Google Announces Several Cloud Database Improvements
When it comes to creating and managing databases, the Google Cloud Platform provides a number of different services that can make it easy to store, manage, and analyze data, without having to worry about managing hardware, backups, security, and scaling to meet the needs of users.
Read the Best Personal and Business Tech without Ads
Staying updated on what is happening in the technology sector is important to your career and your personal life but ads can make reading news, distracting. With Thurrott Premium, you can enjoy the best coverage in tech without the annoying ads.
In a recent post on the Google Cloud Platform blog, Google announced several updates and improvements to its managed cloud database offerings. This includes:
Commit Timestamps for Cloud Spanner – Google’s Cloud Spanner is a database service that allows for horizontal scaling with an uptime guarantee of over 99.99 percent. One of the most recent updates to this service is an addition of commit timestamps, which enables users to determine when data was committed to the database. This can be useful for a variety of purposes, such as for knowing when data was added or updated within a table.
Cloud Bigtable Replication (Beta) – When it comes to storing and managing data, it’s important that admins ensure that the data is always available to those who need it when they need it. This is especially important in the case of systems that are frequently accessed, where a missing or slow-loading database can be problematic for users. This is where Bigtable’s data replication can be useful. Not only does it help to ensure the durability and accessibility of the data by placing copies of it in multiple zones within the Google Cloud Platform, but it can also increase the scalability of a database.
Cloud Memorystore for Redis (Beta) – On May 9th, Google will begin offering Cloud Memorystore for Redis. While this service will initially be offered as a beta, it will provide users with the ability to store data using Redis. And it will leverage the Google Cloud Platform in order to provide users with a stable, scalable, and secure way to store their data. For those who would like to migrate their current Redis-based applications to Google’s Cloud Memorystore, they can easily do so without having to worry about updating their current code-base to work with Google’s Cloud Platform.
General Availability of Cloud SQL for PostgreSQL – While Google has offered PostgreSQL database support on its Cloud SQL database platform as a beta service, it is now making it available to all users. Given that Google’s Cloud SQL service uses the standard open-source version of PostgreSQL, users can easily migrate their current data to the Cloud SQL platform in order to take advantage of the reliability (Google offers a 99.95 percent uptime SLA) and scalability offered by the Google Cloud Platform.
Given the vast amounts of data that organizations are working with today, it’s important to for companies like Google to stay ahead of the curve and offer easy-to-use services that can be scaled up to meet the needs of its customers. And with the improvements that the firm recently announced, Google is showing that it is definitely a strong contender when it comes to storing, managing, and working with data in the cloud.