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Storage & Databases

Database & Storage

Image source: Google Cloud Documentation

Cloud Storage

Scalable object storage for unstructured data (images, backups, logs). Features multiple storage classes (Standard, Nearline, Coldline, Archive) and automated lifecycle management.

Cloud SQL

Fully managed relational database (RDBMS) for MySQL, PostgreSQL, and SQL Server. Best for standard web applications and transactional (OLTP) workloads at a regional scale.

Cloud Spanner

Enterprise-grade, globally distributed relational database. Provides horizontal scalability for both reads and writes with strong global consistency and up to 99.999% availability.

Firestore / Datastore

Serverless, NoSQL document database built for mobile, web, and IoT apps. Supports real-time synchronization, offline data access, and ACID transactions at the document level.

Bigtable

High-performance, fully managed NoSQL wide-column database. Designed for petabyte-scale, low-latency workloads such as IoT telemetry, ad-tech, and financial data.

BigQuery

Serverless, cost-effective enterprise data warehouse (EDW) for OLAP analytics. Uses a columnar architecture to query petabytes of data using standard SQL.

Memorystore

Fully managed in-memory data store service for Redis, Valkey, and Memcached. Used for sub-millisecond latency caching, session management, and real-time analytics.

Filestore

Managed NFS file storage for applications that require a POSIX-compliant shared filesystem. Commonly used as shared storage for GKE pods and Compute Engine VMs.

Persistent Disk

Persistent Disk is durable, high‑performance block storage for VM instances. It’s replicated for reliability, supports snapshots, resizing, and can detach/reattach across VMs.