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Oracle AI Database Enhanced

Oracle announced a comprehensive series of enhancements to Oracle AI Database. 

These enhancements help customers achieve extreme availability and security for all database applications, and always-on, stock-exchange level availability for their most critical workloads without requiring application changes or extensive in-house expertise.

“Oracle Database today powers over 90 percent of the world’s largest enterprises, and tens of thousands of smaller enterprises, all of which require ultra-high availability and throughput for their mission-critical workloads,” said Juan Loaiza, executive vice president, Oracle AI Database Technologies, Oracle. “Oracle AI Database 26ai on Exadata now delivers Platinum-tier availability with disaster failover times typically under 30 seconds, including for high-throughput multi-node clusters. This is up to 4X faster than Oracle Database 19c without requiring application changes or performance tradeoffs. For the most demanding applications, Oracle Distributed AI Database and Oracle GoldenGate can deliver Diamond-tier availability with disaster failover typically under three seconds. We have also introduced new security capabilities to help address emerging risks from quantum computing and AI-driven data breaches.”

Oracle Database’s Gold-tier availability is widely deployed today by the majority of the largest enterprises and governments around the world. It uses Oracle’s Real Application Clusters to transparently scale applications across multiple computers, and to protect from failures of individual computers. It also uses Oracle Active Data Guard to protect against disasters, site failures, and data failures. This Gold-tier availability achieves disaster failover times in seconds for single-computer applications and in low single-digit minutes for high-throughput multi-node clusters.

Customers with Gold-tier availability are upgraded to Platinum-tier availability with disaster failover times typically under 30 seconds, even for cross-region failovers of ultra-high throughput multi-node clusters. Platinum-tier availability requires no application changes and is available for any database workload in all leading clouds as well as on-premises. It is provided at no additional charge by just upgrading the Oracle Database and Exadata software.

Oracle Platinum-tier availability is now available for customers running Oracle Active Data Guard and Oracle Real Application Clusters (RAC) on Oracle AI Database 26ai and Exadata, without the need for any application changes. All applications, from simple single-computer workloads to ultra-high throughput ones running on large Oracle RAC clusters of multiple computers, can transparently take advantage of MAA Platinum-tier capabilities. Upgrading to Oracle AI Database 26ai on Exadata enables customers to immediately benefit from much faster failovers and less downtime with no additional effort. Enhanced Oracle AI Database 26ai capabilities for the MAA Platinum-tier include:

  • Oracle Data Guard Failover/Switchover: Helps customers achieve typical disaster failover times under 30 seconds for extremely large and complex deployments by delivering up to 4X faster failover. Data Guard also simplifies zero-downtime software updates and helps reduce costs by offloading read workloads to standby databases.
  • Oracle Active Data Guard Remote Data Transfers: Delivers up to 2X faster remote data transfers for unencrypted data, and up to 9X faster remote data transfers for encrypted data compared to Oracle Database 19c. This enables ultra-high throughput databases to use encrypted data transfer with minimal performance impact.
  • Oracle RAC Fast Restart Recovery: Helps reduce downtime created by node failures or planned maintenance operations. With Oracle AI Database 26ai RAC, online transaction processing (OLTP) applications can resume work up to 10X faster after a computer failure, and Pluggable Database startup is up to 2X faster.
  • Oracle Transparent Application Continuity: Enables applications running against Oracle AI Database to continue running without interruptions or errors when a failure or upgrade occurs in a back-end database computer. Applications now benefit from transparency for more application use cases, queries failover 40 percent faster, and the CPU overhead is up to 50 percent lower in the database and 55 percent lower in the client.
  • Oracle True Cache: Improves application response time by offloading reads from the primary database to consistent, in-memory, SQL caches. It also maintains read access to cached data during primary database outages, improving overall availability. Applications can achieve up to 10X faster query response and up to 2X faster read performance by using True Cache. Unlike other caching solutions, True Cache automatically stays synchronized with updates that occur on the back-end database, avoiding data inconsistency. This reduces development effort and overall costs.
  • Oracle Zero Data Loss Autonomous Data Guard: Provides users of Autonomous AI Database Serverless with zero data loss protection for full database failovers. Available out-of-the-box at no additional charge on all leading clouds, this new zero-loss recovery capability lowers recovery point objectives (RPO) to zero for Autonomous Databases configured with Autonomous Data Guard.

Oracle Diamond-tier availability builds on the capabilities of Platinum-tier by enabling applications that are designed for extreme availability to achieve zero data loss and failover times that are typically under three seconds. Enhanced capabilities include:

  • Oracle Diamond-tier Architecture: Enables customers to dramatically reduce downtime and its associated costs by using a combination of Oracle technologies in an integrated Diamond-tier architecture. The combination of Oracle AI Database 26ai, Oracle Exadata, Oracle Real Application Clusters (RAC), Oracle Active Data Guard, Oracle Zero Data Loss Recovery services, and logical data replication provided by either Oracle GoldenGate or Oracle Globally Distributed AI Database provides unprecedented protection and availability from all types of threats.
  • Oracle GoldenGate 26ai: Enables customers to achieve MAA Diamond-tier availability for ultra-critical applications by providing active-active data replication across geographically distributed regions, enabling zero data loss for full database failovers with recovery time that is typically between zero and three seconds. Built-in automatic conflict detection and resolution help ensure data remains consistent even when the data is simultaneously updated at multiple sites. GoldenGate is provided as a fully managed service on Oracle Cloud Infrastructure (OCI) and other clouds, simplifying configuration and management.
  • Oracle Globally Distributed AI Database: Delivers automatic, zero data loss failover both within and across regions, with failover times under three seconds by leveraging synchronous Raft replication. Upcoming support for asynchronous cross-region replication will further extend flexibility by enabling cross-region deployments without increasing transaction latency. The system can span multiple clouds and on-premises environments, enabling extreme active-active availability, even during cloud vendor outages, while also helping meet stringent data residency requirements.

Oracle AI Database delivers extreme levels of availability with pushbutton ease, stock-exchange-level availability with MAA Diamond-tier, enhanced security and resilience, and scalable performance, helping enterprises large and small protect their most critical data assets to get the most out of them.

The Latest

In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...

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Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

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Oracle AI Database Enhanced

Oracle announced a comprehensive series of enhancements to Oracle AI Database. 

These enhancements help customers achieve extreme availability and security for all database applications, and always-on, stock-exchange level availability for their most critical workloads without requiring application changes or extensive in-house expertise.

“Oracle Database today powers over 90 percent of the world’s largest enterprises, and tens of thousands of smaller enterprises, all of which require ultra-high availability and throughput for their mission-critical workloads,” said Juan Loaiza, executive vice president, Oracle AI Database Technologies, Oracle. “Oracle AI Database 26ai on Exadata now delivers Platinum-tier availability with disaster failover times typically under 30 seconds, including for high-throughput multi-node clusters. This is up to 4X faster than Oracle Database 19c without requiring application changes or performance tradeoffs. For the most demanding applications, Oracle Distributed AI Database and Oracle GoldenGate can deliver Diamond-tier availability with disaster failover typically under three seconds. We have also introduced new security capabilities to help address emerging risks from quantum computing and AI-driven data breaches.”

Oracle Database’s Gold-tier availability is widely deployed today by the majority of the largest enterprises and governments around the world. It uses Oracle’s Real Application Clusters to transparently scale applications across multiple computers, and to protect from failures of individual computers. It also uses Oracle Active Data Guard to protect against disasters, site failures, and data failures. This Gold-tier availability achieves disaster failover times in seconds for single-computer applications and in low single-digit minutes for high-throughput multi-node clusters.

Customers with Gold-tier availability are upgraded to Platinum-tier availability with disaster failover times typically under 30 seconds, even for cross-region failovers of ultra-high throughput multi-node clusters. Platinum-tier availability requires no application changes and is available for any database workload in all leading clouds as well as on-premises. It is provided at no additional charge by just upgrading the Oracle Database and Exadata software.

Oracle Platinum-tier availability is now available for customers running Oracle Active Data Guard and Oracle Real Application Clusters (RAC) on Oracle AI Database 26ai and Exadata, without the need for any application changes. All applications, from simple single-computer workloads to ultra-high throughput ones running on large Oracle RAC clusters of multiple computers, can transparently take advantage of MAA Platinum-tier capabilities. Upgrading to Oracle AI Database 26ai on Exadata enables customers to immediately benefit from much faster failovers and less downtime with no additional effort. Enhanced Oracle AI Database 26ai capabilities for the MAA Platinum-tier include:

  • Oracle Data Guard Failover/Switchover: Helps customers achieve typical disaster failover times under 30 seconds for extremely large and complex deployments by delivering up to 4X faster failover. Data Guard also simplifies zero-downtime software updates and helps reduce costs by offloading read workloads to standby databases.
  • Oracle Active Data Guard Remote Data Transfers: Delivers up to 2X faster remote data transfers for unencrypted data, and up to 9X faster remote data transfers for encrypted data compared to Oracle Database 19c. This enables ultra-high throughput databases to use encrypted data transfer with minimal performance impact.
  • Oracle RAC Fast Restart Recovery: Helps reduce downtime created by node failures or planned maintenance operations. With Oracle AI Database 26ai RAC, online transaction processing (OLTP) applications can resume work up to 10X faster after a computer failure, and Pluggable Database startup is up to 2X faster.
  • Oracle Transparent Application Continuity: Enables applications running against Oracle AI Database to continue running without interruptions or errors when a failure or upgrade occurs in a back-end database computer. Applications now benefit from transparency for more application use cases, queries failover 40 percent faster, and the CPU overhead is up to 50 percent lower in the database and 55 percent lower in the client.
  • Oracle True Cache: Improves application response time by offloading reads from the primary database to consistent, in-memory, SQL caches. It also maintains read access to cached data during primary database outages, improving overall availability. Applications can achieve up to 10X faster query response and up to 2X faster read performance by using True Cache. Unlike other caching solutions, True Cache automatically stays synchronized with updates that occur on the back-end database, avoiding data inconsistency. This reduces development effort and overall costs.
  • Oracle Zero Data Loss Autonomous Data Guard: Provides users of Autonomous AI Database Serverless with zero data loss protection for full database failovers. Available out-of-the-box at no additional charge on all leading clouds, this new zero-loss recovery capability lowers recovery point objectives (RPO) to zero for Autonomous Databases configured with Autonomous Data Guard.

Oracle Diamond-tier availability builds on the capabilities of Platinum-tier by enabling applications that are designed for extreme availability to achieve zero data loss and failover times that are typically under three seconds. Enhanced capabilities include:

  • Oracle Diamond-tier Architecture: Enables customers to dramatically reduce downtime and its associated costs by using a combination of Oracle technologies in an integrated Diamond-tier architecture. The combination of Oracle AI Database 26ai, Oracle Exadata, Oracle Real Application Clusters (RAC), Oracle Active Data Guard, Oracle Zero Data Loss Recovery services, and logical data replication provided by either Oracle GoldenGate or Oracle Globally Distributed AI Database provides unprecedented protection and availability from all types of threats.
  • Oracle GoldenGate 26ai: Enables customers to achieve MAA Diamond-tier availability for ultra-critical applications by providing active-active data replication across geographically distributed regions, enabling zero data loss for full database failovers with recovery time that is typically between zero and three seconds. Built-in automatic conflict detection and resolution help ensure data remains consistent even when the data is simultaneously updated at multiple sites. GoldenGate is provided as a fully managed service on Oracle Cloud Infrastructure (OCI) and other clouds, simplifying configuration and management.
  • Oracle Globally Distributed AI Database: Delivers automatic, zero data loss failover both within and across regions, with failover times under three seconds by leveraging synchronous Raft replication. Upcoming support for asynchronous cross-region replication will further extend flexibility by enabling cross-region deployments without increasing transaction latency. The system can span multiple clouds and on-premises environments, enabling extreme active-active availability, even during cloud vendor outages, while also helping meet stringent data residency requirements.

Oracle AI Database delivers extreme levels of availability with pushbutton ease, stock-exchange-level availability with MAA Diamond-tier, enhanced security and resilience, and scalable performance, helping enterprises large and small protect their most critical data assets to get the most out of them.

The Latest

In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...

AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.