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Oracle Database 23ai: The Transformative Power of AI for Enterprise Data and Applications

Vancy Arokia - May 9, 2024 - 0 comments - 0 Views

Reading Time: 6 minutes

The wait is over as Oracle unveiled its highly anticipated Oracle Database 23ai last week. After an extensive five-year development journey with a keen focus on AI and enhancing developer productivity, this long-term support release promises to revolutionize enterprise data management. Noteworthy is the platform’s rebranding from Oracle 23C to Oracle 23ai, highlighting its renewed emphasis on AI integration.

This transformation begins a new era of possibilities, offering businesses unparalleled capabilities to leverage the power of AI, make informed decisions swiftly, get hidden insights within their data, and drive remarkable progress across all facets of their operations.

In this blog, we will discuss the potential of Oracle Database 23ai and explore how it can accelerate your digital transformation.

Oracle 23ai's Important Features

What is Oracle Database 23ai?

Oracle Database 23ai represents the cutting-edge in converged database technology, introducing an innovative feature known as AI Vector Search. This groundbreaking capability allows for the seamless searching of documents, images, and relational data using conceptual content, marking a significant leap forward in database functionality.

How is Oracle AI vector Search useful for Customers?

The innovative AI Vector Search feature empowers users to seamlessly integrate searches across documents, images, and unstructured data with private business data, all within a secure environment. Oracle Database 23ai revolutionizes AI integration by bringing advanced algorithms directly to the data location, eliminating the need to transfer or replicate data. This real-time AI processing within Oracle databases significantly enhances AI’s performance, efficiency, and security, offering a cutting-edge solution for businesses.

Key Focus Areas of Oracle 23ai

The critical features of this release highlight these 3 important focus areas:

  • AI for Data
  • Dev for Data
  • Mission Critical for Data

1. AI for Data

Harnessing AI for data, Oracle offers streamlined data management, insightful algorithms, natural language query capabilities, and the storage of AI-generated vectors for rapid object similarity searches. Now, let’s explore these functionalities in greater detail.

New Gen AI models

Conventional AI language models, such as ChatGPT or Google Gemini, often encounter challenges with outdated information and limited access to proprietary company data. However, with Oracle Database 23ai’s innovative AI Vector Search feature, a transformative capability emerges. This functionality empowers users to leverage AI technology to generate concise summaries, known as vectors, of their data sets. These vectors can then be utilized to conduct searches for similar data points in conjunction with standard database queries.

The integration of AI Vector Search introduces an invaluable layer of context, enabling AI language models to provide responses that are not only more precise but also more pertinent to the current landscape. This means that AI systems can deliver insights and answers based on the most recent and relevant information sourced directly from an organization’s data, fostering greater accuracy and relevance in decision-making processes.

Also Read: Discover what features are included in Oracle Database 23C

Secure Data Encoding

Utilizing the advantages offered by Large Language Models (LLMs) necessitates a deep understanding of datasets. Yet, the intricacies of encoding models can present challenges, particularly their complexity and size, which often lead to reliance on third-party services. However, Oracle Database 23ai introduces a transformative approach by facilitating direct integration of trusted AI models through the Open Neural Network Exchange (ONNX) standard.

This innovative capability ensures that AI models can be securely embedded within the database environment, enabling real-time encoding of objects while safeguarding data integrity and confidentiality. By eliminating the need to rely on external parties for encoding services, organizations can mitigate potential security risks associated with data sharing and maintain greater control over their AI workflows and data assets.

Asking questions naturally

Oracle Database 23ai introduces a groundbreaking approach to SQL querying by integrating advanced Large Language Models (LLMs) such as Cohere and Llama. This integration revolutionizes the querying process, allowing users to pose complex questions using natural language.

The LLMs embedded within Oracle Database 23ai play a pivotal role in this transformation. They facilitate the translation of user queries into SQL queries, leveraging metadata and contextual information to enhance query precision. This innovative functionality empowers users to interact with databases more intuitively and efficiently, bridging the gap between human language and database operations for enhanced query accuracy and user experience.

Discovering Insights with Data

Oracle Database has been a pioneer in incorporating Machine Learning (ML) capabilities since its 9iR2 version, offering built-in ML algorithms that simplify pattern detection and trend analysis tasks. These algorithms empower users to predict customer behavior, classify data, perform clustering analyses, and detect fraudulent activities with ease.

The continuous evolution and enhancement of Oracle Database’s ML functionalities have solidified its position as a leading platform for data mining and advanced analytics. By providing streamlined access to ML algorithms within the database environment, Oracle Database enables organizations to extract valuable insights from their data efficiently and effectively, contributing to informed decision-making and improved business outcomes.

Available in all editions of Oracle Database

AI Vector Search, an integral feature of Oracle Database 23ai, is seamlessly integrated across multiple editions and cloud services without incurring additional costs. This powerful functionality empowers users to harness the benefits of AI-driven search capabilities within their existing Oracle Database environment, enhancing data exploration and retrieval without any extra financial burden.

2. Dev for Data

Oracle Database 23ai revolutionizes application development by optimizing database interactions, empowering developers to dedicate more attention to creating refined solutions tailored to customer requirements. This streamlined approach minimizes complexity, leading to quicker development cycles, a critical advantage in the rapidly evolving digital marketplace.

JSON or Relational

Oracle 23ai introduces a groundbreaking concept known as JSON Relational Duality, merging the robust capabilities of relational databases with the streamlined simplicity of JSON structures within a unified application framework. This innovation eradicates the necessity for intricate join operations, providing developers with unparalleled flexibility and efficiency in data handling. Developers can seamlessly harness the strengths of both relational and JSON data models without relying on ORM frameworks, leveraging straightforward HTTP operations or language-specific APIs for enhanced productivity and agility.

SQL just became more user-friendly

SQL continues to be indispensable for developers, serving as a cornerstone for querying and manipulating business data with unparalleled versatility. Oracle Database 23ai takes SQL to new heights by introducing innovative data types, refining syntax for simplicity, and enhancing overall readability. These advancements not only bolster SQL’s effectiveness in present-day applications but also future-proof it, ensuring its enduring relevance in the ever-evolving landscape of database technology.

Property Graphs: Modeling intricate relationships

Graph databases are transforming relationship modeling by accommodating real-world complexities seamlessly. Overcoming past challenges such as proprietary languages and data transfers, the adoption of industry standards has made graph databases more accessible to developers. Oracle Database 23ai leads this standardization effort, anticipating widespread integration into enterprise systems. Its support for property graph views simplifies the representation of data relationships, while the introduction of new SQL extensions empowers users with robust querying capabilities. Additionally, sophisticated graph algorithms embedded within the database enhance analytical prowess, paving the way for deeper insights and smarter decision-making.

3. Mission Critical for Data

Oracle Database stands as a reliable custodian safeguarding critical applications and data assets. Its suite of robust features such as Oracle Real Application Clusters (RAC), Active DataGuard, and GoldenGate guarantee unparalleled levels of reliability and adaptability in mission-critical environments. These technologies work cohesively to provide fault tolerance, disaster recovery, and seamless data replication, ensuring business continuity and operational efficiency even in the face of unforeseen challenges.

Database Sharding

Oracle Database 12c pioneered the concept of database sharding, a method of distributing data across multiple databases while treating them as a unified logical dataset. Building upon this foundation, Oracle Database 23ai introduces cutting-edge Globally Distributed Database technology. This innovation incorporates Raft replication support, facilitating automatic replication configuration and sub-second failover capabilities. These advancements significantly bolster business continuity by ensuring seamless data replication and rapid failover responses, thereby enhancing the resilience and reliability of critical database operations in diverse global scenarios.

Enhanced Data Caching

Leverage the efficiency of data caching through Oracle Database 23c’s innovative “True Cache” feature. This diskless Oracle Instance, integrated with the robust capabilities of Active Data Guard, enables automatic updates without requiring intricate code modifications. By eliminating the need for manual interventions and streamlining cache management, organizations can experience enhanced performance and agility in handling critical data operations.

Safer SQL Execution

Oracle Database 23ai pioneers an advanced defense mechanism through its SQL Firewall feature, designed to thwart unauthorized SQL execution, thereby mitigating the risks associated with SQL-Injection attacks and unauthorized access attempts. The implementation of SQL Firewall is streamlined and user-friendly, allowing for easy setup and training via intuitive GUI interfaces or through stored procedures. This proactive security measure imposes minimal overhead on SQL execution processes, ensuring robust protection without compromising system performance or operational efficiency.

Download Oracle Database 23ai now on the link below:


Oracle Database 23ai marks a monumental stride in leveraging AI’s potential for enterprise data and applications. Its seamless integration of AI, emphasis on developer efficiency, and unwavering reliability in critical operations set a new standard. This release is not just about innovation; it’s about enabling swift, informed decisions that drive business success. Discover the cutting-edge capabilities of Oracle Database 23ai and step into the future of enterprise data management and application development.

Vancy Arokia

An accomplished SEO specialist who has a passion for optimising digital landscapes. With over 4+ years of experience. She has worked on successful B2B and B2C projects. She holds a bachelor’s degree in computer science. She believes that SEO is the key to unlocking the business potential.

Author avatar

Vancy Arokia
An accomplished SEO specialist who has a passion for optimising digital landscapes. With over 4+ years of experience. She has worked on successful B2B and B2C projects. She holds a bachelor's degree in computer science. She believes that SEO is the key to unlocking the business potential.

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