List of the Top Metadata Management Software in Brazil in 2025 - Page 2

Dockit Metadata Manager enables comprehensive management of metadata within SharePoint, ensuring users can fully leverage its features. Without appropriate metadata, SharePoint content merely becomes a storage space accessible to users, leading to diminished user engagement and a failure to tap into the platform’s robust functionalities. Whether you're working with a fully operational SharePoint environment or just starting to arrange your metadata, it is crucial to maintain thorough oversight of its organization and management. You can locate your SharePoint metadata across various components such as sites, lists, and libraries. Additionally, prior to migrating to SharePoint, it is beneficial to assess the metadata present in your existing file shares or folders. To enhance your metadata effectively, the initial step involves identifying the existing information and its structure. This foundational understanding will aid in better organizing and utilizing your SharePoint assets moving forward.

Revolutionize your big data operations and build intelligent knowledge repositories using the Data Lake Governance Center (DGC), an all-encompassing platform designed to oversee every aspect of data lake management, encompassing design, development, integration, quality assurance, and asset oversight. Featuring an easy-to-use visual interface, DGC allows you to implement a strong governance framework that boosts the effectiveness of your data lifecycle management processes. Harness analytics and key performance indicators to enforce robust governance practices across your organization, while also establishing and monitoring data standards and receiving immediate notifications. Speed up data lake development by seamlessly configuring data integrations, models, and cleansing methods to pinpoint reliable data sources. This not only enhances the overall value extracted from your data assets but also opens avenues for customized solutions across various sectors, including intelligent governance, taxation, and educational environments, while shedding light on sensitive organizational information. Furthermore, DGC equips companies with the tools to create extensive catalogs, classifications, and terminologies for their data, solidifying governance as an integral element of the enterprise's overarching strategy. With DGC, organizations can ensure their data governance efforts are aligned with their business objectives, facilitating a culture of accountability and insight-driven decision-making.

Smartlogic's Semaphore, an advanced Semantic AI platform, excels in revealing qualified contextual data via a unified system that adeptly identifies enterprise information while supporting the creation and management of both semantic and active metadata as well as information extraction. This robust tool lays the groundwork for cognitive applications, enabling sophisticated contextual searches, automating processes, delivering pertinent recommendations, enhancing customer experiences, ensuring adherence to regulations, managing contract lifecycles, and strengthening information security. By utilizing Semaphore, businesses can significantly enhance their marketing initiatives, increase revenue, and improve customer satisfaction, all while optimizing operational efficiency and reducing risks. The platform allows organizations to connect their communication with that of their customers, providing timely access to crucial information for effective support. Additionally, it aids in closing compliance gaps, promoting governance best practices, and minimizing costs through clear and traceable outcomes, which ultimately cultivates a more informed and responsive organization. Implementing Semaphore not only streamlines operational workflows but also nurtures a culture of accountability and ongoing development, fostering an environment where innovation can thrive. With such capabilities, Semaphore positions organizations to navigate the complexities of modern business landscapes with greater agility and confidence.

MetaCenter provides a structured approach for both business and technology sectors to effectively manage and categorize an organization's information resources. Users can autonomously explore their data assets and track the flow of information within the company, while also identifying suitable usage classifications. This functionality contributes to cost reduction, increased adaptability, and the minimization of operational risks. The platform features a search-based semantic layer that enables automatic cross-referencing of various models. Furthermore, customizable Faceted Views can be configured for specific data assets, ensuring different roles within the organization have tailored access. The combination of a lower total cost of ownership and enhanced automation yields a significantly better return on investment compared to competing solutions. In addition, the user-friendly, GUI-driven customization process allows for rapid adjustments without requiring programming skills or specialized services, thus broadening accessibility. This ultimately equips teams to swiftly adapt to evolving business demands while boosting overall efficiency and productivity. As a result, organizations can not only streamline operations but also foster a more agile working environment.

In just a quarter of an hour, you can establish your automated data catalog and obtain detailed column-level lineage, Entity Relationship diagrams, and comprehensive documentation within a day. This user-friendly system enables effortless tagging, searching, and adding of documentation, ensuring that everyone can easily locate the information they need. Select Star intuitively identifies your column-level data lineage and presents it clearly, allowing you to have confidence in the origins of your data. You can now understand how your organization utilizes data, making it easier to pinpoint relevant data fields without needing to consult others. Furthermore, Select Star guarantees your data's safety by adhering to AICPA SOC2 Security, Confidentiality, and Availability standards, giving you peace of mind. By streamlining access to critical data insights, Select Star enhances collaboration and efficiency across your teams.

Design a scalable framework that prioritizes data products, treating them as essential components of the system. Automate and repurpose these data products effectively while ensuring compliance and strong data governance practices are in place. Manage the expenses associated with your data products and pipelines, particularly within Snowflake, to optimize resource allocation. For this leading global pharmaceutical company, data product teams stand to gain significantly from advanced analytics facilitated by a self-service data and analytics ecosystem that incorporates Snowflake along with other tools that embody a data mesh philosophy. The DataOps.live platform is instrumental in helping them structure and leverage next-generation analytics capabilities. By fostering collaboration among development teams centered around data, DataOps promotes swift outcomes and enhances customer satisfaction. The traditional approach to data warehousing has often lacked the flexibility needed in a fast-paced environment, but DataOps can transform this landscape. While effective governance of data assets is essential, it is frequently regarded as an obstacle to agility; however, DataOps bridges this gap, fostering both nimbleness and enhanced governance standards. Importantly, DataOps is not solely about technology; it embodies a mindset shift that encourages innovative and efficient data management practices. This new way of thinking is crucial for organizations aiming to thrive in the data-driven era.

Aim functions as an all-encompassing platform designed for documenting every aspect of AI metadata, encompassing experiments and prompts, while providing a user-friendly interface for comparison and analysis, along with a software development kit for executing programmatic queries. This open-source, self-hosted tool is specifically engineered to efficiently handle vast numbers of tracked metadata sequences, numbering in the hundreds of thousands. The primary uses of AI metadata revolve around experiment tracking and prompt engineering, which are essential for optimizing AI performance. Furthermore, Aim features a visually appealing and high-performance interface that not only simplifies the exploration but also enhances the comparison of various training runs and prompt sessions, thereby improving the overall user experience in the field of AI development. With its robust capabilities and user-centric design, Aim emerges as an indispensable asset for professionals working on cutting-edge AI initiatives. Its comprehensive features cater to the diverse needs of AI practitioners, making it a favorite choice in the community.

Achieve total oversight of your data by leveraging the capabilities of data discovery, data lineage, and a comprehensive data catalogue. This approach allows for swift navigation through intricate data landscapes. Gain access to an all-encompassing automated system for data lineage and discovery, providing you with unparalleled visibility and confidence in even the most complex data settings. Octopai efficiently extracts metadata from diverse data environments, enabling instant analysis in a secure and user-friendly manner. By consolidating data lineage, data discovery, and a data catalogue into a single platform, Octopai simplifies your data management process. In mere seconds, you can trace any data flow from start to finish throughout your entire data landscape. Automatically locate the required data from any segment of your data ecosystem, ensuring that you have the necessary information at your fingertips. Moreover, a self-creating and self-updating data catalogue promotes consistency across your organization, enhancing overall data governance and usability. This innovative solution not only streamlines data access but also empowers teams to make informed decisions based on reliable data insights.

Centralpoint has been recognized by Gartner's Magic Quadrant as a key player in the Digital Experience Platform space, serving over 350 clients globally while extending its capabilities beyond traditional Enterprise Content Management. It provides secure user authentication through various methods such as AD/SAML/OpenID and oAuth, enabling self-service interactions for all users. Centralpoint excels in automatically aggregating data from multiple sources and applying sophisticated metadata management according to your specific rules, thus facilitating genuine Knowledge Management. This functionality empowers users to search and connect diverse datasets from any location. Additionally, Centralpoint's Module Gallery stands out as the most comprehensive option available, offering flexibility for installation in both on-premise and cloud environments. Explore our offerings for Automating Metadata and Retention Policy Management to enhance your organizational efficiency. We also provide innovative solutions that streamline the integration of varied data, leveraging the advantages of AI (Artificial Intelligence). Frequently regarded as a practical alternative to SharePoint, Centralpoint not only simplifies migration tools but also delivers secure portal solutions tailored for public websites, intranets, member areas, and extranets. With its extensive features, Centralpoint continues to redefine how organizations manage and utilize their digital experiences.

Elevate your adaptability and insights to thrive in any market landscape with Oracle Fusion Cloud Enterprise Performance Management (EPM). This innovative solution facilitates efficient modeling and planning across various departments, including finance, HR, supply chain, and sales, while also streamlining the financial closing process to enhance decision-making capabilities. It comprehensively addresses various needs through its robust features in financial and operational planning, consolidation, closing procedures, and master data management. By fostering smooth integration of finance with all other business areas, it encourages organizational agility and cohesion. Utilize scenario modeling and sophisticated analytics to bolster your decision-making processes. Oracle EPM consistently garners recognition as a leader in its field from analysts, and many clients are experiencing significant advantages by employing their EPM solutions in the cloud. Emphasizing agile and cohesive planning across all functions—ranging from scenario evaluations and long-term strategies to budgeting and departmental initiatives—this platform is underpinned by industry-leading practices and cutting-edge technology. With Oracle EPM, organizations are empowered to make informed choices that resonate with their strategic objectives, ultimately driving growth and efficiency. As the business landscape continues to evolve, leveraging such advanced solutions is essential for sustained success.

To fully understand the principles of master data management (MDM), it is essential to begin with a clear definition of master data and how it differs from MDM itself. Master data constitutes the vital business information that forms the foundation and categorization of the transactional and analytical data present within an organization. Often referred to as "enterprise data" or "metadata," this category of data generally includes application-specific metadata, different business viewpoints, corporate dimensions, reference data, and various master data assets. Examples of such enterprise data encompass the chart of accounts, the structures of organizations or cost centers, market segments, and product categories, among other significant components. Conversely, master data management (MDM) is focused specifically on the management of master data itself. MDM utilizes a collection of applications and technologies aimed at consolidating, cleansing, and refining master data while ensuring it remains synchronized across various applications, business processes, and analytical tools. In essence, MDM serves a vital function in upholding the integrity and uniformity of data throughout an enterprise, which in turn fosters better decision-making processes. Furthermore, the successful implementation of MDM can lead to improved operational efficiency and enhanced data quality, benefiting the organization as a whole.

Anzo emerges as a groundbreaking platform focused on data discovery and integration, allowing users to seamlessly find, connect, and combine any enterprise data into analytics-ready datasets. Its innovative use of semantics and graph data models opens the door for a diverse range of individuals within an organization—from seasoned data scientists to novice business users—to engage in the data discovery and integration process, enabling them to build their own datasets for analysis. By leveraging graph data models, Anzo offers business users an intuitive visual representation of the enterprise's data environment, which simplifies navigation and understanding, even when faced with large, isolated, and complex datasets. The addition of semantics not only enhances the data with relevant business context but also helps users align data through shared definitions, allowing for the dynamic creation of integrated datasets that meet specific requirements. This approach promotes broader access to data and enhances its usability, cultivating a data-driven culture within organizations that encourages informed decision-making at all levels. Consequently, Anzo stands as a vital tool for enhancing collaboration and efficiency in data management across various departments.

ER/Studio Enterprise Team Edition empowers data modelers and architects to collaboratively share data models and metadata across the entire organization. This comprehensive tool facilitates effective enterprise architecture and robust data governance practices. Additionally, it enhances communication among teams, ensuring that everyone has access to the most current information.

The demand for data-driven insights and creative solutions has reached unprecedented levels. In the fiercely competitive landscape of today's global economy, the ability to leverage dependable data for making informed and strategic business decisions is essential for gaining a competitive edge. Despite this necessity, numerous organizations collect extensive amounts of data that frequently remain underutilized, as leaders often face challenges in accessing it or lack the requisite understanding and trust in its reliability. ASG Data Intelligence (ASG DI) tackles the issue of data skepticism head-on. This innovative platform, which is guided by metadata, significantly enhances the intelligence of technical data by offering detailed perspectives on data flows and their sources, while embedding business relevance and usage protocols. By making data more accessible, understandable, and trustworthy, businesses can unleash its full potential for a diverse range of users, including data scientists, analysts, marketers, and beyond. Building confidence in data not only fosters a clearer understanding of its origins and workflows but also emphasizes its significance within the broader business context. As a result, organizations can refine their decision-making processes, ultimately leading to improved outcomes and greater success in their respective markets. Moreover, the integration of robust data governance practices can further enhance the overall effectiveness of data utilization in driving business innovation and growth.

Kylo is an open-source solution tailored for the proficient management of enterprise-scale data lakes, enabling users to effortlessly ingest and prepare data while integrating strong metadata management, governance, security, and best practices informed by Think Big's vast experience from over 150 large-scale data implementations. It empowers users to handle self-service data ingestion, enhanced by functionalities for data cleansing, validation, and automatic profiling. The platform features a user-friendly visual SQL and an interactive transformation interface that simplifies data manipulation. Users can investigate and navigate both data and metadata, trace data lineage, and access profiling statistics without difficulty. Moreover, it includes tools for monitoring the vitality of data feeds and services within the data lake, which aids users in tracking service level agreements (SLAs) and resolving performance challenges efficiently. Users are also capable of creating and registering batch or streaming pipeline templates through Apache NiFi, which further supports self-service capabilities. While organizations often allocate significant engineering resources to migrate data into Hadoop, they frequently grapple with governance and data quality issues; however, Kylo streamlines the data ingestion process, allowing data owners to exert control through its intuitive guided user interface. This revolutionary approach not only boosts operational effectiveness but also cultivates a sense of data ownership among users, thereby transforming the organizational culture towards data management. Ultimately, Kylo represents a significant advancement in making data management more accessible and efficient for all stakeholders involved.

Atlas is a powerful and flexible suite of crucial governance services that enables organizations to meet their compliance requirements effectively within Hadoop, while also integrating smoothly with the larger enterprise data environment. Apache Atlas equips organizations with the tools to oversee open metadata and governance, allowing them to build an extensive catalog of their data assets, classify and manage these resources, and encourage collaboration among data scientists, analysts, and the governance team. It comes with predefined types for a wide range of metadata relevant to both Hadoop and non-Hadoop settings, and it also allows for the creation of custom types to better handle metadata management. These custom types can include basic attributes, complex attributes, and references to objects, and they can inherit features from other types. Entities serve as instances of these types, containing specific details about the metadata objects and their relationships. Moreover, the provision of REST APIs streamlines interaction with types and instances, thereby improving the overall connectivity and functionality within the data framework. This holistic strategy guarantees that organizations can adeptly manage their data governance requirements while remaining responsive to changing demands, ultimately leading to more effective data stewardship. Furthermore, by utilizing Atlas, organizations can enhance their data integrity and compliance efforts, further strengthening their operational resilience.

Arena provides a cutting-edge platform for comprehensive DataOps that not only enhances your data assets but also safeguards them effectively. As a premier augmented data management solution, it features a dynamic data catalog enabling users to independently enrich and access data, which streamlines the management of complex data ecosystems. Customized workflows improve the accuracy and reliability of datasets, while advanced machine learning techniques assist in identifying and harmonizing master data assets for enhanced decision-making. The platform also offers detailed lineage tracking, coupled with sophisticated visualizations and strong security protocols, such as data masking and tokenization, ensuring maximum data protection. By cataloging data from various sources, our solution simplifies data management, and its versatile connections allow for seamless integration of analytics with your preferred tools. Moreover, Arena tackles the common issue of data sprawl, empowering organizations to achieve success in both business and analytics with vital controls and adaptability in today’s multifaceted, multi-cloud data environments. As the demand for data continues to rise, Arena emerges as an indispensable ally for organizations seeking to effectively manage and leverage their data complexities. With its robust features and user-friendly design, Arena not only meets the current needs of businesses but also adapts to future challenges in the data landscape.

Data is increasingly sourced from a variety of channels, leading to a surge in both its quantity and complexity. Hidden within this vast pool of information lies a wealth of knowledge and insights, rich with untapped possibilities. However, to unlock this potential, it is essential that data informs every decision and action undertaken by the organization continuously. As businesses progress, so too does the data, giving rise to fresh insights and understanding, which fosters an ongoing cycle of learning and evolution. Industries such as financial services, healthcare, telecommunications, manufacturing, transportation, and entertainment are capitalizing on this opportunity to innovate. The path to achieving success can be both challenging and thrilling. Realizing this success necessitates exceptional speed and agility in interpreting, managing, and processing the ever-increasing volumes of dynamic data. To address these challenges, organizations must implement a comprehensive data platform that supports automation and self-service, one that thrives under constant change and adapts to new challenges while addressing complex data processing and management needs. This innovative strategy not only boosts operational efficiency but also equips organizations to sustain their competitive edge in an environment that is continuously evolving. Ultimately, the ability to effectively leverage data can determine an organization's trajectory in today's fast-paced market.

The Alex Platform stands as the ultimate resource for data and business intelligence tailored for your organization. Serving as a fundamental element for our clients' triumph in leveraging data, Alex is designed to streamline operations and maximize value from the moment it is implemented. The Alex Augmented Data Catalog employs cutting-edge machine learning technology, allowing users to quickly tap into a unified data platform that spans the entire enterprise. No matter how complex your technical landscape may be, Alex Data Lineage provides an automated and secure way to trace and understand your data flows. For global teams needing smooth collaboration across different regions, the Alex Intelligent Business Glossary, which boasts a sophisticated interface and comprehensive features, effectively supports this international cooperation. By integrating definitions, policies, metrics, rules, processes, and workflows, Alex addresses the complexities faced by multi-cloud environments and large organizations. This consolidation not only enhances clarity but also fortifies collaboration among teams. Ultimately, the platform equips organizations to initiate robust global data governance strategies, ensuring uniformity and transparency throughout their operations. As companies navigate the evolving data landscape, Alex remains a pivotal ally in achieving their strategic goals.

Create a detailed framework of your current enterprise architecture while proactively considering the implications of potential modifications using SAP PowerDesigner software. This application provides an array of functionalities, including data modeling, link-and-sync capabilities, and effective management of metadata, enabling you to swiftly record architectural layers and gather vital requirements. By leveraging a comprehensive metadata repository, you can facilitate the sharing of insights and discoveries with your team members. Utilize the innovative link-and-sync technology to create smooth connections between your organization's unique needs, vocabulary, and data models. Improve the synergy between developers and enterprise architects by employing a secure metadata repository that supports diverse modeling approaches. Additionally, enhance the experience for both users and IT staff with a flexible, wizard-guided interface for documentation and online reporting, which ultimately promotes a more efficient working atmosphere. This strategic approach not only keeps your enterprise architecture adaptable but also ensures it can swiftly respond to evolving changes in the business landscape. Ultimately, being proactive in your planning allows for a more resilient and future-proof architecture.

Infor OS is an innovative cloud operating platform designed to merge productivity, business processes, and Artificial Intelligence, offering operational insights that were previously out of reach for many organizations. This platform not only supports businesses but also propels their growth by placing the user at the heart of every interaction, serving as a unified foundation for the entire business ecosystem. As a result, it fosters a connected and intelligent network that automates workflows, anticipates requirements, forecasts results, and keeps stakeholders informed, effectively bringing together your operations. By integrating business processes with employee communications, Infor OS improves collaboration, provides contextual intelligence, enables single sign-on, and increases efficiency, allowing employees to work both more intelligently and swiftly. Additionally, the platform's flexibility facilitates the rapid creation of enterprise capabilities tailored to your unique needs, ensuring a customizable and responsive business landscape. Ultimately, this empowers you to fully leverage your organization's data and resources, paving the way for sustained innovation and growth. Furthermore, the continuous advancements in technology within Infor OS promise to keep your business at the forefront of industry trends, adapting seamlessly to future challenges.

SOLIXCloud CDP offers a cloud-oriented data management solution designed specifically for modern businesses that prioritize data. By leveraging open-source and cloud-native technologies, it allows companies to manage and analyze their structured, semi-structured, and unstructured data effectively, promoting advanced analytics, compliance with regulations, operational efficiency, and strong data security measures. The platform features essential tools such as Solix Connect for streamlined data ingestion, along with Solix Data Governance, Solix Metadata Management, and Solix Search, all of which create a comprehensive framework for cloud data management. This framework not only aids in the development and execution of data-centric applications like SQL data warehouses and machine learning models but also tackles the growing complexities tied to data management regulations, retention policies, and consumer privacy issues. By doing so, SOLIXCloud CDP equips organizations with the necessary tools to navigate the dynamic realm of data management confidently and effectively. Ultimately, businesses can harness their data better, ensuring they remain competitive in an increasingly data-driven world.

Tackling the obstacles encountered by contemporary businesses and industries relies heavily on the strategic use of big data. The ability to collect information from a multitude of sources within your organization—whether sourced from various applications, personnel, or IoT devices—creates vast potential for growth. Infor’s Data Lake tools combine schema-on-read intelligence with a quick and flexible data consumption model, fostering innovative strategies for important decision-making. By obtaining streamlined access to your entire Infor ecosystem, you can embark on the journey of capturing and utilizing big data to boost your analytics and machine learning efforts. With remarkable scalability, the Infor Data Lake acts as a unified repository, enabling the gathering of all organizational data into one place. As you broaden your insights and investments, the incorporation of additional content will lead to more informed decision-making and enhanced analytics capabilities, ultimately creating robust datasets that support your machine learning initiatives. This all-encompassing strategy not only refines data management processes but also equips organizations to maintain a competitive edge in an ever-changing environment. Additionally, embracing big data can inspire a culture of innovation, where insights drive transformation and operational efficiency.

IBM InfoSphere® Information Governance Catalog serves as a comprehensive online tool enabling users to explore, understand, and assess their data assets. It supports the development and governance of a collective business vocabulary, documents policies and regulations, and tracks data lineage effectively. By connecting with IBM Watson® Knowledge Catalog, it allows users to leverage pre-existing curated datasets, thereby augmenting their local Information Governance Catalog investment with cloud capabilities. This resource is invaluable for data professionals, as it provides streamlined access to essential metadata, ensuring that analytics and data science teams can identify the best resources while adhering to corporate governance requirements. It not only creates a cohesive business language that enhances comprehension of diverse data types—be they structured, semi-structured, or unstructured—but also captures governance policies, establishing clear guidelines for data organization, storage, transformation, and transfer. This functionality not only boosts operational efficiency but also reinforces compliance within organizations. Furthermore, the platform fosters improved collaboration among teams by guaranteeing that all members have a shared understanding of foundational data, ultimately driving better decision-making processes across the enterprise.

Data abstraction is easily accessible from various sources without the need for deployment, as everything functions seamlessly in the cloud, eliminating the requirement for a physical presence at the data source. Abstracta simplifies the integration of multiple data sources, making interactions with them more straightforward and efficient. Our unique service builder empowers users to deliver data as a service, allowing business users to perform real-time data analysis through self-service options. This significantly accelerates data security initiatives beyond conventional timelines, with our innovative profiling tags helping to optimize data authorization procedures. We improve data protection through policies that control access at both the row and column levels, enabling organizations to effectively manage and monitor their data access patterns. With our premier product, Abstracta™, organizations can make meaningful progress in their data governance efforts, protecting themselves against both internal and external security risks. Ekahaa is dedicated to achieving growth with simplicity, and our intuitive user interface enables any data to be exposed as a service in just two minutes, transforming how businesses engage with their data. Ultimately, this strategy not only enhances operational efficiency but also provides organizations with essential tools to succeed in an increasingly data-centric landscape, ensuring they remain competitive and innovative. As such, businesses can leverage these advanced capabilities to adapt swiftly to changing market demands and to capitalize on emerging opportunities.