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Google

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85,486 reviews
  • 369 profiles
  • 302 categories
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4.5
#1 in 136 categories
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Serving customers since
1998

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Google Ads

2,041 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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Google Cloud Tools for PowerShell

7 reviews

Google Cloud Tools for PowerShell lets you script, automate, and manage your Windows workloads running on Cloud Platform. Using PowerShell’s powerful scripting environment, customize your cloud workflows using the Windows tools you're already familiar with.

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Cloud TPU v5p

7 reviews

Cloud TPU v5p is Google's most powerful and scalable Tensor Processing Unit (TPU) to date, engineered to meet the escalating demands of large-scale machine learning and generative AI workloads. Each TPU v5p chip delivers 459 teraFLOPS of bfloat16 performance and is equipped with 95 GB of high-bandwidth memory, facilitating data transfers at 2.76 TB/s. A single TPU v5p pod can interconnect up to 8,960 chips, enabling substantial scalability for complex AI models.

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Gradle App Engine Plugin

7 reviews

Gradle plugin to build and deploy Google App Engine applications

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Google Cloud Traffic Director

6 reviews

Service mesh is a powerful abstraction that's become increasingly popular to deliver microservices and modern applications. In a service mesh, the service mesh data plane, with service proxies like Envoy, moves the traffic around and the service mesh control plane provides policy, configuration, and intelligence to these service proxies. Traffic Director is GCP's fully managed traffic control plane for service mesh. With Traffic Director, easily deploy global load balancing across clusters and VM instances in multiple regions, offload health checking from service proxies, and configure sophisticated traffic control policies.

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Google Cloud Firewall

6 reviews

Scalable, cloud-native firewall service Fully distributed, cloud-native, firewall service delivers granular control, including micro-segmentation without network re-architecting.

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Gemma 3n 4b

6 reviews

Gemma 3n is a generative AI model optimized for deployment on everyday devices such as smartphones, laptops, and tablets. It introduces innovations in parameter-efficient processing, including Per-Layer Embedding (PLE) parameter caching and the MatFormer architecture, which collectively reduce computational and memory demands. The model supports audio, text, and visual inputs, enabling a wide range of applications from speech recognition to image analysis. Key Features and Functionality: - Audio Input Handling: Processes sound data for tasks like speech recognition, translation, and audio analysis. - Multimodal Capabilities: Handles visual and text inputs, facilitating comprehensive understanding and analysis of diverse data types. - Vision Encoder: Incorporates a high-performance MobileNet-V5 encoder to enhance the speed and accuracy of visual data processing. - PLE Caching: Utilizes Per-Layer Embedding parameters that can be cached to local storage, reducing memory usage during model execution. - MatFormer Architecture: Employs the Matryoshka Transformer architecture, allowing selective activation of model parameters to decrease computational costs and response times. - Conditional Parameter Loading: Offers the flexibility to load specific parameters dynamically, such as those for vision and audio, optimizing memory usage based on task requirements. - Extensive Language Support: Trained in over 140 languages, enabling broad linguistic capabilities. - 32K Token Context Window: Provides a substantial input context, allowing for the processing of large datasets and complex tasks. Primary Value and User Solutions: Gemma 3n addresses the challenge of deploying advanced AI capabilities on resource-constrained devices by offering a model that balances performance with efficiency. Its parameter-efficient design ensures that users can run sophisticated AI applications without compromising device performance or battery life. The model's support for multiple input modalities—audio, text, and visual—enables developers to create versatile applications that can interpret and generate content across various data types. By providing open weights and licensing for responsible commercial use, Gemma 3n empowers developers to fine-tune and deploy the model in diverse projects, fostering innovation in AI applications across different platforms and devices.

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Google Cloud Workflows

6 reviews

Workflows Combine Google Cloud services and APIs to build reliable applications, process automation, and data and machine learning pipelines. New customers get $300 in free credits to spend on Workflows. All customers get 5,000 steps and 2,000 external API calls per month, not charged against your credits.

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Google Cloud Datastore

6 reviews

Cloud Datastore is a highly scalable NoSQL database for your applications. Cloud Datastore automatically handles sharding and replication, providing you with a highly available and durable database that scales automatically to handle your applications' load.

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Google Cloud Phishing Protection

5 reviews

Google Cloud Phishing Protection is a comprehensive security solution designed to safeguard organizations from phishing attacks and malicious content. By leveraging advanced machine learning models and integrating seamlessly with Google Workspace applications, it proactively identifies and mitigates threats, ensuring a secure digital environment for users. Key Features and Functionality: - Advanced Threat Detection: Utilizes machine learning to analyze billions of threat indicators, effectively identifying and blocking over 99.9% of spam, phishing attempts, and malware before they reach users' inboxes. - Real-Time URL Scanning: Examines links within emails and documents, expanding shortened URLs and scanning images to detect malicious content, thereby preventing users from accessing harmful websites. - Spoofing Prevention: Detects and warns against emails that attempt to spoof employee names or originate from domains similar to the organization's, reducing the risk of impersonation attacks. - Security Sandbox: Provides a virtual environment to safely open and analyze email attachments, identifying zero-day threats, ransomware, and malware embedded in files without exposing the organization to risk. - Integrated Security Controls: Offers centralized visibility and control through the Security Center, enabling IT administrators to monitor threats, enforce security policies, and respond swiftly to incidents. Primary Value and Problem Solved: Google Cloud Phishing Protection addresses the critical need for robust defense mechanisms against the ever-evolving landscape of phishing attacks and malware. By implementing proactive threat detection and prevention strategies, it minimizes the risk of data breaches, protects sensitive information, and maintains organizational integrity. This solution empowers businesses to operate securely, fostering trust among clients and stakeholders while ensuring compliance with industry standards.

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Google Reviews

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Star Rating
62758
19062
2832
507
320
Verified User in Information Technology and Services
GI
Verified User in Information Technology and Services
08/12/2026
Validated Reviewer
Review source: G2 invite
Incentivized Review

Centralized Security Monitoring with Initial Complexity

I like having everything in one place with Google Security Operations, which makes it easier to spot unusual activities and investigate issues without jumping between multiple tools. It really helps us monitor security events and logs all in one place, detect suspicious activity, investigate incidents, and get a better overall view of what is happening across our environment. It solves the challenge of monitoring security across different systems from a single platform.
Ethan J.
EJ
Ethan J.
08/12/2026
Validated Reviewer
Review source: G2 invite
Incentivized Review

Fast, High-Quality Image Generation That Follows Detailed Prompts

I like Nano Banana 2 because it can quickly generate and edit high-quality images from simple prompts, while doing a good job of following specific visual details and instructions.
AMOL J.
AJ
AMOL J.
08/12/2026
Validated Reviewer
Review source: G2 invite
Incentivized Review

Google Tensorflow Enterprise Scalable and Reliable Workfolw

I like scalability provided by Google Tensorflow Enterprise while deploying AI models in production

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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