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Google

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85,433 reviews
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  • 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 VPN

16 reviews

Google Cloud VPN is a service that securely connects your on-premises network to Google's Virtual Private Cloud (VPC) network through an IPsec VPN tunnel. This encrypted connection ensures that data traveling between your networks remains protected over the public internet. Cloud VPN is particularly beneficial for low-volume data connections and is designed for secure communication between private networks, not for routing traffic to the public internet. Key Features and Functionality: - High Availability (HA) VPN: Offers a high-availability solution with an SLA of up to 99.99% service availability, depending on the configuration. - Multiple VPN Gateways: Supports the creation of multiple HA VPN gateways, each with two interfaces and external IP addresses, enhancing redundancy and reliability. - Dynamic and Static Routing: Supports both dynamic routes using Cloud Router and static routes, providing flexibility in network configuration. - Protocol Support: Compatible with both IKEv1 and IKEv2 protocols, ensuring broad interoperability with various VPN devices. - Encryption Standards: Utilizes ESP in Tunnel mode with authentication, ensuring secure data transmission. Primary Value and User Benefits: Google Cloud VPN enables organizations to securely extend their on-premises networks into Google's cloud infrastructure, facilitating hybrid cloud deployments. By encrypting traffic between networks, it ensures data security during transmission. The service's high availability and support for multiple gateways and tunnels provide reliable and scalable connectivity solutions. Additionally, its compatibility with various routing protocols and encryption standards allows for seamless integration with existing network infrastructures, reducing operational complexity and enhancing overall network security.

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Google Cast SDK

16 reviews

Google Cast lets users stream video, audio and applications onto a screen.

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Google Vertex AI SDK

16 reviews

The Google Vertex AI SDK is a comprehensive suite of tools designed to facilitate the development, deployment, and management of machine learning (ML) models on Google Cloud's Vertex AI platform. It offers a unified environment that streamlines the entire ML lifecycle, enabling data scientists and developers to efficiently build, train, and scale ML models and generative AI applications. Key Features and Functionality: - Unified Platform: Integrates tools for data preparation, model training, evaluation, deployment, and monitoring within a single API and user interface, simplifying the ML workflow. - Model Training Options: Supports both AutoML for code-free model training and custom training for full control over ML frameworks and hyperparameter tuning. - Model Garden: Provides access to a curated catalog of over 200 enterprise-ready models, including Google's foundation models like Gemini, Imagen, and Veo, as well as third-party and open-source models. - MLOps Tools: Includes Vertex AI Pipelines for workflow orchestration, Feature Store for managing ML features, Model Registry for versioning models, and Model Monitoring for detecting training-serving skew and inference drift. - Agent Builder and Agent Engine: Offers tools for building, deploying, and governing AI agents, supporting development with the Agent Development Kit (ADK) and providing infrastructure for deploying and scaling agents. Primary Value and User Solutions: The Vertex AI SDK addresses the complexities of ML model development by offering a cohesive and scalable platform that reduces the need for extensive code, thereby accelerating the transition from experimentation to production. By consolidating various ML tools and services, it enhances collaboration among data scientists and developers, improves operational efficiency, and facilitates the deployment of robust AI solutions. This comprehensive approach empowers organizations to harness the full potential of machine learning and artificial intelligence in their applications.

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GWT - Google Web Toolkit

15 reviews

GWT is a development toolkit for building and optimizing complex browser-based applications. Its goal is to enable productive development of high-performance web applications without the developer having to be an expert in browser quirks, XMLHttpRequest, and JavaScript. GWT is used by many products at Google, including AdWords, AdSense, Flights, Hotel Finder, Offers, Wallet, Blogger. It’s open source, completely free, and used by thousands of developers around the world.

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Google Apps Backup Service for G Suite

15 reviews

Google Apps Backup Service for G Suite is designed to protects all of an organizations Google Apps data from expensive and even disastrous data loss.

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Cardboard

15 reviews

Cardboard is the world’s most accessible and affordable VR platform, supporting both Android and iOS. Cardboard enables immersive VR experiences by fusing data from the phone's sensors to predict the user's head position in both the real and virtual worlds. This combined with Cardboard's simple, easy-to-use headset makes it ideal for quick VR experiences.

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Google Gaming

15 reviews

Google Maps Platform's gaming solution empowers developers to create immersive, real-world gaming experiences by integrating Google's comprehensive mapping data into their games. This platform provides access to over 100 million 3D buildings, landmarks, parks, and roads across more than 200 countries, enabling game studios to design dynamic environments that mirror the real world. Key Features and Functionality: - Unity Integration: Seamlessly incorporate real-world maps into games using the Unity engine, transforming geographic data into customizable GameObjects. - Customizable Game Worlds: Developers can stylize and texture real-world structures to fit various game themes, from medieval landscapes to futuristic cities. - Real-Time Data: Utilize Google's up-to-date location data to place game elements in optimal real-world locations, enhancing player engagement. - Scalable Infrastructure: The platform supports games of all sizes, accommodating both independent developers and large studios. Primary Value and User Solutions: By leveraging Google Maps Platform's gaming solution, developers can craft engaging games that blend virtual elements with real-world geography. This integration allows for the creation of location-based games that encourage exploration and interaction with the environment, offering players unique and personalized gaming experiences. The platform's extensive global coverage and real-time data ensure that games remain relevant and captivating, regardless of the player's location.

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Work Insights

15 reviews

Understand how G Suite impacts your organization in real time. Surface insights on adoption, work patterns, and collaboration across different G Suite apps.

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Google Cloud Infrastructure

15 reviews

Our planet-scale infrastructure delivers the highest level of performance and availability in a secure, sustainable way.

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62763
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Google Reviews

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Star Rating
62763
19067
2832
507
320
Verified User in Information Technology and Services
CI
Verified User in Information Technology and Services
08/12/2026
Validated Reviewer
Review source: G2 invite
Incentivized Review

Easy AI Resource Management with Efficient Cloud Integration

What I like most about Google Cloud AI Hub is that it provides a centralized place to discover, manage, and reuse AI and machine learning resources. The integration with Google Cloud services makes it easier to work with existing data and AI workflows. I also find the available models, tools, and resources useful for quickly testing ideas and building AI solutions without having to start everything from scratch.
Aswindev P.
AP
Aswindev P.
Cloud Security Consultant at KPMG India
08/12/2026
Validated Reviewer
Verified Current User
Review source: G2 invite
Incentivized Review

Enterprise-Grade GenAI WAF, But Expect Latency and GCP Infrastructure Trade-Offs

What I like best about Google Cloud Model Armor is that it finally brings the architectural rigor of an enterprise Web Application Firewall (WAF) to the highly unpredictable world of Generative AI. It stops treating LLMs like black-box science experiments and governs them like any other production asset that requires strict input and output sanitization. ​From a cloud security architecture perspective, here is a breakdown of what is most helpful and the major upsides to deploying Model Armor: ​1. Model-Agnostic and Cloud-Agnostic Architecture ​ What is most helpful: You are not locked into securing only Google's Gemini models. ​The Upside: Model Armor is designed to be completely model-independent. You can use its REST APIs or inline Apigee integration to secure any GenAI model whether you are running Anthropic on AWS, OpenAI on Azure, or a local open-source model. It acts as an independent security gateway, ensuring that your enterprise security posture remains uniform even in a heavily fragmented, multi-cloud environment. ​2. Unifying DLP and ITGC Controls (The Compliance Upside) ​ What is most helpful: In traditional architectures, you have to write data-loss prevention (DLP) rules multiple times across different firewalls and endpoints. ​ The Upside: Model Armor integrates directly with Google Cloud's existing Sensitive Data Protection (formerly Cloud DLP) engine. This means you do not have to rebuild complex regex or machine-learning classifiers to detect PII, PCI, or proprietary IP. You simply apply your existing enterprise DLP templates to the AI. When it comes time to satisfy ITGC requirements or pass a SOC 2 audit, you can prove that your generative AI applications adhere to the exact same strict data governance rules as your traditional databases. ​3. Bi-Directional Screening and Multi-Modal OCR ​ What is most helpful: Securing AI requires solving two entirely different problems: stopping attackers from breaking in, and stopping the model from leaking data out. ​The Upside: Model Armor filters traffic in both directions. On the input side, it uses dedicated classifiers to block sophisticated prompt injections and jailbreak attempts before they ever reach the LLM. On the output side, it intercepts hallucinated malicious URLs or accidentally leaked source code. Furthermore, it doesn't just scan text; it includes Optical Character Recognition (OCR) to screen uploaded images, preventing attackers from bypassing text filters by hiding malicious prompts inside a JPEG. ​4. Shadow Testing via "Inspect Only" Mode ​ What is most helpful: Applying strict security guardrails to a live AI application usually breaks workflows, as legitimate user prompts trigger false positives. ​The Upside: Model Armor offers dual enforcement types: "Inspect and Block" and "Inspect Only". You can deploy new security templates in "Inspect Only" mode to silently log violations to Cloud Logging without actually dropping the traffic. This allows security teams to measure the false-positive rate and tune the policy confidence thresholds perfectly before enforcing hard blocks in a live production environment. ​Ultimately, the biggest upside to Model Armor is that it centralizes AI trust and safety. Instead of expecting application developers to manually write security wrappers around their prompt chains, it shifts the responsibility back to the infrastructure layer where it belongs.
Mohamed I.
MI
Mohamed I.
Software Developer at a Mismar
08/12/2026
Validated Reviewer
Verified Current User
Review source: G2 invite
Incentivized Review

Gemma 3 4B: Lightweight, Fast, and Surprisingly Good Responses

I like that Gemma 3 4B is small and lightweight but still gives surprisingly good responses. It’s fast, easy to run locally, and doesn’t need a lot of resources.

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