List of the Top 11 Data Discovery Software for Oracle Cloud Infrastructure in 2025

IRI DarkShield employs a variety of search methodologies and numerous data masking techniques to anonymize sensitive information across both semi-structured and unstructured data sources throughout an organization. The outputs of these searches can be utilized to either provide, eliminate, or rectify personally identifiable information (PII), allowing for compliance with GDPR requirements regarding data portability and the right to be forgotten, either individually or in tandem. Configurations, logging, and execution of DarkShield tasks can be managed through IRI Workbench or a RESTful RPC (web services) API, enabling encryption, redaction, blurring, and other modifications to the identified PII across diverse formats including: * NoSQL and relational databases * PDF documents * Parquet files * JSON, XML, and CSV formats * Microsoft Excel and Word documents * Image files such as BMP, DICOM, GIF, JPG, and TIFF This process utilizes techniques such as pattern recognition, dictionary matching, fuzzy searching, named entity identification, path filtering, and bounding box analysis for images. Furthermore, the search results from DarkShield can be visualized in its own interactive dashboard or integrated into analytic and visualization tools like Datadog or Splunk ES for enhanced monitoring. Moreover, tools like the Splunk Adaptive Response Framework or Phantom Playbook can automate responses based on this data. IRI DarkShield represents a significant advancement in the field of unstructured data protection, offering remarkable speed, user-friendliness, and cost-effectiveness. This innovative solution streamlines, multi-threads, and consolidates the search, extraction, and remediation of PII across various formats and directories, whether on local networks or cloud environments, and is compatible with Windows, Linux, and macOS systems. By simplifying the management of sensitive data, DarkShield empowers organizations to better safeguard their information assets.

By leveraging built-in intelligence, you have the opportunity to transform your customers into success stories. This encompasses advanced analytics and sophisticated dashboards. BoldBI is a platform designed from scratch specifically for embedding purposes, ensuring there are no compromises or shortcuts involved. Failing to address modern requirements, such as "bringing all of your data into our cube or data store," can complicate your application unnecessarily. While it's possible to create intricate systems for data integration, maintaining synchronization between the embedded BI database and your data sources is essential. Bold BI enables seamless connections to hundreds of data sources and any preferred data warehouse. If your architecture utilizes a shared model, consider deploying in single-tenant mode, while multi-tenant mode is ideal for isolated data models, allowing you to maintain a centralized dashboard source for multiple tenants. Bold BI is versatile, suitable for both conventional and unique use cases. Additionally, with JavaScript APIs, you can seamlessly integrate Bold BI directly into your application's code, enhancing its functionality and user experience.

A cutting-edge AI-driven platform for data management that promotes data democratization is here to revolutionize how organizations innovate. Insights foster creativity by merging and unifying all data sources, enhancing collaboration, and equipping companies to innovate effectively. SCIKIQ serves as a comprehensive business platform, streamlining the data challenges faced by users with its intuitive drag-and-drop interface. This design enables businesses to focus on extracting value from their data, ultimately boosting growth and improving decision-making processes. Users can seamlessly connect various data sources and utilize box integration to handle both structured and unstructured data. Tailored for business professionals, this user-friendly, no-code platform simplifies data management via drag-and-drop functionality. Additionally, it employs a self-learning mechanism and is cloud and environment agnostic, granting users the flexibility to build upon any data ecosystem. The architecture of SCIKIQ is meticulously crafted to navigate the complexities of a hybrid data landscape, ensuring that organizations can adapt and thrive in an ever-evolving data environment. Such adaptability makes SCIKIQ not only a tool for today but a strategic asset for the future.

Harness the potential of data by transforming chaotic information into valuable insights through advanced data intelligence. By interlinking, discovering, enhancing, and orchestrating disparate data resources, organizations can generate actionable insights that propel business success at an enterprise level. SAP Data Intelligence acts as a comprehensive solution for managing data. As the orchestration layer of SAP’s Business Technology Platform, it turns fragmented data landscapes into vital insights that encourage innovation on a grand scale. By providing users with intelligent, relevant, and contextual insights, seamless integration throughout the IT ecosystem is achieved. Efficiently managing and orchestrating extensive volumes of data and streams is essential for improving operational efficiency. Furthermore, it is important to optimize processes, implement machine learning-driven innovations, and create strong governance frameworks to address compliance risks through robust metadata management strategies. As the data landscape continues to evolve, prioritizing actionable insights will be essential for fostering sustained growth within enterprises, ensuring they remain competitive and responsive to market changes. The ability to adapt and innovate in response to data will be pivotal for future success.

DataHub stands out as a dynamic open-source metadata platform designed to improve data discovery, observability, and governance across diverse data landscapes. It allows organizations to quickly locate dependable data while delivering tailored experiences for users, all while maintaining seamless operations through accurate lineage tracking at both cross-platform and column-specific levels. By presenting a comprehensive perspective of business, operational, and technical contexts, DataHub builds confidence in your data repository. The platform includes automated assessments of data quality and employs AI-driven anomaly detection to notify teams about potential issues, thereby streamlining incident management. With extensive lineage details, documentation, and ownership information, DataHub facilitates efficient problem resolution. Moreover, it enhances governance processes by classifying dynamic assets, which significantly minimizes manual workload thanks to GenAI documentation, AI-based classification, and intelligent propagation methods. DataHub's adaptable architecture supports over 70 native integrations, positioning it as a powerful solution for organizations aiming to refine their data ecosystems. Ultimately, its multifaceted capabilities make it an indispensable resource for any organization aspiring to elevate their data management practices while fostering greater collaboration among teams.

Fasoo Data Radar (FDR) serves as an advanced solution for discovering and classifying data, empowering organizations to effectively identify, assess, and manage sensitive unstructured data across various environments such as on-premise servers, cloud platforms, and endpoint devices. Through the application of keyword searches, regex patterns, file formats, and established guidelines, FDR assists businesses in retaining oversight over vital information. Its capabilities include real-time monitoring and centralized policy enforcement, which bolster data security by pinpointing potential risks, thwarting unauthorized access, and ensuring adherence to key regulations such as GDPR, HIPAA, and CCPA. Furthermore, FDR integrates effortlessly with existing enterprise security frameworks, facilitating the implementation of uniform data protection measures while optimizing operational processes. By automating the tasks of data classification and governance, it not only enhances efficiency and fortifies data security but also provides clearer visibility for compliance with regulations and effective risk management strategies. As organizations increasingly prioritize data governance, solutions like FDR become indispensable in navigating the complexities of modern data landscapes.

Safyr® dramatically reduces the time, costs, and resources required for discovering ERP metadata by as much as 90%. Users looking to effectively utilize metadata from leading ERP and CRM platforms such as SAP, Salesforce, Oracle, and Microsoft encounter three major obstacles that they must overcome first. If these challenges are not resolved quickly, they can result in project delays, rising expenses, failed deliveries, and in the worst cases, project cancellations. After identifying the essential metadata for your project, it is vital to utilize it for establishing various environments, which could involve data cataloging, governance systems, enterprise metadata management, data warehouses, ETL processes, or data modeling tools. The core aim behind the creation of Safyr® was to enable users to significantly enhance the value they gain from their initiatives that utilize data from major ERP and CRM systems, by offering effective and economical solutions to these hurdles. By optimizing the metadata discovery process, Safyr® allows organizations to concentrate more on achieving their primary goals, rather than being hindered by technical challenges. Ultimately, this enhancement in efficiency can lead to more successful project outcomes, fostering innovation and growth within the organization.

The Mage Sensitive Data Discovery module is designed to reveal concealed data locations within your organization. It enables the detection of hidden information across various data stores, including structured, unstructured, and Big Data environments. Utilizing Natural Language Processing and Artificial Intelligence, this tool is capable of locating data in even the most challenging scenarios. Its patented discovery method guarantees effective identification of sensitive data while keeping false positives to a minimum. You can enhance your data classifications with over 70 existing categories that encompass all widely recognized PII and PHI data types. Furthermore, the module streamlines the discovery process, allowing you to schedule sample scans, complete scans, and incremental scans at your convenience. This versatility ensures that your organization can maintain robust data security measures while efficiently managing data discovery tasks.

Ground Labs' Enterprise Recon enables organizations to locate and rectify sensitive information across a diverse array of both structured and unstructured data sources. This capability extends to data residing on internal servers, personal devices of employees, and cloud storage systems. By utilizing Enterprise Recon, businesses worldwide can identify all their data assets while ensuring compliance with regulations such as GDPR, PCI DSS, CCPA, HIPAA, and Australian Privacy laws. The tool is powered by GLASS™, a proprietary technology from Ground Labs, which facilitates rapid and precise data discovery across multiple platforms. Enterprise Recon accommodates sensitive data identification on various operating systems, including Windows, MacOS, Linux, FreeBSD, and Solaris, as well as HP-UX and IBM AIX. The solution offers both agent-based and non-agent options for deployment, providing flexibility for organizations, and includes remote capabilities to manage virtually any network data efficiently. With its comprehensive features, Enterprise Recon stands as a robust solution for organizations seeking to enhance their data security and regulatory adherence.

In the competitive landscape of business leadership, it is essential to maintain steadfast trust in your data, ensuring it is meticulously governed, compliant, and accurate. This involves the seamless integration of all data from various sources and locations, unrestricted by any barriers. A thorough understanding of your data assets is vital for effective oversight. Regular audits should be conducted to evaluate risks, compliance, and quality, thereby supporting your strategic initiatives. Additionally, cultivating a comprehensive inventory of data across diverse sources and types promotes a unified comprehension of your data landscape. Implementing a prompt, economical, and accurate one-time audit of your data resources is crucial. Audits focused on PCI, PII, and PHI can be executed efficiently and thoroughly. This method negates the necessity for any software acquisitions. It is critical to assess and audit the quality and redundancy of data in all enterprise assets, whether they exist in the cloud or on-premises. Compliance with international data privacy regulations must be maintained on a large scale. Continuous efforts to discover, classify, monitor, trace, and audit adherence to privacy standards are imperative. Moreover, managing the dissemination of PII, PCI, and PHI data while automating compliance with Data Subject Access Requests (DSAR) is essential. This all-encompassing approach not only preserves the integrity of your data but also contributes significantly to enhancing overall business efficiency and effectiveness. By implementing these strategies, organizations can build a resilient framework for data governance that adapts to emerging challenges and opportunities in the data landscape.

Safeguard, oversee, and identify critical enterprise data across various platforms and settings. Streamline your subject rights handling and showcase adherence to regulations, all within a single comprehensive solution that enhances both security and efficiency.