Oracle and Google Cloud have unveiled a groundbreaking collaboration, introducing an industry-first partner program and powerful new capabilities for Oracle Database@Google Cloud. This partnership aims to redefine multicloud solutions, offering customers enhanced flexibility, scalability, and innovation.

The announcement includes the planned availability of the Oracle Base Database Service on Oracle Database@Google Cloud, alongside expanded capabilities such as support for Oracle Exadata X11M and Oracle Interconnect for Google Cloud for U.S. Government Cloud customers. Additionally, 11 new regions are set to launch within the next 12 months to meet growing customer demand.

The new partner program will enable Oracle and Google Cloud partners to purchase Oracle Database@Google Cloud through the Google Cloud Marketplace and resell it to their customers. This initiative is designed to empower technology partners to integrate Oracle Database@Google Cloud into their solutions, fostering innovation and addressing emerging use cases.

Karan Batta, Senior Vice President, Oracle Cloud Infrastructure said, “The upcoming reseller program for Oracle Database@Google Cloud is not only a first for us but also for the multicloud market overall. This milestone reflects our commitment to meeting the evolving needs of organizations worldwide.”

While also, Andi Gutmans, Vice President and General Manager of Databases, Google Cloud said, “Our collaboration with Oracle has always prioritized our joint customers’ needs. The availability of Oracle Base Database Service will further accelerate cloud migrations with the technical strengths required for business-critical workloads.”

This partnership underscores Oracle and Google Cloud’s dedication to delivering innovative multicloud solutions, enabling businesses to harness the combined strengths of Oracle’s database technology and Google Cloud’s analytics and AI tools.

Additional Features

1. Advanced Analytics Integration: Emphasize how the database capabilities seamlessly integrate with Google Cloud’s advanced analytics tools to provide actionable insights.
2. AI-Driven Innovations: Mention any potential AI tools that could leverage Oracle Database for enhanced predictive analytics and machine learning applications.
3. Improved Security: Detail cutting-edge security features ensuring data protection across multicloud environments.
4. Global Accessibility: Highlight the accessibility of the database across various geographical regions with high-speed interconnects.
5. Enhanced User Experience: Include usability improvements, such as simplified onboarding or user-friendly interfaces for database management.
6. Industry-Specific Solutions: Showcase tailored solutions for industries like healthcare, finance, and retail.

Benefits

1. Cost-Efficiency: Outline savings through optimized database services and reduced cloud migration costs.
2. Scalability for Growth: Stress the ability to scale services to meet growing data and performance requirements.
3. Streamlined Multicloud Operations: Emphasize smooth integration across multiple cloud platforms, reducing complexity and downtime.
4. Partner Program Advantages: Share how the new program supports partners in accelerating their innovation, offering them broader opportunities to deliver cutting-edge solutions.
5. Faster Deployment Times: Highlight reduced deployment times for critical workloads due to streamlined processes.

Other such cloud database partnerships that were successful

Here are a few successful examples of collaborations between cloud providers and database companies:

1. Oracle and Microsoft Azure Partnership: This collaboration introduced the OCI-Azure Interconnect, enabling seamless multicloud operations with low-latency connections. It allowed customers to use Oracle Database services alongside Microsoft Azure applications, providing flexibility and cost savings.
2. AWS and MongoDB: Amazon Web Services (AWS) partnered with MongoDB to offer managed database services, enhancing scalability and performance for applications requiring NoSQL databases.
3. Google Cloud and SAP: Google Cloud collaborated with SAP to integrate SAP’s enterprise resource planning (ERP) systems with Google Cloud’s AI and analytics tools, enabling businesses to optimize operations and gain deeper insights.

These partnerships demonstrate how combining strengths can lead to innovative solutions and improved customer experiences. Let me know if you’d like to explore any of these examples further!

Google Cloud Next San Francisco, the annual flagship event of Google Cloud, took place from August 29 to August 31, 2023, at the Moscone Center in San Francisco, California. The event attracted over 30,000 attendees from around the world, who came to learn, connect, and explore the latest innovations and trends in cloud computing. The event also featured over 500 sessions, 200 exhibitors, 100 community events, and 50 keynote speakers, who shared their insights, best practices, and success stories on how to leverage Google Cloud’s products, services, and solutions.

Google Cloud Next San Francisco was an exciting and inspiring event that showcased the best of Google Cloud’s vision, strategy, and roadmap for the future. Here are some of the highlights that you might have missed from Google Cloud Next San Francisco.

Keynote sessions

The keynote sessions were led by Google Cloud’s top executives, such as Thomas Kurian, CEO; Rob Enslin, President; Urs Hölzle, Senior Vice President; and Diane Greene, Board Member. They announced new product launches, partnerships, and customer stories that demonstrated how Google Cloud is transforming various industries and sectors.

Google Cloud Anthos

A new hybrid and multi-cloud platform that enables customers to run their applications on any cloud or on-premises environment with consistent management and security. Anthos supports both Google Kubernetes Engine (GKE) and third-party Kubernetes clusters, as well as virtual machines and bare metal servers. Anthos also integrates with various Google Cloud services, such as Cloud Run, Cloud Functions, Cloud Storage, Cloud SQL, and more.

Google Cloud AI Platform

A new end-to-end platform that simplifies the development and deployment of artificial intelligence (AI) and machine learning (ML) applications. AI Platform provides a unified interface for data ingestion, data preparation, data analysis, model building, model testing, model deployment, model monitoring, and model optimization. AI Platform also supports various frameworks and tools, such as TensorFlow, PyTorch, scikit-learn, XGBoost, Kubeflow Pipelines, AutoML, and more.

Google Cloud Data Fusion

A new fully managed data integration service that enables customers to easily access, transform, and combine data from various sources. Data Fusion provides a graphical user interface for creating data pipelines without coding. Data Fusion also supports various connectors for different data sources and destinations, such as BigQuery, Cloud Storage, Pub/Sub, Dataflow, Dataproc, Datastore, Firestore, Spanner, MySQL, PostgreSQL, Oracle, SQL Server, MongoDB, Salesforce, SAP, and more.

Google Cloud Security Command Center

A new comprehensive security management and response service that helps customers protect their cloud assets from threats and vulnerabilities. Security Command Center provides a dashboard for monitoring the security posture of cloud resources across projects and organizations. Security Command Center also integrates with various security products and services from Google Cloud and third-party vendors, such as Forseti, Cloud Armor, Cloud IAM, VPC Service Controls, Binary Authorization, Access Transparency, Chronicle, Palo Alto Networks, Qualys, RedLock, McAfee, and more.