Google Cloud provides a range of analytics services and tools that enable businesses to derive insights and make data-driven decisions. Here are some key analytics services offered by Google Cloud:

1. BigQuery: BigQuery is a fully managed, serverless data warehouse and analytics platform. It allows you to analyze large datasets using SQL queries with high performance and scalability. BigQuery supports real-time data ingestion and integration with other Google Cloud services for advanced analytics.

2. Dataflow: Dataflow is a fully managed service for building and executing data processing pipelines. It supports both batch and streaming data processing and provides capabilities for data transformation, enrichment, and aggregation. Dataflow integrates with other Google Cloud services like BigQuery and Pub/Sub.

3. Dataproc: Dataproc is a managed Apache Hadoop and Apache Spark service. It allows you to process big data workloads using familiar Hadoop and Spark frameworks. Dataproc provides a fully managed cluster environment and supports popular data processing libraries and tools.

4. Cloud Pub/Sub: Cloud Pub/Sub is a messaging service that enables reliable and asynchronous communication between applications and services. It provides a scalable and durable messaging infrastructure for real-time streaming and event-driven architectures. Pub/Sub integrates well with other Google Cloud services for data ingestion and distribution.

5. Cloud Dataflow SQL: Cloud Dataflow SQL is a fully managed, serverless service for running SQL queries on streaming data. It allows you to perform real-time analysis on streaming data sources using familiar SQL syntax.

6. Looker: Looker is a comprehensive data analytics and visualization platform that is part of the Google Cloud ecosystem. It provides a unified interface for exploring, analyzing, and sharing data insights. Looker supports interactive dashboards, data exploration, and collaboration features.

7. Data Studio: Data Studio is a free web-based tool for creating and sharing interactive reports and dashboards. It allows you to connect to various data sources, including Google Cloud services, and create visually appealing and customizable reports for data analysis and visualization.

8. AI-powered Analytics: Google Cloud offers AI-powered analytics capabilities through services like BigQuery ML, AutoML Tables, and Data Labeling Service. These services enable users to perform machine learning tasks, such as building models, training models, and annotating data, to enhance analytics and predictions.

These are just a few examples of the analytics services provided by Google Cloud. Each service has its own features, pricing, and capabilities. It is recommended to visit the Google Cloud website or consult the documentation for each service to explore the specific functionalities and learn more about their usage and pricing.