Google Cloud offers several NoSQL database services that cater to various use cases and requirements. Here are some of the primary NoSQL database services provided by Google Cloud:

1. Cloud Firestore: Firestore is a serverless, scalable NoSQL database that is part of Google Cloud’s Firebase suite. It is suitable for real-time web and mobile applications, offering features like real-time synchronization, offline data access, and automatic scaling. Firestore is a document-oriented database that can be used for structured data.

2. Cloud Bigtable: Cloud Bigtable is a fully managed, high-performance NoSQL database service designed for large analytical and operational workloads. It is ideal for applications requiring low-latency and high-throughput access to large datasets, such as time-series data, IoT, and analytics.

3. Cloud Datastore: Cloud Datastore is a highly available and scalable NoSQL database service for web and mobile applications. It provides a schemaless data model and is suitable for storing semi-structured data. It is often used for content management systems, user profiles, and metadata storage.

4. Cloud Memorystore: While not a traditional NoSQL database, Cloud Memorystore is a managed in-memory data store service based on the popular Redis open-source technology. It is used for caching and real-time analytics, providing low-latency data access.

5. Firestore in Datastore Mode: Firestore can also be used in a compatibility mode called “Datastore Mode,” which provides a subset of Firestore features but is compatible with Google Cloud Datastore. This is helpful for migrating from Datastore to Firestore.

When selecting a Google Cloud NoSQL database service, consider factors such as your application’s specific requirements, scalability needs, data model preferences, and latency constraints. Each service has its own pricing model, so be sure to review the pricing details on the Google Cloud website to understand the costs associated with your chosen NoSQL database service.