Google Cloud Platform offers services to address variety of workload requirements

Google has introduced some new database features along with partnerships, beta news and other improvements that help users get most of their databases for their businesses.

One can choose cloud to host applications from a portfolio of database options – such as SQL, NoSQL, relational, non-relational, scale up/down, scale in/out – but Google Cloud Platform (GCP) provides a comprehensive package of managed database services to address a variety of workload requirements.

This is what Google is now offering:

  • Oracle workloads can now be brought to GCP
  • SAP HANA workloads can run on GCP persistent-memory VMs
  • Cloud Firestore launching for all users developing cloud-native apps
  • Regional replication, visualisation tool available for Cloud Bigtable
  • Cloud Spanner updates

Google is joining hands with managed service providers (MSPs) to provide a fully managed service for Oracle workloads for GCP customers. Such partner-managed services unlock the ability to run Oracle workloads and leverage the rest of the GCP platform.

It's possible for users to run their Oracle workloads on dedicated hardware and then connect the applications running on GCP. It can offer fully managed services for Oracle workloads with the same advantages as GCP services by collaborating with a trusted managed service provider.

Users can choose the offering that suits their requirements, along with existing investment in Oracle software licenses. Google is providing an opportunity to customers and partners whose technical requirements do not fit neatly into the public cloud. They will be able to move their workloads to GCP by working with partners and take advantage of the benefits of not having to manage hardware and software.

Recently, Google collaborated with Intel and SAP to offer Compute Engine virtual machines supported by the upcoming Intel Optane DC Persistent Memory for SAP HANA workloads.

Google Compute Engine VMs with this Intel Optane DC persistent memory will offer higher overall memory capacity and lower cost compared to instances with only dynamic random-access memory (DRAM).

The company is continuing to scale its instance size roadmap for SAP HANA production workloads. It is working on new virtual machines that support 12TB of memory instead of the currently used 4TB by the summer of 2019, and 18TB by the end of 2019.

Google is expanding the availability of the Cloud Firestore beta to more users by bringing the UI to the GCP console.

Cloud Firestone is a serverless, NoSQL document database that simplifies storing, syncing and querying data for your cloud-native apps at global scale.

According to the company, it will also support Datastore Mode in the coming weeks. Currently available in beta, Cloud Firestore is the next generation of Cloud Datastore that offers compatibility with the Datastore API and existing client libraries.

Google Cloud Bigtable – a high-throughput, low-latency, and massively scalable NoSQL database – is an ideal option for analytical and operational workloads. The company has announced its general availability for regional replication. It has also launched client libraries for Node.js (beta) and C# (beta).

Google will is also planning to launch Python (beta), C++ (beta), native Java (beta), Ruby (alpha) and PHP (alpha) client libraries in the coming months.

What are your thoughts on Google's latest announcements? Let us know in the comments.