Google announced three additions, including Cloud SQL for Microsoft SQL Server in alpha, federated queries from BigQuery to Cloud SQL and expansion of Elastic Cloud to Japan and Sydney, to its Google database portfolio.
The offerings, according to Google, enable users to manage and run any existing and future workload on Google Cloud by integrating more open source partner services running on Google Cloud Platform (GCP).
Cloud SQL for Microsoft SQL Server in alpha
The goal of this update is to make features customers use on premises function the same way in the cloud. It enables users to bring existing SQL Server workloads to GCP and run them in the database service.
According to the vendor, this option enables enterprises to manage SQL Server workloads without changing apps and to use data from these apps with other GCP services, such as BigQuery and AI tools.
Federated queries from BigQuery to Cloud SQL
Google is extending the federated query capability to include Cloud SQL. It already supports non-BigQuery native storage systems, such as Cloud Storage, Cloud Bigtable and Sheets. The extension promises to integrate services across products and enable customers to manage and analyze data from more locations other than BigQuery.
Elastic Cloud on GCP expands to Japan and Sydney
Google is expanding the availability of Elastic Cloud in Japan and Sydney. This intends to make migrating workloads to the cloud less challenging for users as Elastic Cloud offers self-manage and SaaS offerings that make data usable instantly and at scale for activities like logging, security and analytics, according to Google.
The company announced its partnership with Elastic in 2017 to bring support of the search company's open source search and analytics platform to GCP. Google promises future integrations that would enable users to use their GCP commits toward Elastic Cloud while only receiving one bill from Google Cloud.
The internet giant has also recently announced strategic partnerships with other open source software providers in the field of data management and analytics, such as Confluent, DataStax, InfluxData, MongoDB, Neo4j and Redis Labs, planning to make these cloud managed services work like native GCP services, with a single UI, unified support and billing.