Next-generation database developer MongoDB and Google Cloud are extending the strategic alliance they launched two years ago with a new partnership deal under which the MongoDB Atlas cloud database will be integrated with a slew of Google Cloud services.

The move is expected to provide systems integrators, ISVs and other solution provider partners of the two companies with new opportunities in cloud application development and cloud data migration.

Google Cloud and MongoDB have undertaken the joint engineering task of integrating MongoDB Atlas with a number of Google applications and services that run on the Google Cloud Platform including BigQuery data warehouse, Pub/Sub publish and subscribe messaging, Dataflow data processing, Dataproc managed Hadoop and Spark, TensorFlow machine learning, Cloud Run serverless computing, Cloud Functions serverless execution, App Engine platform-as-a-service, and the Google Kubernetes Engine container environment.

The new pre-built integrations and reference architectures being developed by MongoDB and Google Cloud will make it easier for an ISV partner or an in-house developer to build applications that tie into both MongoDB Atlas and all those Google Cloud services, said Alan Chhabra, MongoDB senior vice president of worldwide partners.

“A developer, who is the person who uses MongoDB the most, potentially can now get a full-stack architecture to develop applications centered around MongoDB Atlas and Google Cloud services,” said Chhabra in an interview with CRN.

The joint development initiative “really solidifies the amount of pre-built integration work between the two companies’ platforms,” said Chhabra.

In February 2020 Google bought Cornerstone Technology and its tools for migrating mainframe workloads to the cloud. Those mainframe modernization tools now support MongoDB Atlas, the companies said Thursday, making it easier to convert legacy Cobol code on mainframes into Java-based applications that can run on MongoDB.

Those capabilities will assist global and regional systems integration partners that MongoDB and Google Cloud work with for projects to modernize legacy mainframe applications and move them to Google Cloud, said Chhabra.

Shortly after taking the job of Google Cloud CEO, Thomas Kurian said the company would work more closely with developers of open-source software. In 2019 MongoDB took Google Cloud up on that promise, striking a go-to-market partnership through which MongoDB Atlas was offered through the Google Cloud Platform Marketplace.

And in 2020 MongoDB Atlas became a fully managed service directly integrated with the Google Console, providing integrated billing and support for the companies’ joint customers.

This week Chhabra said that in the last year MongoDB and Google Cloud have seen a 300 percent year-over-year increase in joint customer wins, particularly in such vertical industries as financial services and retail.

Altogether the database vendor has some 22,600 customers.

MongoDB runs on all three of the hyper-scale cloud platforms, including Amazon Web Services and Microsoft Azure. (AWS offers Amazon DocumentDB, its own database software that some observers see as competing with MongoDB.)

In 2019 MongoDB allied with Alibaba to bring its cloud database service to China.

“We are delighted to expand our partnership with MongoDB to deliver Atlas at global scale on Google Cloud and help businesses leverage data in their digital transformations,” said Kevin Ichhpurani, corporate vice president, global ecosystem at Google Cloud, in a statement. “This announcement builds on our shared commitment to helping businesses build a foundation for data-driven transformation. We are excited to build on significant customer successes with MongoDB on Google Cloud.”

Teradata, the cloud data analytics platform company, announced general availability of Teradata Vantage on Google Cloud. This as-a-service offering provides access to Vantage – the powerful data and analytics platform that unifies analytics, data lakes and data warehouses – using increasingly popular Google Cloud resources. Teradata provisions and maintains secure, scalable environments on Google Cloud so that customers can focus on using data as one of their greatest assets.

This expansion of cloud data analytics options gives Teradata customers deployment flexibility. Teradata is the only data warehouse and analytics company to provide consistent features and software across on-premises, hybrid and multi-cloud environments on all three of the top public clouds. This flexibility includes both license and application portability that makes migrations to Google Cloud faster, with lower risk.

Teradata is committed to providing the best enterprise data analytics in the cloud. For us, this means offering our customers modern data analytics, but also flexibility with deployment options that don’t limit choice or lock them in. Customers seem to appreciate this strategy, as our annual recurring revenue from cloud offerings doubled in 2019 and is on track to double again this year,” said Hillary Ashton, Chief Product Officer at Teradata. “Every company’s cloud strategy is different: for customers interested in cloud data analytics offerings using Google Cloud, Teradata is the only partner to meet their needs today, as well as tomorrow as their needs evolve.”

Subscriptions to Vantage on Google Cloud include the latest Teradata software, Google Cloud compute and storage resources, and environment management. Standard benefits of using the cloud for data analytics – agility to respond quickly to emerging situations as well as freeing up money and time to focus on more valuable activities – are amplified with as-a-service offerings. Teradata manages the performance, security, availability, and operations of a customer’s analytics infrastructure using Google Cloud, including detailed tasks like software patches, version upgrades and security monitoring with a 99.9% availability SLA.

Organizations need to drive real value from their data, and we are delighted to partner with Teradata to help them do so,” said Kevin Ichhpurani, Corporate Vice President, Global Ecosystem at Google Cloud. “Bringing Teradata Vantage to Google Cloud provides our joint customers with a seamless path to hybrid cloud data storage and analytics, leveraging global, scalable infrastructure as well as Google Cloud’s differentiated capabilities in AI/ML.”

Specifically designed, cloud-first elements in Teradata Vantage add further benefits for joint Teradata-Google Cloud customers:

Size and Scale: With support for large configurations (up to 128 virtual machines) and a 99.9% availability guarantee, Vantage on Google Cloud offers customers with exceptional data needs a new public cloud solution.
First Party Service Integration: Users can join with and query data in Google Cloud Storage, Persistent Disk, and soon also Dataproc, as well as integrate with preferred data pipeline, business intelligence, and visualization tools such as Pub/Sub, Cloud Functions, Data Fusion, Looker, and more.
Customer Experience: Google Cloud’s Live Migration technology helps Vantage on Google Cloud customers mitigate the impact of both planned and unplanned maintenance by migrating running instances to new ones instead of requiring them to be rebooted, soothing business interruptions.
Separation of Compute and Storage: Coupled with simple point-and-click elasticity, independent resource scaling enables Vantage on Google Cloud to more efficiently match customer workload demands.
Vantage Software Consistency: Customers can re-use previous Teradata investments and eliminate recoding when migrating from on-premises to Google Cloud, thereby saving money and reducing risk.
As with all Vantage delivered as-a-service deployments, Vantage on Google Cloud provides near real-time data analytics with multi-dimensional scalability and concurrency. Workload management on Vantage offers unrestricted data analytics and a seamless user experience that does not require knowledge about where a particular dataset resides. Support for many popular data analytics languages – SQL, R, Python, SAS and Java – is included and simplified budgeting via predictable subscription pricing with no hidden fees eliminates billing surprises to ensure financial clarity.