Google Cloud lists more than 100 products, grouped into 22 categories on its official products page, from compute and storage to AI, security and industry tools. The exact number depends on how you count: separate APIs, editions and features push it much higher, and Google regularly renames, merges and retires services.
Key takeaways
- Google's own Google Cloud products page says "100+ products" and sorts them into 22 categories.
- Most workloads use fewer than 15 of them: a compute service, storage, a database, networking, IAM, logging and monitoring.
- Names change often. Vertex AI now redirects to Gemini Enterprise Agent Platform, Dataproc to Managed Service for Apache Spark, and Cloud Composer to Managed Service for Apache Airflow.
- For 24/7 help, Google's paid Enhanced and Premium support tiers cover high- and critical-impact cases around the clock. Standard support is 8/5.
- Pick services by workload need and team skills, not by catalogue size.
How many GCP services are there in 2026?
The official answer is "100+ products". That is the figure Google uses on its products page and price list, and it is the safest number to quote.
Counts above that come from different counting rules. If you list every API in the Cloud console, every Workspace and Maps product, or every edition of a database separately, you get several hundred items. None of those counts is wrong; they answer different questions. For planning, the more useful question is which categories you need and which service in each category fits your workload.
The 22 Google Cloud product categories
Google groups its catalogue into these categories. The table shows widely used services in each, with the names Google uses on its products page in October 2026.
| Category | Examples of services | Typical use |
|---|---|---|
| AI and machine learning | Gemini Enterprise Agent Platform, Model Garden, Speech-to-Text, Translation AI, Vision AI | Building and running AI models and agents |
| Business intelligence | Looker, Data Studio | Dashboards and reporting |
| Compute | Compute Engine, Spot VMs, Cloud GPUs, VMware Engine, Bare Metal | Virtual machines and specialised hardware |
| Containers | Google Kubernetes Engine (GKE), Cloud Run, Artifact Registry, Cloud Build | Running containerised apps |
| Data analytics | BigQuery, Dataflow, Pub/Sub, Managed Service for Apache Spark, Managed Service for Apache Kafka | Data warehousing, streaming and batch pipelines |
| Databases | Cloud SQL, AlloyDB for PostgreSQL, Spanner, Firestore, Bigtable, Memorystore | Relational, NoSQL and in-memory data |
| Developer tools | Cloud Build, Cloud Deploy, Infrastructure Manager, Cloud Workstations, Gemini Code Assist | CI/CD and infrastructure as code |
| Distributed cloud | Google Distributed Cloud connected and air-gapped | Edge sites and disconnected environments |
| Hybrid and multicloud | GKE, Apigee, Cloud Service Mesh | Running across on-premises and other clouds |
| Industry specific | Cloud Healthcare API, Anti Money Laundering AI, telecom tools | Sector-specific data and compliance |
| Integration services | Application Integration, Workflows, Eventarc, Cloud Tasks | Connecting apps and events |
| Management tools | Cloud console, Cloud Shell, Cloud IAM, Cost Management, Active Assist | Administration and cost control |
| Maps and geospatial | Google Maps Platform, Earth Engine | Location data and analysis |
| Media services | Cloud CDN, Live Stream API, Transcoder API | Video and content delivery |
| Migration | Migration Center, Migrate to Virtual Machines, Database Migration Service | Moving workloads to Google Cloud |
| Networking | Virtual Private Cloud, Cloud Load Balancing, Cloud Armor, Cloud DNS, Cloud NAT | Connectivity and traffic protection |
| Operations | Cloud Logging, Cloud Monitoring, Managed Service for Prometheus, Cloud Trace | Observability and alerting |
| Productivity and collaboration | Google Workspace, AppSheet, Cloud Identity, Chrome Enterprise | Email, documents and collaboration |
| Security and identity | Security Command Center, Cloud Key Management, Google Security Operations, Assured Workloads | Threat detection, encryption and compliance |
| Serverless | Cloud Run, Cloud Run functions, App Engine, API Gateway | Running code without managing servers |
| Storage | Cloud Storage, Block Storage, Filestore | Object, block and file storage |
| Web3 | Blockchain Node Engine, Blockchain RPC | Blockchain node hosting |
Which GCP services do most companies actually use?
A typical production setup uses about a dozen services. The core is the same whether you run a web shop or an analytics platform:
- Compute: Compute Engine for VMs, or GKE or Cloud Run for containers.
- Storage: Cloud Storage for files, backups and data lakes.
- Database: Cloud SQL or AlloyDB for relational data, Firestore for document data.
- Networking: a VPC, Cloud Load Balancing and Cloud Armor in front of public apps.
- Identity: Cloud IAM, with organisation policies to keep projects in line.
- Operations: Cloud Logging and Cloud Monitoring with alerting.
- Data and AI, when needed: BigQuery for analytics and Gemini Enterprise Agent Platform for models and agents.
Start with these and add services when a workload needs them. Each extra service adds something to secure, monitor and pay for.
Renamed and retired services to watch
Google changes product names more often than most clouds, which makes older guides and job descriptions confusing. Recent examples:
- Vertex AI: the old URL now redirects to Gemini Enterprise Agent Platform.
- Cloud Functions is now called Cloud Run functions.
- Dataproc now appears as Managed Service for Apache Spark, and Cloud Composer as Managed Service for Apache Airflow.
When you read documentation, scripts or Terraform code from a few years ago, check the current product name before you search for it.
Does Google Cloud offer 24/7 support?
Yes, on paid plans. According to Google Cloud Customer Care, Standard support answers high-impact issues 8/5, while Enhanced and Premium give 24/7 response for high- and critical-impact cases.
| Tier | Hours | Initial response, most urgent case | Price basis |
|---|---|---|---|
| Standard | 8/5 for high-impact issues | 4 hours (P2) | 3% of monthly spend, minimum $29 |
| Enhanced | 24/7 for high and critical impact | 1 hour (P1) | Tiered from 10% down to 3% of spend, minimum $100 |
| Premium | 24/7 for high and critical impact | 15 minutes (P1) | Tiered from 10% down to 3% of spend, minimum $15,000 |
Google's support covers Google's platform. It does not run your workloads: someone still has to watch your alerts at night, patch your VMs and fix your application. That is where a managed service provider comes in.
How Opsio helps
Opsio is a Google Cloud managed service provider with teams in Sweden and India. We help you choose the right services, plan a Google Cloud migration, and run the environment 24/7 with monitoring, patching, security and cost reviews. If you are still choosing a platform, our AWS vs Azure vs GCP comparison sets the three side by side.
Frequently asked questions
How many services does Google Cloud offer?
Google says more than 100 products, grouped into 22 categories on its products page. Counting individual APIs and editions gives a higher number, but 100+ is the official figure.
What are the main GCP services?
Compute Engine, Google Kubernetes Engine, Cloud Run, Cloud Storage, Cloud SQL, BigQuery, Pub/Sub, Cloud IAM, Cloud Logging and Cloud Monitoring cover most workloads. AI teams add Gemini Enterprise Agent Platform.
Is GCP the same as Google Cloud?
Mostly. Google Cloud Platform (GCP) is the older name for the infrastructure and data services. "Google Cloud" is the wider brand that also includes Google Workspace and other business products. See the difference between Google Cloud and GCP.
Where can I find a list of all GCP services?
The official list is on Google's products page, with a "See all products" view and a price list. The console's API library shows every individual API you can enable in a project.
Can I get 24/7 support for GCP services?
Google's Enhanced and Premium support tiers cover high- and critical-impact cases 24/7. For round-the-clock operation of your own workloads, you need an internal on-call team or a managed service provider.
Written By
Country Manager, Sweden
Johan leads Opsio's Sweden operations, driving AI adoption, DevOps transformation, security strategy, and cloud solutioning for Nordic enterprises. With 12+ years in enterprise cloud infrastructure, he has delivered 200+ projects across AWS, Azure, and GCP — specialising in Well-Architected reviews, landing zone design, and multi-cloud strategy.
Editorial standards: This article was written by the cloud practitioner named in the byline above. We revise it when the technology or regulation it covers changes; the dates on this page show the latest update. Opsio maintains editorial independence.