Google Cloud Reviews: 4.4/5 — Solid Choice

Google Workspace revolutionizes collaboration in the digital workspace. Its seamless integration of Gmail, Google Drive, Docs, Sheets, Slides, and other tools creates a unified platform for teams to work together effortlessly. The real-time editing feature allows multiple users to collaborate on documents simultaneously, promoting productivity and reducing the need for constant email exchanges. Moreover, the extensive range of third-party integrations enhances functionality, catering to diverse business needs. With its intuitive interface and cloud-based accessibility, Google Workspace empowers teams to communicate, collaborate, and innovate from anywhere, anytime.

Google Workspace lacks some advanced features compared to competitors. Navigating its extensive features may be overwhelming initially. Occasional service disruptions and connectivity issues can disrupt workflow.

Google Workspace solves various collaboration challenges faced by modern businesses. By providing a unified platform for communication and productivity tools, it streamlines workflow and enhances team collaboration. Its About, Realtime Collabo, Flexibility, Producitvity, File Storage....

It would be a great platform with user-friendly ui.

No dislike because I haven't faced any problem while using the dialogue flow.

I have used fo creating a chat bot , it is Very useful and dialogue flow is key reason for standards.

I have been using Google Workspace for the last 4 years for my startup. This tool is very easy to use because we all are aware of Google Products like Gmail, Sheets, Slides, Docs and Drive. These tools make our work very handy and collaborative with other teammates. So, on POV this is a useful tool for me.

Google Workspace is no doubt a useful tool, but there are some limitations for product management because with Google Workspace I can't manage the Product & Project management. This Google Workspace is a bit expensive.

Google Workspace is solving multiple problems under one roof we can use Gmail for emailing, Calendar for Invites and Agenda, Docs for Documentation and presentations, manage Spreadsheets for Excel work and do a video conference with Google Meet.

It collects the data as soon as possible compared to other SIEM tools.

Right now i didn't find any flaws in the chronicle.

Security teams often struggle to manage the massive volume of data generated from various sources like firewalls, endpoints, and applications. This makes it difficult to identify and investigate potential security incidents effectively.

I like how concise it is and how it gives me different routes to the same location.

It does not mention cameras or police around the area.

Helps me avoid traffic so it saves time.

Duet AI work very seamlesly with GWS. It has been very easy to connect, create and colaborate.

There is nothing which I do not like but there can be an improvment in speed.

Streamlined Workflow,Unified User Experience,Increased Collaboration,Enhanced Efficiency...

Get environmental assets to market faster by digitizing and automating the measurement, reporting, and verification process.

It’s not just phones that are killing our planet, but the web itself–the largest CO2 producer on the planet after the United States, China, and India. Google is a main part of the Internet.

It provides visibility for each customer into the climate impacts of products purchased from Google Cloud so that customers can report on and take action to reduce those impacts

Google workspace's all application work on autosave model which is help in reduce file saving time and interface of application is very user friendly where easily user get it learn and work on it more effectively. We are easily integarte with other platform. And google customer support is amazing. They are very friendly and solving issues very effectively.

I feel google workspace take sometime more time to load the files. We can make it fast.

Previouly we are using microsoft Suite of office work, during working time if system is switched off due to certain reason like electricity or system hang, in this case our data is not saved on which we are working, But in Google workspace file or data is autosaved that saved our lots of time.

The ease of accessibility and use that it provides along with the sharing options which makes remote work much convenient

Nothing as such. My experience with google workspace has been absolutely lovely. I haven't found any problems to comment on.

It is making connectivity possible which makes remote work extremely convenient and stress free.

easy convenient and flaxible to use it . it has lots of functions to use it. nice customer support

depends on the network you using but sometimes it gets take time to gert relaod

It helps build quickly, securely, and cost effectively with the next generation of modern infrastructure designed to meet specific workload and industry needs

Google Workspace provides a solution that's very convenient and easy access to all users. All is cloud-based and collaboration betweens users is smoother.

The only downside of Google Workspace is the the familiarity of the users esp. to those companies who just migrated from Microsoft or others. It takes some time to study and familiarize the features Google Workspace offers. After getting used to, the convenience will come after.

Google Workspace provides smooth collaboration between users for our company. It saves us time, and improves our work efficiency.

Good format,nice layout,easy to execute.serverless architecture allows for quick and scalable data processing, enabling SQL queries on terabytes in seconds and petabytes in minutes

the lack of shortcuts to move between tabs, slower error detection, limited tab title display, inefficient search pane, and a less user-friendly interface with larger icons and less distinguishable colors

Scalability, cost efficiency ,Reliability ,Real-Time Analytics, Serverless Architecture.

The best thing about Google Workspace is that it has some of the most efficient tools one have free of charge or at low cost. Compared to other software, Google Workspace is very compatible with Chrome browser with ease of use and efficiency. It can be best set of Office suite applications available apart from Microsoft Outlook features.

At the moment, I can't find anything on Google Workspace I can comment on because it provides everything as a collaborative workspace and office suite.

We are reselling Google Workspace as the Third third-party reseller to clients and customers who may need digital office suite products such as Google Workspace. And we are quite pleased that Google was able to develop such a product that benefits people especially when writing online documentation and willing or other office-related work.

1) Ease of usage - a very good simplistic user interface 2) Scalability -Can scale up to use petabytes of data 3) Speed - It has a greate speed in dealing with really massive datasets 4) Good customer support - Any query with respect to Bigquery usage is answered swiftly 5) Ease of Integration - BigQuery connectors allow easy transfer of data from one DB to the other. 6) Frequency of Use - Due to a higher frequency of use, Bigquery gives a comparatively higher edge in terms of cost management. 7) Ease of Implementation - Implementing SQL queries on Bigquery is a cakewalk

1) Data Ingress and Egress operation costs 2) Complex pricing structure 3) Data privacy and compliance

Bigquery is solving data processing challenges majorly scalable data warehousing, high performance analytics, simplified data management and so on. Its benefitting me by helping create the data lake which eases my task

I have vertex AI for NSFW image/video content detection at ShareChat. I am amazed by the ease of data processing, model training, and deployment using vertex AI vision framework. There are many pretrained models for vision which are available for exploratory experimentation. I find Vertex's generative AI framework quite appealing. There are all popular google's foundation models like Gemini,ImagGen are availabe for us to tune on our downstream task. The development and deployment is also quite easy. Particulary, the MLOps provided by Vertex AI is the best of all. It helps orchestrating workflows,track metadata to ML models, identify best model for use cases, train them, deploy and maintain all in a compatible flow. It has large number of features, which is very nice. I have used it frequently.

* Vertex AI customer support is very bad. I have had instances where I needed help with the support team but was not received on time. * Its difficult to transfer preexisting workflows to vertex AI. * Debugging in vertex AI can also be improved. * Integration is not that easy in vertex AI * Implementaion of custom models and complex workflows are not that easy as well.

Not Safe For Work Content Detection System Visual Question answering for ecommerce in fashion

Ease of use ease impementation Learning new things

Translating subtitles can present various challenges for translators

translate media on site is to be sensitive and appreciative of cultural nuances

I liked time efficiency through automation tool

In my understanding Nothing . till now

It used to train and deploy ML models

This google cloud help us for various task like sentiment analysis, entity Regocnition, text anotation, as a developer I don't to do much more code for our NLP project this API help to perform these task very easy with high accuracy.

Some time fail to define tha polarity of tipical word or other language irrelevant words.

I worked on the Course recommendation project using NLP with our team We used Google cloud NLP API and this help very well it remove all stopper and create connection between course and rating of course and help to create the model with accuracy of 94 percent.

Google Cloud BigQuery stands out for its remarkable speed and scalability. It's like having a supercharged engine for data analysis, allowing you to query massive datasets in seconds, which is a game-changer for businesses dealing with large volumes of data.

One thing that can be a bit frustrating about Google Cloud BigQuery is its pricing structure. While it offers great performance and scalability, the costs can add up, especially for larger datasets and complex queries

Google Cloud BigQuery is a lifesaver for big data analytics, solving numerous challenges and bringing immense benefits to my work. Firstly, it handles massive datasets with lightning speed, allowing me to query and analyze huge volumes of data in a fraction of the time it would take with traditional databases

Vertex AI is basically google's collection of all AI and ML services in one place. You can use it for ML models and Gen AI applications. most of the services are very easy to use and are self explanatory. And talking about frequency of use, I have used it about 3 or 4 times , all in my projects. Since it is a relatively new product, its customer support is not that great but you can get all you need to know, from online forums.

One thing which I dont like about Vertex AI is that it takes a good amount of time to set up. for example, if you want to change your model from locally deployed to production environment, you need to tweak the settings to get it to work but once it is done, it is low maintainence. So the ease of integration could be easier, but again, production environments are generally difficult to configure. Customer support was okay.

Since Vertex AI is Google's All in one solution for all ML and AI tasks, it has actually helped me and the best part is that whatever you need, it is probably already in it.

It's easy to use Dialogflow through the terminal as well as through GUI.

It's not integrated with Google Cloud Console and has its own billing.

Building Question Answering chatbot

Data storage and pre process, Google cloud BigQuery is a platform which is reliable and storage the serverless database for storage of data and process the data, It is managed the multiple query at the same time and complex data. They are many feature in the GCP to use frequently for the web developers

I didn't find any cons about the Google cloud BigQuery expect the UI. Whenever i do run multiple query from the different database it will be lagging

We use the Google cloud BigQuery to process the huge customer and data for the analysis. It save lot of time by running the verious query at the same time from different different project simultaneously and efficiently

Google access transparency provide logs and details which much more relevant and good information related to the product.

There is nothing to dislike from Google cloud access transparency

Monitoring the data and product

The Vertex AI workbench provides a miriad of options to customize your workbook according to your needs, it is easy to allocate and implement. It runs on Jupyter environment hence has optimized performance. It is also easy to integrate with google services like Cloud Bucket or Natural Language API.

There is a minor issue while restarting the kernel which causes a slight inconvenience, but it can be avoided by carefully running the cells diligently.

I think it provides a great platform to play with your ML skills as you can easily create a data pipeline by the resources available, also you can get a hands on experience from the existing notebooks present there.

The translation models have eased communication in the enterprise. It can collect and orchestrate data from various sources to suit website configurations. It has simple user interface and intuitive dashboard efficient for new users.

It has accomodated set plans and implemented set tasks as planned.

This is the real cloud translation solution that suits enterpise data management projects. It helps teams to collaborate effectively at a convenient pace. The translation tools keeps information secure and prevents it from malware attacks.

It is extremely easy to allocate and modify the CPU allocation, it offers various versions of boot disks, GPU's external Hard Drives, and amy possible modification one might need while allocating a VM, via the cloud console.The customer support is extremely helpful, they respond almost immedeately. You can integrate it with any technology like terraform or kubernet and use it to your satisfaction.

Honestly, there is nothing to dislike in this except for unavalibility of certain zones at times of high traffic but that is not the highlighted issue as it is trivial for any cloud product.

There are countless benefits of the Google Compute Engine, off the top helping small buisness migrate to a hassle free cloud environment that helps them focus on their buisness strategies better, it offers secured platform to run your applications, computation intensive programs at a reasonable cost. You only pay for what you use so it becomes affordable as well, which makes it more attractive to users.

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.

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.

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

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