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Google

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86,580 reviews
  • 387 profiles
  • 309 categories
Average star rating
4.5
#1 in 131 categories
Grid® leader
Serving customers since
1998

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Google Ads

2,044 reviews

Google Ads is an online advertising platform developed by Google that enables businesses to display brief advertisements, service offerings, product listings, and videos to web users. These ads can appear across various Google properties, including search results, partner sites, mobile apps, and videos. Operating primarily on a pay-per-click (PPC) and cost-per-view (CPV) pricing model, Google Ads allows advertisers to target specific audiences based on keywords, demographics, and user behavior. Key Features and Functionality: - Diverse Ad Formats: Offers text ads, image ads, video ads, and shopping ads, allowing businesses to choose the format that best suits their marketing objectives. - Targeting Capabilities: Enables precise targeting through keywords, location, language, device type, and audience interests, ensuring ads reach the most relevant users. - Performance Tracking: Provides detailed analytics and reporting tools to monitor ad performance, measure return on investment (ROI), and optimize campaigns accordingly. - Budget Control: Allows advertisers to set daily budgets and adjust bids, offering flexibility to manage advertising expenses effectively. - Integration with Google Services: Seamlessly integrates with other Google services like Google Analytics and Google Merchant Center, enhancing campaign management and performance insights. Primary Value and User Solutions: Google Ads empowers businesses to increase their online visibility, attract potential customers, and drive sales by placing their offerings in front of users actively searching for related products or services. By leveraging Google's extensive network and advanced targeting options, advertisers can reach a broad yet relevant audience, leading to higher engagement and conversion rates. The platform's comprehensive analytics enable continuous optimization, ensuring marketing efforts are both effective and cost-efficient.

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Video AI

55 reviews

Video AI enables powerful content discovery and engaging video experiences.

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Google Cloud Identity-Aware Proxy

55 reviews

Cloud Identity-Aware Proxy (Cloud IAP) controls access to user cloud applications running on Google Cloud Platform.

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Chrome Remote Desktop

53 reviews

Chrome Remote Desktop is a Google Chrome extension that allows users to remotely access other computers.

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Google Cloud Deep Learning VM Image

52 reviews

Deep Learning VM Image Preconfigured VMs for deep learning applications.

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Google Apps Script for G Suite

50 reviews

Google Apps Script is a JavaScript platform that provides easy ways to integrate with and automate tasks across Google products.

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Google Cloud AutoML

49 reviews

Google Cloud AutoML is a suite of machine learning products designed to enable developers with limited expertise to train high-quality custom models tailored to their specific business needs. By leveraging Google's advanced transfer learning and neural architecture search technologies, AutoML simplifies the process of building, deploying, and scaling machine learning models, making AI more accessible to a broader audience. Key Features and Functionality: - Automated Model Training: AutoML automates the selection of model architecture and hyperparameter tuning, reducing the need for manual intervention and specialized knowledge. - User-Friendly Interface: The platform offers an intuitive graphical interface that allows users to upload data, train models, and manage deployments with ease. - Versatile Model Types: AutoML supports various data types and tasks through specialized services: - AutoML Vision: For image classification and object detection. - AutoML Natural Language: For text classification, sentiment analysis, and entity recognition. - AutoML Translation: For creating custom translation models between language pairs. - AutoML Video Intelligence: For video classification and object tracking. - AutoML Tables: For structured data tasks like regression and classification. - Seamless Integration: AutoML integrates with other Google Cloud services, facilitating efficient data management, model deployment, and scalability. Primary Value and Problem Solving: Google Cloud AutoML democratizes machine learning by enabling users without deep technical expertise to develop and deploy custom models. This accessibility allows businesses to harness the power of AI to solve complex problems, such as improving customer experiences through personalized recommendations, automating content moderation, enhancing language translation services, and gaining insights from large datasets. By reducing the barriers to entry, AutoML empowers organizations to innovate and stay competitive in their respective industries.

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Google Vault

48 reviews

Google Vault is a solution designed to allow users to retain, hold, search, and export data to support their organizations archiving and eDiscovery needs.

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Google Cloud Deep Learning Containers

48 reviews

Preconfigured and optimized containers for deep learning environments.

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Vertex AI Search

48 reviews

Vertex AI Search and Conversation is a comprehensive suite within Google Cloud's Vertex AI platform, designed to empower organizations to build and deploy advanced search and conversational AI applications. By leveraging Google's cutting-edge machine learning models, this suite enables the creation of intelligent, context-aware search experiences and natural-sounding chatbots that can interact seamlessly with users. These tools are tailored to enhance information retrieval and user engagement across various enterprise applications. Key Features and Functionality: - Vertex AI Search: - Semantic Understanding: Utilizes vector-based semantic search to comprehend user intent, delivering more relevant and contextually appropriate results. - Multi-Turn Search: Supports follow-up questions without restarting interactions, facilitating a more natural and efficient search experience. - Data Integration: Connects seamlessly with structured and unstructured data sources, including enterprise databases and third-party applications, ensuring comprehensive search capabilities. - Customization: Offers extensive customization options, allowing organizations to tailor search experiences to their specific needs. - Industry Optimization: Provides specialized solutions for sectors like retail, media, and healthcare, enhancing search relevance and user engagement. - Vertex AI Conversation: - Natural Language Processing: Facilitates the creation of human-like chatbots and voicebots capable of understanding and responding to user queries in a conversational manner. - Integration with Enterprise Data: Allows chatbots to access and utilize enterprise data, including websites, documents, FAQs, and emails, to provide accurate and contextually relevant responses. - Actionable Interactions: Enables chatbots to perform tasks on behalf of users, such as booking appointments or making purchases, by integrating with enterprise workflows. - Customization and Control: Offers tools to define conversation flows, tone, and data access, ensuring that the chatbot aligns with organizational requirements and user expectations. Primary Value and User Solutions: Vertex AI Search and Conversation addresses the critical need for efficient information retrieval and user engagement in enterprise settings. By providing tools that understand user intent and context, organizations can transform traditional keyword-based searches into dynamic, conversational experiences. This leads to: - Enhanced User Experience: Users receive more accurate and contextually relevant information, reducing the time spent searching and increasing satisfaction. - Operational Efficiency: Automating routine inquiries and tasks through conversational AI reduces the workload on human agents, allowing them to focus on more complex issues. - Personalized Interactions: The ability to tailor search and conversation experiences to individual users fosters deeper engagement and loyalty. - Scalability and Security: Built on Google's robust infrastructure, the suite ensures scalable performance and adheres to industry compliance standards, safeguarding enterprise data. In summary, Vertex AI Search and Conversation empowers organizations to build intelligent applications that not only retrieve information efficiently but also engage users in meaningful, context-aware interactions, thereby driving business growth and customer satisfaction.

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Google Reviews

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Profile Name
Star Rating
63501
19383
2864
509
322
Lury R.
LR
Lury R.
Web Developer @ Suvidha Foundation | Java, C, AutoCAD
09/29/2026
Validated Reviewer
Review source: G2 invite
Incentivized Review

Powerful, Google-Backed Search with Full Control Over Your Index

Its ability to harness Google’s core search algorithms while still giving you complete authority over the scope of the search index is what stands out to me.
Rahul A.
RA
Rahul A.
Assistant Manager at Dalmia Cement
09/29/2026
Validated Reviewer
Review source: G2 invite
Incentivized Review

Review for Google Programmable Search Engine

As the Brand name Google I fully trust on it, secondly I can do custom search engine for my website, can design according to my need, etc
SM
Sana M.
Content Moderator at Accenture
09/29/2026
Validated Reviewer
Review source: G2 invite
Incentivized Review

Incredible LLM Training Speed and Efficient Scaling on v5p

The training speed is absolutely incredible. We shifted some of our larger LLM training workloads to the v5p chips, and the performance leap over older generations was immediately noticeable. Pod scaling is highly efficient, and the inter-chip interconnect bandwidth keeps latency incredibly low during massive distributed jobs. It significantly cuts down our time-to-market for new model iterations.

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What is Google?

Organize the world’s information and make it universally accessible and useful.

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Year Founded
1998
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NASDAQ:GOOG