For the seventh time in a row, Oracle Autonomous AI Transaction Processing (ATP) scored highest out of 19 vendors in the OLTP Transactions Use Case in the 2025 Gartner® Critical Capabilities for Cloud Database Management Systems for Operational Use Cases. ATP also scored second highest in the Lightweight Transactions and Application State Management Use Cases.

2025 Gartner® Critical Capabilities for Cloud Database Management Systems (Cloud DBMS) for Operational Use Cases - Vendor Product Scores for the OLTP Use Case

Critical Capabilities for Cloud Database Management Systems for Operational Use Cases, Ramke Ramakrishnan, Masud Miraz, Xingyu Gu, Henry Cook, Aaron Rosenbaum, 19 November 2025.
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The 2025 Gartner® Critical Capabilities for Cloud Database Management Systems (Cloud DBMS) for Operational Use Cases covers the essential solutions that can help customers solve operational challenges and meet the demands of modern applications. Gartner defines the market for Cloud DBMS as software products that store and manipulate data and are primarily delivered as platform as a service (PaaS) in the cloud. Cloud DBMS may optionally be capable of running on-premises or in hybrid, multicloud or intercloud configurations.

More specifically, the Gartner report addresses the needs of the online transaction processing (OLTP) use case; defined as having a centralized transaction focus and a fixed, stable schema and transactions that may be complex and require high performance. This includes providing high speed, high volume, concurrency controls, data insert/update, ACID (atomicity, consistency, isolation, and durability) properties, transaction isolation, and security for both traditional use cases in finance and insurance as well as retail, gaming and other newer OLTP workloads.

“We believe that the Gartner findings confirm Oracle Autonomous AI Transaction Processing (ATP) as a trusted choice for mission-critical OLTP environments.” said Juan Loaiza, executive vice president, Database Technologies, Oracle. “Furthermore, Oracle’s open and ubiquitous ‘AI for Data’ strategy enables customers to easily use AI with their enterprise data to help deliver breakthrough insights, drive innovation, and enhance productivity in a performant, secure, and trusted manner.”

What is Oracle Autonomous AI Database?

Oracle Autonomous AI Database (ADB) is a fully managed cloud database platform that leverages advanced AI and machine learning to automate critical operations such as provisioning, tuning, scaling, security, and backups. ADB is offered as distinct cloud services tailored to different workloads:

All ADB services can be deployed across Oracle Cloud Infrastructure (OCI) public cloud, Exadata Cloud@Customer on-premises private cloud, OCI Dedicated Regions, and within AWS, Azure, or Google Cloud data centers.

ADB’s converged architecture unifies multiple data models, workloads, and development paradigms, including relational, JSON, graph, AI and machine learning within a single, integrated platform. This enables organizations to manage and analyze diverse types of data, run transactional, analytical and mixed workloads, and develop modern applications without needing multiple single-use databases.

The latest generation of ADB services are built on Oracle AI Database 26ai, the latest long-term release of Oracle’s flagship database and a core component of Oracle’s ‘AI for Data’ strategy. Natively embedding advanced artificial intelligence and machine learning directly into our autonomous services enables organizations to automate data management, accelerate analytics, and gain deeper insights from all types of data. And, by applying AI at every stage of data storage, processing, and analysis, ADB can help users streamline operations, enhance decision-making, and foster innovation while maintaining the enterprise-grade reliability, security and compliance that is a cornerstone of Oracle DNA.

For example, Select AI Agent enables organizations to define, run, and govern AI agents within Autonomous AI Database using in-database tools, external tools over REST, or MCP Servers, supporting automated multi-step agentic workflows to help accelerate innovation while addressing data security. For customers preferring a no-code approach, the Private Agent Factory offers a builder and deployment framework that can be operated in any environment under organizational control, enabling data to remain private while leveraging the full performance and security of Autonomous AI Database. Additionally, organizations can use ONNX embedding models, integrate with LLM providers, or run private inference via Private AI Services Container to avoid transmitting data to third-party AI services.

Customers Innovating with Oracle Autonomous AI Database Services

Organizations across a variety of industries are adopting Oracle Autonomous AI Database for their transactional, analytical and AI solutions to drive competitive advantage, foster smarter decision-making, and realize greater business value from their data. Here are just a few examples:

  • Discover how Biofy, a Brazil-based medical technology innovator uses Oracle Autonomous AI Database, vector search, and high-performance computing to help accelerate antibiotic resistance diagnostics and help hospitals save lives across Latin America.
  • Discover how Oracle AI Vector Search is helping businesses in different industries unlock deeper insights from their data by combining AI-powered semantic search with the trusted performance and security of Oracle Autonomous AI Database.
  • Discover how Autonomous AI Database and Vector Search helps Rappi delivers more relevant search results, personalized recommendations, and faster platform responsiveness — cutting search latency by 40 percent and improving conversion by 25 percent.
  • Discover how DeweyVision is using Oracle AI Vector Search in the Media and Entertainment industry. DeweyVision’s Post-Production AI Copilot is designed to simplify how film footage is assembled, conformed, and archived, helping turn days of tedious manual work into mere minutes.

Try Oracle Autonomous AI Database at No Cost

Developers, DBAs and business analysts can try Oracle Autonomous AI Database at no cost using the Always Free service on Oracle Cloud Infrastructure (OCI) or offline via the container image. In addition, you can get a US$300 cloud credit to try out a wide range of Oracle Cloud services for 30 days through the Oracle Cloud Free Tier.