Google cloud platform (GCP) is a high-performance infrastructure for cloud computing, data analytics, and machine learning. Google Cloud runs on the same infrastructure that Google uses for its end-user products like Google Search, Gmail, Google Drive, Google Photos, etc.

1. An Overview of All the Different Databases
in Google Cloud
https://fibonalabs.com/

3. Google cloud platform (GCP) is a high-performance infrastructure for cloud
computing, data analytics, and machine learning. Google Cloud runs on the
same infrastructure that Google uses for its end-user products like Google
Search, Gmail, Google Drive, Google Photos, etc. This blog gives you an
insight into the various databases offered by Google Cloud.
BARE METAL SOLUTION FOR ORACLE
It is a relational database that helps to perform the migration of Oracle
workloads to Google Cloud. Oracle workloads can be migrated with our
preferred methods such as Oracle Data Guard, Oracle GoldenGate, Oracle
Data Pump, or Oracle RMAN for backups. Bare Metal solution features define
our IP subnets for use in the environment. We can fit our Bare Metal solution
into any existing IP address schema which the enterprise has.

4. It can be used for database management, automation of operational
databases, and administration tasks. The latest technologies leveraged by Bare
Metal Solutions include Cascade Lake servers, Tier 1 NVM storage, and a
100G network. It has a latency of less than 2ms. It offers the highest core to
memory ratio in comparison with other cloud services.
CLOUD SQL
Cloud SQL is a self-managed, relational database that serves as an alternative
to local MySQL, PostgreSQL, and SQL server databases. It reduces time
invested in Database Management and improves usability. Cloud SQL enables
us to create and delete databases and database users, but it is not a database
administration tool.

5. It performs operations like backups, high availability, and failover, network
connectivity, export and import, flagging, maintenance, updates, monitoring,
and logging. System updates are performed by Cloud SQL whereas
configuration updates are done by the user. It can be used to build
containerized applications, perform data analytics, build and deploy web apps
and manage databases using Terraform.
Using Cloud SQL, we can add up to 96 processor cores, more than 624GB
RAM, and 30TB storage. We can add read replicas to handle increasing read
traffic. It supports performance-intensive workloads up to 60,000 IOPS and no
extra costs are incurred for extra IO.

6. CLOUD SPANNER
Cloud Spanner is a globally distributed, ACID-compliant, relational database. It
helps in creating and scaling a globally replicated database with ease. Cloud
Spanner optimizes performance by automatically sharding the data based on
request load and size of the data, thus improving business scaling. It enables
Point-In-Time-Recovery (PITR) which provides continuous protection with the
ability to recover past data to microsecond granularity. It is purpose-built for
external, strong, global transactional consistency and survives regional failure.
It offers low latency, high security, and reliability. It supports client libraries in
C#, C++, Go, JAVA, Node.js, PHP, Python, and Ruby. It is also compatible with
JDBC drivers for connecting with third-party tools.

7. Cloud Spanner can be used in services like retail and financial services,
gaming, media, entertainment, technology, healthcare, etc.
CLOUD BIGTABLE
It is a fully managed, scalable, wide-column store database for large analytical
and operational workloads with up to 99.999% availability. It is designed with a
storage engine for machine learning applications, which enhances predictions.
It can be integrated with big data tools like Hadoop, Dataflow, and Dataproc. It
also supports the open-source HBase API standard. Bigtable supports high
read and write throughput at low latency, providing quick access to large
amounts of data. With Bigtable, there are no manual steps needed to ensure
consistency, data repair, synchronization of writes, and deletes, which reduces
the workload.

8. Bigtable can be used in areas of personalization, Ad-tech, Fintech, digital
media, and IoT.
FIRESTORE
Firestore is a serverless, scalable, no-maintenance, document database. It
offers a built-in live synchronization and offline mode. This makes it easy to
build multi-user, collaborative apps on mobile, web, and IoT devices. Firestore
allows us to run sophisticated ACID transactions against document data. App
development can be done using Firestore client-side development libraries for
web, iOS, Android, Flutter, C++, and Unity. It also supports server-side
development libraries using Node.js, JAVA, Go, Ruby and PHP. It enables
customizable identity-based security access controls and data validation using
a configuration language.

9. It supports the Database API where it retains the application’s same
performance characteristics and pricing in the databases, which will be
upgraded automatically to the Cloud Datastore.
It offers multi-region replication and high consistency, hence surviving natural
disasters. Firestore is used for live asset tracking, activity tracking, real-time
analytics, media and product catalogs, communications, social user profiles,
and gaming leader boards.
FIREBASE REALTIME DATABASE
It is a No-SQL, cloud-hosted database where data is stored as JSON. It uses
accelerated data synchronization and provides collaborative and immersive
experiences without thinking about networking code.

10. Firebase supports responsiveness even when offline as Firebase Realtime
Database SDK persists our data to disk. The changes are synchronized with
the current server state once the connectivity is re-established. Streamline
authentication is used along with firebase authentication to validate users
across database instances. The access methods can be defined by the
developers by leveraging the language: Firebase Realtime Database Security
Rules. This language defines how the data should be structured when data can
be read from or written to.
The optimization and functionality vary from that of a relational database as it
supports only quick, executable operations. It is designed to support the
responsiveness required for a great real-time experience for millions of users.

11. Hence it is important to structure the data according to the user’s accessibility.
Firebase Realtime Database can be used in areas like mobile signing-in,
personalized apps, and Ads, in-app chats, etc.
MEMORYSTORE
Memorystore is an in-memory database service that supports both Redis and
Memcached. It is used to build application caches and to perform the migration
of caching layers to the cloud with zero code change. Memorystore is protected
from the internet using VPC networks and private IP. It comes with IAM
integration which offers data protection. It automates DevOps practices like
provisioning, replication, failovers, and patching. Memorystore instances can be
monitored via cloud monitoring, where custom alerts can be set up. It can also
be integrated with OpenCensus to get insights on client-side metrics.

12. It provides 99.9% availability SLA and automatic failover for both Redis and
Memcached. It is used in areas like caching gaming applications, social media
chat or news feeds.
MONGODB ATLAS
MongoDB Atlas helps to set up, scale, and operate MongoDB across Google
Cloud. Atlas helps in automating database operations such as cluster
deployment and modification using automated patches. It features to scale up,
scale-out, or scale down via a simple API call or a push-button, without
affecting our applications. It features Point-In-Time-Recovery by enabling
accelerated querying of back snapshots. It also restores granular datasets in a
fraction of time.

13. MongoDB Atlas ensures no single point of failure as each cluster is distributed
across the zones in a Google Cloud region. The product databases are backed
up by a 99.95% uptime SLA. It includes optimized dashboards which highlight
key historical metrics, real-time performance, and customized alerts with the
help of built-in tools. Atlas can be used in areas of mobile, web, and IoT
applications, gaming apps, content management, and single view applications.

14. THANK YOU