Google Cloud Platform (GCP) provides a range of data management tools and services to help organizations store, process, analyze, and visualize their data. Here are some key Google Cloud data management tools and services:

1. Google Cloud Storage: Google Cloud Storage is a scalable object storage service that allows organizations to store and retrieve data in the cloud. It offers multiple storage classes for different use cases, including Standard, Nearline, Coldline, and Archive, with varying performance and cost characteristics.
2. Google BigQuery: Google BigQuery is a fully managed, serverless data warehouse service that enables organizations to analyze large datasets using SQL queries. It offers high performance, scalability, and built-in machine learning capabilities for advanced analytics and data exploration.
3. Google Cloud Firestore and Cloud Bigtable: Google Cloud Firestore is a scalable, fully managed NoSQL document database service for building serverless applications, while Cloud Bigtable is a highly scalable NoSQL database service for real-time analytics and IoT applications. Both services offer low-latency data access and automatic scaling.
4. Google Cloud SQL: Google Cloud SQL is a fully managed relational database service that supports MySQL, PostgreSQL, and SQL Server. It automates backups, replication, patch management, and scaling, allowing organizations to focus on their applications instead of database administration.
5. Google Cloud Spanner: Google Cloud Spanner is a globally distributed, horizontally scalable relational database service that offers strong consistency and high availability. It is suitable for mission-critical applications that require ACID transactions and global scale.
6. Google Cloud Dataflow: Google Cloud Dataflow is a fully managed stream and batch processing service that allows organizations to process and analyze data in real-time. It offers a unified programming model based on Apache Beam for building data pipelines that can scale dynamically with demand.
7. Google Cloud Dataproc: Google Cloud Dataproc is a fully managed Apache Hadoop and Apache Spark service that enables organizations to run big data processing and analytics workloads in the cloud. It offers automatic cluster provisioning, scaling, and management, along with integration with other GCP services.
8. Google Cloud Pub/Sub: Google Cloud Pub/Sub is a fully managed messaging service that allows organizations to ingest and process event streams at scale. It offers reliable message delivery, low-latency message ingestion, and seamless integration with other GCP services.
9. Google Data Studio: Google Data Studio is a free, fully customizable data visualization and reporting tool that allows organizations to create interactive dashboards and reports from various data sources. It offers drag-and-drop functionality and real-time collaboration features.

These are just a few examples of the data management tools and services available on Google Cloud Platform. Depending on specific requirements and use cases, organizations can leverage GCP’s comprehensive portfolio of data services to meet their data management needs.