Google Cloud Platform (GCP) offers a variety of data-related services and tools to store, process, analyze, and manage data. Here are some key data services provided by Google Cloud:

1. Cloud Storage: Cloud Storage is an object storage service that allows you to store and retrieve any amount of data. It provides durability, scalability, and high availability for your files, and offers different storage classes to optimize cost and performance.

2. Cloud SQL: Cloud SQL is a fully managed relational database service that supports popular database engines like MySQL, PostgreSQL, and SQL Server. It provides automated backups, replication, and scaling capabilities to simplify database management.

3. Cloud Bigtable: Cloud Bigtable is a scalable NoSQL database service that is ideal for handling large amounts of data with low-latency access. It is a sparsely populated, wide-column database suitable for applications that require high throughput and low latency, such as time-series data analysis and real-time analytics.

4. Cloud Datastore: Cloud Datastore is a NoSQL document database service for applications that require a schemaless, scalable, and highly available data storage solution. It offers ACID transactions, automatic scaling, and built-in data replication for durability.

5. Cloud Firestore: Cloud Firestore is a NoSQL document database that provides real-time data synchronization and offline support for web, mobile, and server applications. It offers flexible querying, automatic scaling, and multi-region data replication.

6. BigQuery: BigQuery is a fully managed serverless data warehouse and analytics platform that enables you to analyze massive datasets using SQL queries. It offers fast query performance, automatic scaling, and supports real-time data ingestion.

7. Dataflow: Dataflow is a fully managed service for building and executing data processing pipelines. It supports both batch and streaming data processing, and you can use it to transform, enrich, and analyze data at scale.

8. Dataproc: Dataproc is a managed Apache Hadoop and Spark service that allows you to process big data workloads. It provides a fully managed cluster environment for running data processing and analytics frameworks.

9. Pub/Sub: Cloud Pub/Sub is a messaging service for building event-driven architectures. It allows you to publish and consume messages asynchronously, decoupling the senders and receivers of messages.

10. Data Catalog: Data Catalog is a fully managed and scalable metadata management service. It provides a centralized and searchable catalog of your data assets, making it easy to discover, understand, and manage your data.

These are just some of the data services offered by Google Cloud Platform. Each service has its own pricing model based on factors such as storage, data transfer, and processing. It is recommended to visit the Google Cloud website for detailed information on pricing and documentation for specific data services.