Today Google Cloud Platform announced that several of is database storage products, that were formally in beta, are now generally available. The products that are now generally available include Cloud SQL Second Generation, Cloud Bigtable, and Cloud Datastore. Not only are these products now generally available they are also covered by corresponding Service Level Agreements (SLAs). And Google is releasing new performance and security support for Google Compute Engine.
Today Google Cloud Platform announced that several of is database storage products, that were formally in beta, are now generally available. The products that are now generally available include Cloud SQL Second Generation, Cloud Bigtable, and Cloud Datastore. Not only are these products now generally available they are also covered by corresponding Service Level Agreements (SLAs). And Google is releasing new performance and security support for Google Compute Engine.
Google’s fully-managed database service offering MySQL instances, Cloud SQL, is out of beta with a few new aspects added to it. Cloud SQL now features support for MySQL 5.7, point-in-time-recovery (PITR), automatic storage re-sizing, and setting up failover replicas with a single click. Google also states that its Cloud SQL product delivers industry-leading throughput, though no further specifics were given.
Google is also bringing Cloud Bigtable, its fully-managed NoSQL wide-column database service with Apache HBase client compatibility, and Cloud Datastore, its scalable, fully-managed NoSQL document database that serves 15 trillion requests a month, out of beta. Several customers have used Cloud Bigtable for workloads such as monitoring, financial and geospatial data analysis. Cloud Datastore SLA claims a monthly uptime of 99.95%.
Google has also announced new security and performance support for its Google Compute Engine that include:
- Microsoft SQL Server images available on Google Compute Engine – Enterprise customers emphasize the importance of continuity for their mission-critical applications. Google claims that the unique strengths of Google Compute Engine makes it the best environment to run Microsoft SQL Server featuring images with built-in licenses (in beta), as well as the ability to bring existing application licenses.
- Increased IOPS for Persistent Disk volumes – Database workloads are dependent on great block storage performance, so Google is increasing the maximum read and write IOPS for SSD-backed Persistent Disk volumes from 15,000 to 25,000 at no additional cost, servicing the needs of the most demanding databases.
- Custom encryption for Google Cloud Storage – Users storing database backups, now have the added option of using customer-supplied encryption keys. This feature allows Cloud Storage to be a zero-knowledge system without access to the keys.
- Low-latency for Google Cloud Storage Nearline storage – Google Cloud Storage Nearline offers object storage at costs less than tape. Prior to today, retrieving data from Nearline incurred 3 to 5 seconds of latency per object, now it enables access times and throughput similar to Standard class objects. These faster access times and throughput give customers the ability to leverage big data tools such as Google BigQuery to run federated queries across stored data.
Sign up for the StorageReview newsletter
