For a multinational corporation seeking a scalable and cost-effective solution on GCP to store and analyze large volumes of data, which service is most appropriate?
- Google Cloud Bigtable
- Google Cloud Storage
- Google Cloud Spanner
- Google Cloud Pub/Sub
- Google Cloud Dataflow
Explanation:
Google Cloud Bigtable stands out as the most suitable service for a multinational corporation looking to store and analyze large volumes of data. It is a NoSQL database service that excels in handling massive analytical and operational workloads. Bigtable offers impressive scalability, enabling it to accommodate large-scale data requirements easily. This scalability is crucial for multinational corporations that deal with extensive datasets. Furthermore, Bigtable’s cost-effectiveness makes it an attractive option for organizations looking to optimize their spending while managing large data volumes. While the other services listed have their specific uses, none of them provide the same combination of scalability, performance, and cost-effectiveness for large-scale data storage and analysis as does Google Cloud Bigtable.