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Data Platform

Oracle’s roots are in managing data. Oracle Data Platform dramatically simplifies the end-to-end data lifecycle and delivers insights faster. Gain greater control over your data with a single platform that helps you collect, curate, and manage all your transactional, warehouse, analytical, and AI/ML assets. Whether you’re looking for an on-premises, hybrid, regulated, or public cloud solution, no organization is better equipped to support your data strategy requirements. Explore this page to discover the benefits of some of the latest innovations in modern data platforms.

MESTEC Innovates Manufacturing with Autonomous Database (1:32)

Oracle Data Platform

data platform technical diagram, description below The Oracle Data Platform is a suite of tools, services, and applications that help businesses manage their data effectively. It combines various products and services from Oracle, including Oracle transactional databases, data lake, data warehouse, OCI AI/ML services, and more leveraging Oracle Cloud Infrastructure and Oracle hardware, to provide a comprehensive solution for data management. With the help of advanced analytics tools and artificial intelligence capabilities, the Oracle Data Platform can assist businesses in discovering insights from many sources, predicting outcomes, and automating processes. This, in turn, can help businesses make more informed decisions, streamline their operations, and drive growth.

Why choose Oracle Data Platform?

Data platform featured use cases

AI and machine learning for financial services

Driven by new competition, changing business models, and mounting regulatory and compliance pressures, as well as the emergence of disruptive technologies, financial services leaders are using the cloud to increase profitability and improve customer experience. Oracle Data Platform offers cloud native capabilities, powered by AI and machine learning (ML), that are accelerating the development of hyperpersonalized digital banking services.

Here are some examples of how Oracle Data Platform is being used to address use cases such as customer experience, risk calculations, fraud detection, anti–money laundering, and others while meeting the regulatory requirements specific to the financial services industry.

  • Customer 360 experience

    Process transactions, such as deposits, withdrawals, and transfers, while also analyzing customer behavior and financial data to identify trends, make more-informed business decisions, and pursue new opportunities to elevate the customer experience, such as real-time product recommendations.

  • Fraud prevention and anti–money laundering

    Analyze large amounts of transactional data to detect patterns and anomalies that may indicate fraudulent behavior. The combination of transaction processing and analytics allows your institution to quickly detect and prevent potential fraud while meeting your regulatory requirements.

  • Risk calculations and regulatory reporting

    Calculate your portfolio’s risk by analyzing various financial and market data sources. Oracle Data Platform can process large amounts of data, providing real-time risk assessments and helping your institution make informed investment decisions.

  • Operational efficiency

    Minimize data silos and get real-time insights into operational performance, helping your institution identify areas for improvement and optimize processes. This can lead to increased efficiency, reduced costs, and improved customer satisfaction.

Healthcare data platform

Healthcare is a “data needy” industry, and the methods used to collect data and the points of capture are wildly diverse, ranging from patients with phone apps to national databases. Data capture itself has become easy, but now patients, providers, and payers all want a more holistic picture. They want to predict, advise, and prevent disease from the cradle to the grave while addressing privacy concerns and complying with legislation such as the General Data Protection Regulation and California Consumer Privacy Act. With Oracle Data Platform, you can realize the value of all the available data sources to help improve patient outcomes and provide a seamless healthcare experience as the following use cases illustrate.

  • Population healthcare management

    Identify current and future population healthcare needs. Capture, store, manage, and gain insights from data from admin, omics, clinical, and operational systems while limiting data silos.

  • Optimize medical staff workloads and case management

    Analyzing historical data on staffing models as well as the hours worked and sick time taken by healthcare practitioners and comparing it to patient outcomes can help your organization fine-tune your approach to staffing and case management.

  • Value-based care with performance monitoring

    Move toward a value system that prioritizes patient-centered activities, optimizing resources, and improving outcomes for both the patient’s health and the organization’s financial position.

  • Supply chain optimization

    Increase visibility and share access to the whole supply chain. Improve agility and make faster planning decisions and trade-offs, adjusting and monitoring plans as changes occur.

Data platform for retailers

Today’s retailers need to overcome a continually evolving set of business problems. Some of these challenges include how to best strengthen their merchandising core while optimizing their inventory and how to truly know and understand who their customers are. Solving these problems while addressing the industry’s diverse regulatory and security issues can be daunting. Retailers around the world use Oracle Data Platform to address these challenges and develop new, revolutionary market services. The following use cases are just a few examples of how retailers are using the platform today.

  • Merchandizing optimization: Predict, sense, and shape demand

    Gather data on your customer’s location in and around your store, improve your marketing strategies, and offer customers personalized promotions.

  • Live data analysis

    By integrating your transaction database and your analytics solution, you can analyze raw operational data accurately and in near real time, helping you reduce complexity, eliminate data silos, and make better decisions.

  • Price optimization

    Strategic pricing is one of the most important ways retailers can gain a market advantage. Oracle Data Platform helps retailers tailor their pricing strategies at the product level while easily aligning prices with their corporate and category goals across all selling channels.

  • Forecasting supplier lead time

    Leverage data from your ERP and supplier performance indicators to train ML models to forecast supplier lead time.

Data and digitalization for manufacturing

Industrial product manufacturers face a significant challenge in adapting to the evolving digital world. Not since the introduction of the assembly line has manufacturing been subject to such a profound change in its day-to-day operations. Yes, manufacturers have always had to be lean and agile, but the question now is how manufacturers will survive and thrive in this more competitive digital world.

The digitalization of manufacturing operations and the value chain brings both challenges and opportunities. You must be willing to adopt transformational technology despite the cultural change it necessitates. You need to become nimbler and rethink business models, uncover opportunities to improve productivity, and drive innovation across core business operations. Moreover, you must embrace the new pace of change. The following use cases demonstrate how seamlessly Oracle Data Platform provides manufacturers with the capabilities necessary to address these new challenges.

  • Predictive maintenance and asset availability optimization

    Collect and store data from equipment, devices, and camera images. The platform then uses machine learning algorithms to analyze this data and identify any potential issues with the equipment, such as wear and tear or degradation. Based on this analysis, the platform can make predictions about when maintenance will be required.

  • Plant data consolidation

    Collect data locally on an isolated site from various sources, such as equipment, devices, sensors, and production management applications, to enable local analysis. Use the results for automated decision-making or field management decisions.

  • Operational efficiency and performance

    Gather all your manufacturing data from your manufacturing execution system, warehouse management system, computerized maintenance management system, and other maintenance systems into the powerful Oracle Data Platform to unlock real-time insights, predictive forecasting, and anomaly detection using AI services.

  • Health and safety

    Ingest, store, manage, and gain valuable insights from multiple data sources related to health and safety, enabling you to detect trends early, identify incident root causes, and discover new alternatives to improve your organization's safety.

Related data platform products and services

Data integration

Connect and extend applications with real-time, consistent transactional data, efficient batch loads, and streaming data.

  • OCI Data Integration
    Simplify your complex data extract, transform, and load processes (ETL/E-LT) into data lakes and warehouses for data science and analytics with a no-code data flow designer.
  • Oracle Data Integrator
    Data Integrator provides advanced data migration for extract, transform, and load. Oracle Data Integrator is optimized for Oracle cloud databases as well as on-premises databases.
  • Oracle GoldenGate
    Oracle GoldenGate enables high-availability, real-time data integration, change data capture, data replication, transformations, and verification between operational and analytical enterprise systems.
  • OCI Streaming
    Streaming provides out-of-the-box integrations for hundreds of third-party products across categories such as DevOps, databases, big data, and SaaS applications.
  • Data tools
    Data tools provide a simple, self-service environment for loading data and making it available for collaboration among extended teams. Business and data analysts can easily load and transform data with drag-and-drop capabilities and generate business models.

Transaction processing

Simplify and accelerate application development and deployment on a secure and scalable database service.

  • Oracle Autonomous Transaction Processing
    Autonomous Transaction Processing is a fully automated cloud database service for developing and deploying applications, with support for multiple data types and a wide range of functions, APIs, and tools.
  • Oracle MySQL HeatWave
    MySQL HeatWave is a fully managed database service. It’s the only cloud database service that combines transactions, analytics, and machine learning services in one MySQL Database, delivering real-time, secure analytics without the complexity, latency, and cost of ETL duplication.

Data warehousing

Effortlessly analyze and gain insights from your data with a comprehensive data warehousing service.

  • Oracle MySQL HeatWave
    MySQL HeatWave is a fully managed database service. It’s the only cloud database service that combines transactions, analytics, and machine learning services in one MySQL Database, delivering real-time, secure analytics without the complexity, latency, and cost of ETL duplication.
  • Oracle Autonomous Data Warehouse
    Autonomous Data Warehouse is a fully automated cloud database service that enables data scientists, business analysts, and nonexperts to rapidly and easily discover business insights using data of any size and type.
  • Oracle Graph
    Oracle Graph enables customers to understand relationships and connections in data and detect patterns for new insights without the need to set up a separate graph database and move data.
  • Oracle Spatial
    Oracle Spatial enables customers to build location-enabled mapping services and advanced geospatial systems using data types, models, services, and tools for spatial data management, analytics, and visualization.

Data lake

Build a data lake using fully managed data services with lower costs and less effort.

  • OCI Object Storage
    Object Storage enables customers to store any type of data in its native format. This is ideal for building modern applications that require scale and flexibility.
  • OCI Data Catalog
    Data Catalog helps data professionals across the organization search, explore, and govern data using an inventory of enterprisewide data assets.
  • OCI Data Flow
    Data Flow is a fully managed Apache Spark service to perform processing tasks on extremely large datasets without infrastructure to deploy or manage. This enables rapid application delivery because developers can focus on app development, not infrastructure management.
  • Oracle Big Data
    Big Data Service is a Hadoop-based data lake service to store and analyze large amounts of raw customer data. A managed service, Oracle Big Data Service comes with a fully integrated stack that includes both open source and Oracle value-added tools that simplify your IT operations.

AI and machine learning

Gain insights from data using prebuilt or your own AI/ML models. Accelerate your discovery using a wide range of in-database functions.

  • OCI AI Services
    AI Services is a collection of services with prebuilt machine learning models that make it easier for developers to apply AI to applications and business operations. The models can be custom-trained for more accurate business results.
  • OCI Data Science
    Rapidly build, train, deploy, and manage machine learning models with a data science service built for teams.
  • Oracle Machine Learning
    Machine Learning in Oracle Database supports data exploration, preparation, and machine learning modeling at scale.

Analytics / visualization

Transform your data into actionable insights with intuitive analytics and stunning visualizations.

  • Oracle Analytics
    Oracle Analytics is a complete platform that offers valuable, actionable insights from all types of data. It empowers business users, data engineers, and data scientists to access and process relevant data, evaluate predictions, and make quick, accurate decisions.
  • Data tools
    Data tools provide a simple, self-service environment for loading data and making it available for collaboration among extended teams. Business and data analysts can quickly discover anomalies, outliers, and hidden patterns and understand data dependencies and the impact of changes.

Application development

Accelerate your development and delivery with a comprehensive, cloud-based service.

  • Oracle APEX
    Oracle APEX is a low-code development platform that customers use to build scalable, data-driven applications that run on-premises or in the cloud.
  • Cloud native services
    Cloud native and AI are at the core of your next software innovation. Oracle Cloud Infrastructure provides the fastest time to value for any organization looking to innovate by building modern apps and future-proof for the next evolution in digital transformation.

Get started with Oracle Data Platform

Try 20+ Always Free cloud services, with a 30-day trial for even more

Oracle offers a Free Tier with no time limits on more than 20 services such as Autonomous Database, Arm Compute, and Storage, as well as US$300 in free credits to try additional cloud services. Get the details and sign up for your free account today.

  • What’s included with Oracle Cloud Free Tier?

    • 2 Autonomous Databases, 20 GB each
    • AMD and Arm Compute VMs
    • 200 GB total block storage
    • 10 GB object storage
    • 10 TB outbound data transfer per month
    • 10+ more Always Free services
    • US$300 in free credits for 30 days for even more

Learn with step-by-step guidance

Experience a wide range of OCI services through tutorials and hands-on labs. Whether you're a developer, admin, or analyst, we can help you see how OCI works. Many labs run on the Oracle Cloud Free Tier or an Oracle-provided free lab environment.

  • Get started with OCI core services

    The labs in this workshop cover an introduction to Oracle Cloud Infrastructure (OCI) core services including virtual cloud networks (VCN) and compute and storage services.

    Start OCI core services lab now

  • Autonomous Database quick start

    In this workshop, you’ll go through the steps to get started using Oracle Autonomous Database.

    Start Autonomous Database quick start lab now

  • Build an app from a spreadsheet

    This lab walks you through uploading a spreadsheet into an Oracle Database table, and then creating an application based on this new table.

    Start this lab now

  • Deploy an HA application on OCI

    In this lab you’ll deploy web servers on two compute instances in Oracle Cloud Infrastructure (OCI), configured in High Availability mode by using a Load Balancer.

    Start HA application lab now

Explore over 150 best practice designs

See how our architects and other customers deploy a wide range of workloads, from enterprise apps to HPC, from microservices to data lakes. Understand the best practices, hear from other customer architects in our Built & Deployed series, and even deploy many workloads with our "click to deploy" capability or do it yourself from our GitHub repo.

Popular architectures

  • Apache Tomcat with MySQL Database Service
  • Oracle Weblogic on Kubernetes with Jenkins
  • Machine-learning (ML) and AI environments
  • Tomcat on Arm with Oracle Autonomous Database
  • Log analysis with ELK Stack
  • HPC with OpenFOAM

See how much you can save on OCI

Oracle Cloud pricing is simple, with consistent low pricing worldwide, supporting a wide range of use cases. To estimate your low rate, check out the cost estimator and configure the services to suit your needs.

Experience the difference:

  • 1/4 the outbound bandwidth costs
  • 3X the compute price-performance
  • Same low price in every region
  • Low pricing without long-term commitments

Contact sales

Interested in learning more about Oracle Cloud Infrastructure? Let one of our experts help.

  • They can answer questions like:

    • What workloads run best on OCI?
    • How do I get the most out of my overall Oracle investments?
    • How does OCI compare to other cloud computing providers?
    • How can OCI support your IaaS and PaaS goals?