Multicloud

Using Oracle Cloud and Microsoft Azure Interconnect allows customers to migrate workloads to the cloud or build new applications that leverage the best of OCI and Azure. Customers can quickly migrate on-premises applications, leverage a broader range of tools, and integrate their OCI and Azure implementations as a single, unified enterprise cloud solution.

Customers can also move interdependent enterprise applications to the cloud, deploy custom and packaged applications across OCI and Azure, and develop cloud native applications in both cloud environments. Most importantly, customers can migrate on-premises applications to the cloud while preserving application architectures, taking advantage of high-performance Oracle Autonomous Database and Exadata Database optimizations and maintaining interoperability across deployments.

Pricing for the Oracle Cloud and Microsoft Azure Interconnect is based solely on the capacity of the ports provisioned on OCI FastConnect and Azure ExpressRoute Local Circuit. There are no additional charges for inbound or outbound bandwidth consumed.

The interconnect provides an innovative value proposition for customers of Oracle and Microsoft technologies. The solution enables customers to get the best of both worlds by running workloads on both Oracle Cloud Infrastructure and Microsoft Azure.

Roy Illsley
Chief Analyst, Omdia

Oracle Cloud Infrastructure integration services connect any application and data source to automate and manage end-to-end processes across clouds and on-premises environments. Digital-first engagement with customers and employees has highlighted the challenges of fragmented integration approaches for quickly implementing, changing, and upgrading your business systems.

According to a McKinsey survey, C-level executives and senior managers are three times likelier now than before the pandemic to say that at least 80 percent of their customer interactions are digital in nature.¹ But in related McKinsey research, just 16 percent of executives say their company’s digital transformations are succeeding.² These studies show the importance of having a modern, multicloud integration platform to improve customer and employee experiences while accelerating digital transformation.

Integration feature differentiation

• Prebuilt application integration and process automation for quick connectivity.
• Gain end-to-end visibility across SaaS, custom, and on-premises apps.
• No-code dataflow designer for ETL/E-LT to accelerate data science and analytics.
• Design, execute, and monitor data mesh replication and stream data processing.
• Expose your APIs for developers and partners to create new business models.
• Real-time, serverless, Apache Kafka–compatible event streaming.

We went from a situation where we basically couldn’t have done it to three months later, we fully automated the process flow.

Conny Bjorling
Head of Enterprise Architecture, Skanska

Oracle Cloud Observability and Management Platform provides integrated cloud capabilities to monitor and manage multicloud and on-premises environments.

A persistent problem in a multicloud environment is how to detect, diagnose, and remediate issues before users are impacted. Traditional monitoring tools aren’t equipped to address these challenges.

According to an IDC survey, 77%¹ of the IT and LOB decision makers recently polled worldwide indicate they somewhat or strongly agree that comprehensive end-user visibility and observability analytics are critical to optimizing digital infrastructures.

Observability feature differentiation

• User experience monitoring, synthetic monitoring, and distributed transaction tracing
• Logging and log analytics with machine learning
• Alarms and messages via platforms such as PagerDuty, email, and Slack
• Database resource capacity planning and forecasting models
• Infrastructure as code with Terraform
• Service connectors for event-driven apps

With the release of the new Observability and Management solution, Oracle delivers another industry first. This end-to-end approach for on-premises and multicloud management not only clearly benefits customers but also provides an open platform for partners to plug in their offerings. The integrations with Grafana, PagerDuty, and Slack and support for standards from the Cloud Native Computing Foundation such as CloudEvents and OpenTracing demonstrate Oracle’s commitment to interoperability.

Holger Mueller
Vice President and Principal Analyst, Constellation Research

Oracle Autonomous Database and Oracle Exadata Database services provide the high performance, scalability, and availability that enterprise applications running in multicloud environments need. Accessing Oracle database services from applications running on Microsoft Azure, AWS, and other public or private clouds allows organizations to gain the benefits of industry-leading Exadata performance for transaction processing, analytics, and mixed workloads.

Autonomous Database helps organizations simplify data management and reduce costs with automatic monitoring, tuning, scaling, patching, data protection, and security. Built-in database lifecycle automation eliminates manual management tasks and helps increase developer productivity.

More than fifty FastConnect partners—including Equinix, Megaport, AT&T Business, BT, and Verizon—allow customers to deploy multicloud environments anywhere they’re needed.

For CxOs making decisions regarding their next-generation computing platform, Oracle brings a lot to the table. With the highest identicality of cloud and on-premises products available, Oracle makes it easy to transfer workloads from on-premises environments to the cloud and vice versa.

Holger Mueller
Vice President and Principal Analyst, Constellation Research

Read the Constellation Research analysis (PDF)

Differentiation

• Optimized for all database workloads, data types, and development styles
• Database IO latency of less than 19 microseconds for OLTP applications
• Hundreds of gigabytes per second of analytics and machine learning throughput
• Online scaling to hundreds or thousands of vCPUs without downtime
• Scalable storage enables the analysis of 25-PB data warehouses
• Compatibility with on-premises environments simplifies cloud moves

Resources

• Press release: Oracle scores highest in all use cases in 2021 Gartner® Critical Capabilities for Cloud Database Management Systems for Operational Use Cases
• Wikibon says Autonomous Database costs 47% less than AWS (PDF)
• See what top analysts are saying about Oracle Autonomous Data Warehouse
• Get started with Oracle Autonomous Database for free
• Visit the Autonomous Database web page
• Visit the Exadata Database service web page

MySQL HeatWave lets organizations run OLTP and OLAP workloads directly from their MySQL Database, eliminating the need for complex, time-consuming, and expensive data movement and integration with separate analytics databases. Its massively parallel, high-performance, in-memory query accelerator improves performance by orders of magnitude for analytics and mixed workloads. MySQL HeatWave is 6.5X faster than Amazon Redshift at half the cost, 7X faster than Snowflake at one-fifth the cost, and 1,400X faster than Amazon Aurora at half the cost.

Organizations running applications in multicloud environments can take advantage of MySQL HeatWave’s high performance, cost savings, and integrated capabilities by accessing it directly via the Oracle Interconnect for Azure or OCI FastConnect services.

MySQL HeatWave is also available on Amazon Web Services (AWS). MySQL HeatWave combines OLTP, analytics, and machine learning–based automation within a single MySQL Database. AWS users can run transaction processing, analytics, and machine learning workloads in one service, without requiring time-consuming ETL duplication between separate databases, such as Amazon Aurora for transaction processing, Amazon Redshift or Snowflake on AWS for analytics, and SageMaker for machine learning.

Oracle’s continued innovation in machine learning techniques with MySQL HeatWave Autopilot is proceeding at an unprecedented rate. This announcement alone includes auto thread pooling, auto shape prediction, richer ML models for Autopilot, and the integration of Autopilot with a new interactive console. These innovations are pushing the boundaries of ML-based automation and placing MySQL HeatWave at the forefront of cloud database services in providing workload-aware automation. Plus, with significant enhancements for OLTP processing—higher throughput, differentiated security features—MySQL HeatWave on AWS is a very compelling solution not just for analytics but also for OLTP and mixed workloads, as may be seen in publicly available benchmarks.

—Carl Olofson
Research Vice President, Data Management Software, IDC

Differentiation

• Single database for OLTP and OLAP
• Enables real-time analytics on OLTP transactions without ETL processes
• No changes required to current MySQL apps and BI tools
• Massively parallel, in-memory query acceleration directly from MySQL Database
• MySQL Autopilot automates achieving high query performance at scale
• Automated provisioning, parallel loading, and query plan improvement

Resources

• Read the Gartner newsletter (PDF)
• See what analysts are saying about HeatWave
• Oracle Announces MySQL HeatWave on AWS
• Try MySQL HeatWave for free
• See the reference architectures
• Launch a workshop
• Visit the MySQL HeatWave web page