.

I had built a solution on Image Classification with Vision API through their tutorials. It helped me learn how to engage with Vision API.

we run our applications in container with google cloud run it helps us in testing our codes effortlessly. It can be easily used and integrated with any enviornment . its implementation is also easy because it is an serverless application. It supports mostly all the languages for development which is a very big plus. It saved us from our biggest pain point that was deployment.

Its helping us in improving our efficiency and get better results. personally i dont face any issues with this.

we use it with gcp and gets amazing results deployment has become easy and now we can test deploy and run codes with it in any language without any issues. The batch processing is also a feature we use very often.

Besicaly Google cloud run is easy to use for deployment stretgy for the web developers and for the integrated application, it is seamless serverless application to manage there large and complex infrastructure, there are many deployment features but there smoothly server is being cool for the developers

We can't upload whose data who already uploaded on the server, hardly manage there infrastructure when we upload multiple file at a time and it's being bit slower then the other server

Overall Google cloud run is solve the large infrastructure cloud server management and it's increasing the time to manage there storage from the integrated application

Ive had a good overall experience ising Google Cloud Run. For container-based apps, the platform offers a serverless design, which freeing our team to concentrate on development and releasing code rather than managing servers or scaling. When creating cloud-native apss the multi-language support and integration with other services come in handy. Enables us to deploy our YAMLs without having to spin Kubernets infrastructure. Easier intergration makes it easier for me to inegrate with other GCP services like cloud SQL and many more. Support is also another added advantage so user friendly and resmponise.

Ease of use and seamless integration are some of the best aspects of this tool. So far no disadvantages.

This is a [powerful tool for running containerized . With quick and easy deployment helps us to focus on coding and leave the worry of the underlying infrasructure. Seamless integration with Google Cloud Services are great for providing great eperience.

Google cloud run is one of the best cloud software for storage. It is reliable and trustworthy.

Privacy issue. If we upload any file, we can't know who can access the file.

The main problem of Google Cloud Run is File sharing, anyone can access file in the organisation easily.

I like the best thing about Google cloud is that it stick to their trust principles of not sharing data with anyone,not use for advertising. Follow government latest transparency rules. INFRASTRUCTURE AVAIALBAILITY is one of the feature which attracts me the most . Certifications and resources are available to support the new users.

Language of Google cloud must be simple for those who don't have computer background knowledge,also there should be more videos in regional languages to reach out to mass of India.

Go sustainable is the Mantra of the Google cloud which I like the most. Google currently decarbonise its digital infrastructure. A GOOGLE CLOUD EXPERT always available for you to tackle your issue and help you out in finding a solution of every thing .

For me the best thing was that it is very user friendly and easy to understand , as well as very honest to their customers .Found very trustful for me .we must use it for making our life more secure in reference of our data being safe .

It is costly for me I think especially for high -trafic applications , this may be improved in future for sure .

Google cloud Access Transparency is using AI For security and it is benefiting me as my data is getting stored in a secured platform.

Lightweight and quick response. Mostly i like terminal section.

Actually, Nothing i like all the features and functions

I used for building my knowledge

The interface is very easy to learn as well as versatile, which gives us options to select a vast selection of fonts and colors.There are various options of visual presentation of data and it can easily refresh data from different sources!

Sometimes it gets slow with large data as well as working for lengthier hours.Building graphs from scratch is difficult as it has some limitation in blending data from different sources.

this Studio is great for creating simple graphs out of larger datasets that are continuously being updated. there are formula functions to help with manipulating data and get the data that users need, even though it can be difficult and time-consuming for beginners, but with experience this platform could be of great help.

It manages all kind of operational tasks automatically. It supports most of the database vendors like MySQL, PostgreSQL, SqlServer etc. Also all backups are done automatically with easy failover

You can not have multi-master replicas. Also, it does not have the ability to run in different regions to have high availability. Its cost is high compare to self managed sql.

It reduces the operational load from DevOps. It also supports terraform, so it can easily be integrated in DevOps pipeline. All security features can also be taken care by cloudSQL.

Google cloud run is following for the deployment stretgy for the application its is ease to use for the application support which is following numbers of features that integrated fot the customer support,

Google cloud run is quite friendly use for those application but not good for the many feature where we are not stored those data which already not in the cloud

Overall they support to integrate the infrastructure of the system and they help to store the data which follows the process os the application which can integrated in the system

Google Cloud Deployment Manager makes it so simple to deploy a server instance. While previously we had to pay set-up fees to server providers for the same task, now it can be done via a user-friendly click-to-deploy admin panel. SSH can be accessed easily, and instances can be stopped and deleted within clicks.

Customer support response time should be improved for a better experience, as the user has to rely primarily on the knowledge base, which can be a lengthy process if the issue is yet to be identified.

Google Cloud Deployment Manager eliminates the need for having a middle-man to deploy your server. You create an instance, stop it, delete one, and recreate another without any technician costs per se.

These aren't just about disaster recovery – they're about peace of mind. Ease of use shines, with intuitive setup and management. I always implemented their service to ease my streamless sync between different apps. A breeze. Customer support is top-notch, and always ready to lend a hand. I use it in my day-to-day life for office and personal work. Set it and forget it, knowing your data's safe. The feature set is expansive, covering VMs, databases, and more, with seamless integration into existing workflows. Its elegant simplicity at its finest, ensures business continuity without drama. Google Backup & DR isn't just a backup plan, it's an investment in confidence.

Limited free storage can quickly shrink with photos and large files, forcing pricey upgrades. File versioning feels hidden, making recovering older edits a chore.

A seasoned Google Drive user, I still find it invaluable! My college notes, office documents, and even my website all call it home. Sharing with classmates and colleagues is a breeze, and free website hosting is a bonus. It's not perfect, but for a one-stop shop for storage, sharing, and even web creation, Google Drive keeps me going!

- No dependency on a single query langauge - No need to worry about physical servers as all are available on cloud - Scalable enough - using the google services are very easy - Features are also available

- import from pre existing language is not that much accurate - high storage requires high costing

- I have to google cloud sql to manage my multiple data of different departments. - No need of storing it locally, all time available on cloud - Managing the data becomes so easy that a proper structured data is available

Google developes and manages kubernetes project so compare to other providers it supports longer LTS version and its integration to other google cloud service is also better. Its UI is also very easy to use compare to ther providers. It provides managed services so it is very quick to implement in your project.

Only downside of using GKE is its customor support. It is slow compare to other providers.

Kubernetes provides ability to create cloud agnostic applications which can be deployed on any cloud which supports kubernetes. And amongst them best one is Google Kubernetes Engine.