Alternatives to Oracle Enterprise Data Management

Manta is a unified data lineage platform that serves as the central hub of all enterprise data flows. Manta can construct lineage from report definitions, custom SQL code, and ETL workflows. Lineage is analyzed based on actual code, and both direct and indirect flows can be visualized on the map. Data paths between files, report fields, database tables, and individual columns are displayed to users in an intuitive user interface, enabling teams to understand data flows in context.

Gartner's Magic Quadrant includes Centralpoint as a Digital Experience Platform. It is used by more than 350 clients around the world, and it goes beyond Enterprise Content Management. It securely authenticates (AD/SAML/OpenID, oAuth), all users for self-service interaction. Centralpoint automatically aggregates information from different sources and applies rich metadata against your rules to produce true Knowledge Management. This allows you to search for and relate disparate data sets from anywhere. Centralpoint's Module Gallery is the most robust and can be installed either on-premise or in the cloud. Check out our solutions for Automating Metadata and Automating Retention Policy Management. We also offer solutions to simplify the mashup of disparate data to benefit from AI (Artificial Intelligence). Centralpoint is often used to provide easy migration tools and an intelligent alternative to Sharepoint. It can be used to secure portal solutions for public sites, intranets, members, or extranets.

Master Data Management and Data Governance. Plug and Play adapters for Oracle Hyperion, Onestream, Anaplan, and More. The Leader in Performance Management Master data On-Premise or in the Cloud. Designed to include Business Users in MDM/Data Governance. With built-in application Intelligence, managing hierarchies in EPMware and data governance becomes a seamless process. This creates dimensional consistency across all subscribing apps. Our one-click integration allows hierarchies to be visualized and modeled in a request. This allows for real-time data governance, which ensures that metadata updates are audited and error-proof. EPMware's workflow capabilities allow metadata to be reviewed, approved, and then deployed to both on-premise and in the cloud. There are no files to load or extract, and no manual intervention. Just a seamless, audited metadata integration right out of the box. Integration and Validation Focus EPMware provides native and pre-built integration support to the most popular EPM and CPM technologies.

Enhance your agility and insights to excel in any market environment with Oracle Fusion Cloud Enterprise Performance Management (EPM). This solution enables effective modeling and planning across various functions such as finance, HR, supply chain, and sales, while also simplifying the financial close process to facilitate improved decision-making. It thoroughly meets diverse requirements with extensive capabilities in financial and operational planning, consolidation, close processes, and master data management. By ensuring seamless integration between finance and all other business sectors, it promotes enterprise-wide agility and alignment. Leverage scenario modeling and advanced analytics to enhance decision-making. Oracle EPM is consistently recognized as a leader by analysts, with numerous clients reaping greater benefits by utilizing their EPM processes in the cloud. Focus on agile and interconnected planning across all areas—from scenario analysis and long-term planning to budgeting and departmental strategies—supported by industry best practices and cutting-edge technology. With Oracle EPM, organizations can make informed decisions that align with their strategic goals.

The contemporary data workspace transforms the accessibility of your data assets, making everything from data tables to BI reports easily discoverable. With our robust search algorithms and user-friendly browsing experience, locating the right asset becomes effortless. Atlan simplifies the identification of poor-quality data through the automatic generation of data quality profiles. This includes features like variable type detection, frequency distribution analysis, missing value identification, and outlier detection, ensuring you have comprehensive support. By alleviating the challenges associated with governing and managing your data ecosystem, Atlan streamlines the entire process. Additionally, Atlan’s intelligent bots analyze SQL query history to automatically construct data lineage and identify PII data, enabling you to establish dynamic access policies and implement top-notch governance. Even those without technical expertise can easily perform queries across various data lakes, warehouses, and databases using our intuitive query builder that resembles Excel. Furthermore, seamless integrations with platforms such as Tableau and Jupyter enhance collaborative efforts around data, fostering a more connected analytical environment. Thus, Atlan not only simplifies data management but also empowers users to leverage data effectively in their decision-making processes.

Create a scalable architecture that treats data products as first-class citizens. Automate and repurpose data products. Enable compliance and robust data governance. Control the costs of your data products and pipelines for Snowflake. This global pharmaceutical giant's data product teams can benefit from next-generation analytics using self-service data and analytics infrastructure that includes Snowflake and other tools that use a data mesh approach. The DataOps.live platform allows them to organize and benefit from next generation analytics. DataOps is a unique way for development teams to work together around data in order to achieve rapid results and improve customer service. Data warehousing has never been paired with agility. DataOps is able to change all of this. Governance of data assets is crucial, but it can be a barrier to agility. Dataops enables agility and increases governance. DataOps does not refer to technology; it is a way of thinking.

K2View believes that every enterprise should be able to leverage its data to become as disruptive and agile as possible. We enable this through our Data Product Platform, which creates and manages a trusted dataset for every business entity – on demand, in real time. The dataset is always in sync with its sources, adapts to changes on the fly, and is instantly accessible to any authorized data consumer. We fuel operational use cases, including customer 360, data masking, test data management, data migration, and legacy application modernization – to deliver business outcomes at half the time and cost of other alternatives.

To grasp the concept of master data management (MDM) thoroughly, we must start by defining master data while distinguishing it from master data management itself. Master data refers to the essential business information that underpins and categorizes the transactional and analytical data within an organization. This type of data is sometimes called “enterprise data” or “metadata” and typically encompasses application-specific metadata, various business perspectives, corporate dimensions, reference data, and master data assets. Instances of such enterprise data can include the chart of accounts, organizational or cost-center structures, market segments, product categories, and additional elements. On the other hand, master data management (MDM) performs the role indicated by its name—specifically managing master data. MDM integrates a suite of applications and technologies designed to consolidate, cleanse, and enhance master data while ensuring its synchronization with various applications, business processes, and analytical tools. Overall, MDM plays a crucial role in maintaining the integrity and consistency of data across an enterprise, ultimately driving more informed decision-making.

The Adaptive Metadata Manager™ version 10.0 features a collection of highly customizable software elements designed to equip organizations with the essential eight capabilities necessary for effective governance and enhancement of nearly any data-centric business function. These key capabilities include Data Lineage, Data Quality, Impact Analysis, Business Terminology, Business to Technical Traceability, Version Management, Change Approval Workflow, Stewardship, and Automated Harvesting & Stitching. Constructed on a contemporary web application framework, users can conveniently access application modules through a web browser. Furthermore, functionalities such as business glossary searches can be seamlessly integrated into desktop productivity tools, including Microsoft Office and Outlook, allowing for convenient in-document searching. This integration not only streamlines workflows but also enriches user experience by providing immediate access to vital information.

In today’s data-driven landscape, the quest for data often consumes more time than the actual analysis itself. Azure Data Catalog serves as a comprehensive metadata repository designed to simplify the process of discovering data assets across the enterprise. This fully-managed service empowers users—from analysts to data scientists and developers—to register, enhance, locate, comprehend, and utilize various data sources effectively. You can engage with data using your preferred tools, as Data Catalog enables you to access the information you require and integrate it seamlessly into your workflows. Your data remains where you prefer, while Data Catalog facilitates the exploration and utilization of that data in a user-friendly manner. By promoting widespread adoption and fostering ongoing value creation within your data ecosystem, Data Catalog provides useful insights, practical tips, and unwritten guidelines within a shared platform that benefits all users. With this tool, contributions from everyone are encouraged, leading to a democratization of data asset discovery that enhances collaborative efforts. This collective engagement ultimately transforms how organizations leverage data, paving the way for innovation and efficiency.

The Alex Platform serves as the definitive source of data and business accuracy for your organization. It is a crucial element that underpins our clients' success in utilizing data effectively. From the very first day of its deployment, Alex is engineered to simplify operations and deliver value right from the start. The Alex Augmented Data Catalog harnesses top-tier machine learning technology, swiftly creating a cohesive data environment across the entire enterprise. Regardless of the intricacies of your technical framework, Alex Data Lineage enables you to effortlessly track and comprehend your data movements in a secure and automated manner. In an increasingly interconnected world, global teams require seamless coordination. The Alex Intelligent Business Glossary boasts an attractive user interface and comprehensive features, making it ideal for fostering international collaboration. By consolidating all definitions, policies, metrics, rules, and workflows, you can effectively tackle the challenges posed by multi-cloud environments and global enterprises. This approach empowers robust data governance initiatives, ensuring that all aspects of data management are consistently aligned across the organization. Ultimately, Alex not only streamlines operations but also enhances the overall strategic decision-making process.

Ataccama is a revolutionary way to manage data and create enterprise value. Ataccama unifies Data Governance, Data Quality and Master Data Management into one AI-powered fabric that can be used in hybrid and cloud environments. This gives your business and data teams unprecedented speed and security while ensuring trust, security and governance of your data.

With automated indexing of warehouses, lakes, dashboards, and various components of your data ecosystem, Metaphor enhances data visibility by integrating utilization metrics, lineage tracking, and social popularity indicators to present the most reliable data to your audience. It fosters a comprehensive view of data and facilitates discussions about it across the organization, ensuring that everyone has access to crucial information. Engage with your clients by seamlessly sharing catalog artifacts, including documentation, directly within Slack. You can also tag meaningful conversations in Slack and link them to specific data points. This promotes collaboration by enabling the organic discovery of key terms and usage patterns, breaking down silos effectively. Discovering data throughout your entire stack becomes effortless, and you can create both technical documentation and user-friendly wikis that cater to non-technical stakeholders. Furthermore, you can provide direct support to users in Slack and leverage the catalog as a Data Enablement tool, streamlining the onboarding process for a more tailored user experience. Ultimately, this approach not only enhances data accessibility but also strengthens the overall data literacy within your organization.

Alation stands out as the pioneering company to introduce a data catalog to the market, significantly enhancing the ways individuals discover, comprehend, trust, utilize, and repurpose data. By leading the charge in active, non-invasive data governance, Alation effectively facilitates data democratization while ensuring compliance on a large scale, providing users with the necessary data along with clear guidance on its appropriate usage. The company addresses some of the most pressing data challenges today by merging human insights with advanced AI and machine learning technologies. Currently, over 350 enterprises rely on Alation to empower their decision-making with confidence based on data. Notable clients include American Family Insurance, Exelon, Munich Re, and Pfizer, all of whom benefit from Alation’s innovative solutions. This widespread adoption underscores the company's impact on fostering a data-driven culture across various industries.

Jump to our product page for more information about our data integration software. This includes solutions for Active Directory and SharePoint. Our data integration solutions offer developers the opportunity to use the flexibility and power offered by the SSIS ETL engine to connect almost any application or data source. Data integration is possible without writing any code. This means that your development can be completed in minutes. Our integration solutions are the most flexible on the market. Our software has intuitive user interfaces that make it easy and flexible to use. Our solution is easy to use and offers the best return on your investment. Our software has many features that will help you achieve the highest performance without consuming too much of your budget.

Regardless of the location of your data—whether in cloud environments, traditional systems, or data lakes such as Hadoop—SAS Data Management provides the tools necessary to access the information you require. You can establish data management protocols once and apply them repeatedly, allowing for a consistent and efficient approach to enhancing and unifying data without incurring extra expenses. IT professionals often find themselves managing responsibilities beyond their typical scope, but SAS Data Management empowers your business users to make data updates, adjust workflows, and conduct their own analyses, thereby allowing you to concentrate on other initiatives. Moreover, the inclusion of a comprehensive business glossary along with SAS and third-party metadata management and lineage visualization features ensures that all team members remain aligned. The integrated nature of SAS Data Management technology means you won't have to deal with a disjointed solution; rather, all components, ranging from data quality to data federation, operate within a unified architecture, providing seamless functionality. This cohesive system fosters collaboration and enhances overall productivity across your organization.

Oracle Cloud Infrastructure (OCI) Data Catalog serves as a comprehensive metadata management service tailored for data professionals to facilitate data discovery and governance efforts. It is specifically designed to integrate seamlessly with the Oracle ecosystem, offering features such as an asset inventory, a business glossary, and a unified metastore for data lakes. Fully managed by Oracle, OCI Data Catalog harnesses the extensive capabilities and scalability of Oracle Cloud Infrastructure. Users can take advantage of the robust security, reliability, and performance that Oracle Cloud offers while utilizing the features of OCI Data Catalog. Developers have the option to leverage REST APIs and SDKs to incorporate OCI Data Catalog functionalities into their bespoke applications. Administrators benefit from a reliable system for overseeing user identities and access rights, enabling them to regulate access to catalog objects in accordance with security policies. By exploring data assets available in both Oracle's on-premises and cloud environments, organizations can begin to unlock significant value from their data resources. This comprehensive approach ensures that data governance and management align with organizational goals and compliance requirements.

Erwin Data Intelligence (erwin DI) integrates data cataloging and data literacy functions to enhance awareness and accessibility of data assets while providing guidance for their usage and establishing safeguards to uphold data policies and best practices. It automatically gathers, transforms, and compiles metadata from a diverse range of data sources, business applications, operational processes, and data models into a centralized catalog. This catalog is then rendered accessible and comprehensible through role-specific, contextual views, empowering stakeholders to make informed strategic decisions based on reliable insights. Furthermore, erwin DI promotes enterprise data governance and supports digital transformation initiatives, alongside any endeavors that depend on data for successful results. It allows for the scheduling of regular metadata scans from a wide variety of data sources, simplifying the mapping of data elements from their origin to their destination, including data in transit, while facilitating seamless data integration across different platforms. In addition, it enables data consumers to identify and explore data that is pertinent to their specific roles, thereby enhancing overall data engagement within the organization. Ultimately, erwin DI serves as a powerful tool for maximizing the value derived from data assets.

ER/Studio Enterprise Team Edition allows data modelers and architects the ability to share data models and metadata throughout an enterprise. It offers a complete solution to enterprise architecture and data governance.

Atlas serves as a versatile and scalable suite of essential governance services, empowering organizations to efficiently comply with regulations within the Hadoop ecosystem while facilitating integration across the enterprise's data landscape. Apache Atlas offers comprehensive metadata management and governance tools that assist businesses in creating a detailed catalog of their data assets, effectively classifying and managing these assets, and fostering collaboration among data scientists, analysts, and governance teams. It comes equipped with pre-defined types for a variety of both Hadoop and non-Hadoop metadata, alongside the capability to establish new metadata types tailored to specific needs. These types can incorporate primitive attributes, complex attributes, and object references, and they can also inherit characteristics from other types. Entities, which are instances of these types, encapsulate the specifics of metadata objects and their interconnections. Additionally, REST APIs enable seamless interaction with types and instances, promoting easier integration and enhancing overall functionality. This robust framework not only streamlines governance processes but also supports a culture of data-driven collaboration across the organization.

Hackolade Studio is a comprehensive data modeling platform built for today’s complex and hybrid data ecosystems. Originally developed to address the lack of visual design tools for NoSQL databases, Hackolade has evolved into a multi-model solution that supports the broadest range of data technologies in the industry. The platform enables agile, iterative schema design and governance for both structured and semi-structured data, making it ideal for organizations working across traditional RDBMS, modern data warehouses, NoSQL stores, and streaming systems. Hackolade supports technologies such as Oracle, PostgreSQL, BigQuery, Databricks, Redshift, Snowflake, MongoDB, Cassandra, DynamoDB, Neo4j, Kafka (with Confluent Schema Registry), OpenAPI, GraphQL, and more. Beyond databases, Hackolade Studio offers robust capabilities for API modeling, supporting OpenAPI (Swagger) and GraphQL, as well as native modeling for data exchange formats like JSON Schema, Avro, Protobuf, Parquet, and YAML. It also integrates with metadata and data governance platforms like Unity Catalog and Collibra, making it a powerful enabler for organizations focused on data quality, lineage, and compliance. Key features include reverse and forward engineering, schema versioning, data type mapping, and team collaboration tools. Whether you're building data products, managing data contracts, or migrating between systems, Hackolade Studio provides a unified interface for modeling, documenting, and evolving your schemas. Hackolade is trusted by enterprises across finance, retail, healthcare, and telecom to align data architecture with real-world delivery. It’s an essential tool for teams implementing data mesh, data fabric, microservices, or API-first strategies.

SAP Information Steward software facilitates data profiling, monitoring, and the management of information policies. Acting as the information governance component of the SAP Business Technology Platform, it enables organizations to foresee risks and enhance business results. By integrating data profiling, data lineage, and metadata management, users can achieve ongoing visibility into the reliability of their enterprise data framework. This allows for a deeper comprehension of data quality throughout the data management ecosystem, while providing access to analytical metrics through user-friendly dashboards and scorecards. To advance enterprise information management efforts, it offers unwavering validation rules and guidelines to support analysts, data stewards, and IT professionals alike. With the ability to discover, evaluate, define, oversee, and enhance the quality of your enterprise data assets through data profiling and metadata management, all functions are available in a single solution. Moreover, organizations can simulate potential cost reductions stemming from enhanced data quality by conducting what-if analyses, thus paving the way for informed decision-making. Ultimately, this software not only streamlines processes but also reinforces the significance of maintaining high-quality data.

Smartlogic's Semaphore, a cutting-edge Semantic AI platform, uncovers qualified contextual data through a centralized integrated system that effectively identifies enterprise information and facilitates the creation and management of semantic and active metadata, as well as information extraction. This powerful tool serves as a foundation for cognitive applications, enabling intelligent contextual searches, enhancing process automation, providing relevant recommendations, improving customer experiences, ensuring regulatory compliance, managing contract lifecycles, and bolstering information security. By leveraging Semaphore, organizations can drive impactful marketing efforts, boost revenue, and enhance customer satisfaction while streamlining operational efficiency and mitigating risks. The platform empowers businesses to bridge the gap between their language and that of their customers, ensuring timely access to the right information for support. Furthermore, it helps close compliance gaps, enforces governance best practices, and lowers costs through transparent and traceable outcomes, ultimately leading to a more informed and agile organization. Adopting Semaphore not only improves operational workflows but also fosters a culture of accountability and continuous improvement.

Efficiently scan and catalog metadata, uncover and characterize data, while offering comprehensive lineage tracking over millions of datasets. Organize and classify data assets across diverse environments to enhance their value and facilitate reuse. Perform automated scanning across multi-cloud environments, business intelligence tools, ETL processes, and external metadata catalogs, along with various data types. Utilize AI-driven capabilities for domain discovery, data similarity assessment, business term linkages, and tailored recommendations. Monitor data movement with precision, ranging from overarching system perspectives to detailed column-level lineage, accompanied by thorough impact assessments. Access the Data Asset Analytics dashboard to gain insights into asset utilization, enrichment processes, and collaborative efforts. Examine data quality protocols, scorecards, metric clusters, and profiling statistics within their relevant contexts. Engage with shared data intelligence through certifications, ratings and feedback, a Q&A feature, and timely change alerts. What truly distinguishes Informatica is its extensive and robust suite of enterprise-grade data management solutions, ensuring comprehensive support for diverse data needs. With such capabilities, organizations can navigate their data landscapes more effectively and make informed decisions.

Create rich, interactive dashboards to accelerate your analytical insights throughout your enterprise. Cloudera Data Visualization allows data engineers, data scientists, and business analysts to explore data, collaborate and share insights throughout the data lifecycle - from data ingest through to data insights. Data Visualization, a native Cloudera product, provides a consistent data visualization experience that is easy to use. It includes drag-and drop dashboards and custom applications. SDX provides full security for Data Visualization, enabling enhanced data workflows in all your data and analytics workflows. Cloudera Machine Learning can be used to build predictive applications, or you can leverage your data warehouse for fast intelligent reporting.

Incorporate a cutting-edge Semantic AI platform to create intelligent applications and systems. Utilize PoolParty to streamline the process of metadata generation, ensuring that information is easily accessible for use, sharing, and analysis. By bridging the gap between unstructured and structured data, PoolParty effectively connects disparate data sources across various databases. Experience the advantages of advanced graph-based data and content analytics powered by top-tier machine learning methods. Leverage your data effectively, as PoolParty enhances its quality, resulting in more accurate outcomes from AI applications and superior decision-making capabilities. Discover why leading global corporations are adopting Knowledge Graphs and why your organization should follow suit. Interact with specialists, partners, and client presentations to fully harness the potential of semantic technologies and holistic views. We have successfully assisted more than 180 enterprise-level clients in overcoming the complexities of information management, fostering a more efficient data landscape. Embrace these innovative solutions to stay ahead in a rapidly evolving digital world.

Data forms the essential foundation of the digital economy, and we are transforming the way organizations utilize data to generate value. Enterprises rely on Enveil’s award-winning ZeroReveal® solutions to securely and privately handle data in situ across various organizational borders, jurisdictions, and third-party interactions, all while maintaining the confidentiality of both the data and the outcomes. Our privacy-enhancing technologies (PETs), coupled with homomorphic encryption, create an effective and decentralized framework for data collaboration that aims to minimize risks and tackle business issues such as data sharing, monetization, and regulatory compliance. By safeguarding data during its use and processing—often regarded as the 'holy grail' of secure data handling—we offer the most advanced encrypted search, analytics, and machine learning products available. Enveil stands as a trailblazer in privacy-enhancing technology, dedicated to ensuring secure data usage, sharing, and monetization, while continuously pushing the boundaries of what is possible in data protection. As the digital landscape evolves, our solutions are poised to adapt and meet emerging challenges in data security and privacy.

Simplifying data collaboration is our mission. Whether you're a developer eager to push the boundaries of innovation or a data specialist seeking effective version control, our platform caters to all needs. TerminusDB is an open-source knowledge graph database designed to facilitate secure, efficient, and private revision control and teamwork. By using TerminusDB, you can enhance your productivity when collaborating with teammates or developing data-heavy applications. It offers a comprehensive set of revision control functionalities. With TerminusHub, users can oversee database access and work together on shared resources seamlessly. Our platform boasts versatile capabilities for data storage, sharing, and versioning, making it suitable for both team-based collaboration and integration into applications. You can operate locally and sync changes when you're ready. Our tools also simplify querying, data cleaning, and visualization tasks. By incorporating robust version control and collaborative features, we empower both enterprise and individual users, enabling remote data teams to collaborate efficiently on projects. Together, we can drive innovation through effective data teamwork.

Delphix is the industry leader for DataOps. It provides an intelligent data platform that accelerates digital change for leading companies around world. The Delphix DataOps Platform supports many systems, including mainframes, Oracle databases, ERP apps, and Kubernetes container. Delphix supports a wide range of data operations that enable modern CI/CD workflows. It also automates data compliance with privacy regulations such as GDPR, CCPA and the New York Privacy Act. Delphix also helps companies to sync data between private and public clouds, accelerating cloud migrations and customer experience transformations, as well as the adoption of disruptive AI technologies.

OpenText™ Lens™ is a robust and intuitive cloud-based application designed to provide transparency into the data interactions among enterprise applications, connected systems, customers, suppliers, and trading partners. By utilizing Lens, businesses can acquire the insights necessary to track the health of their processes against key performance indicators, enabling rapid responses to significant events and enhancing overall productivity. This tool ensures that insights related to integrated data flows are readily available to business users, allowing for an extended visibility that goes beyond the IT department. Users are treated to a top-tier experience, personalized through features like notifications, alerts, reporting, and collaboration tools. All data flows processed on the OpenText™ Trading Grid™ platform can be viewed in a unified interface, facilitating a comprehensive understanding of operations. This full visibility into various integration flows provides detailed insights into business processes in near real-time, empowering organizations to leverage data-driven insights for agile management. Moreover, by proactively addressing unforeseen challenges and mitigating risks, businesses can maintain their operational integrity and drive success. Ultimately, OpenText™ Lens™ serves as an essential tool for organizations looking to enhance their data visibility and operational efficiency.

An effective platform that provides a precise and unified view of enterprise data. Quick. Accurate. Economical. Synchronos is a robust master data management (MDM) software solution designed for both operational and analytical tasks. It allows businesses to circumvent traditional methods that often demand extensive time and financial commitments, along with significant risks during the implementation and upkeep of MDM. Rather than following conventional paths, Synchronos achieves remarkable accuracy in just one-third of the time and cost typically expected. Our solutions are flexible and evolve alongside your requirements. With a track record of delivering thousands of successful projects, we positively impact millions of clients each day. Our customer-centric approach drives us to continuously push our boundaries and explore innovative strategies for tackling data challenges. With our deep-rooted experience, we collaborate effectively with diverse teams, ensuring that clients can trust us to devise creative solutions tailored to their unique needs. This commitment to adaptability and innovation positions Synchronos as a leader in the MDM space.

Dockit Metadata Manager allows you to manage all aspects of metadata management within SharePoint. SharePoint content without proper metadata is a storage repository that SharePoint users can access. This results in poor user adoption and under-utilization of SharePoint's powerful capabilities. No matter if you have an established SharePoint environment that is in production or are just beginning to organize your SharePoint metadata, you must have complete control over how it is organized and managed. Find your SharePoint metadata across different elements like sites, lists, libraries, etc. Before you migrate to SharePoint, discover the metadata in your file shares or folders. To further improve your metadata, you must first identify what is there.

Design a comprehensive blueprint of your existing enterprise architecture and anticipate the effects of changes in advance using SAP PowerDesigner software. This tool offers features like data modeling, link-and-sync functionality, and efficient metadata management, allowing you to quickly document architecture layers and capture essential requirements. By utilizing a robust metadata repository, you can easily share insights and findings with your team. Establish seamless connections between your organization’s specific needs, terminology, and data models through innovative link-and-sync technology. Enhance the collaboration between developers and enterprise architects by leveraging a secure metadata repository that accommodates various modeling types. Furthermore, streamline the experience for both users and IT personnel with an adaptable, wizard-driven interface for documentation and online reporting, ultimately fostering a more productive working environment. By implementing this approach, you can ensure that your enterprise architecture remains agile and responsive to changes.

Oracle Enterprise Metadata Management (OEMM) serves as a robust platform for managing metadata. It is capable of harvesting and cataloging metadata from a wide array of sources, such as relational databases, Hadoop, ETL processes, business intelligence systems, and data modeling tools, among others. Beyond merely acting as a repository for metadata, OEMM facilitates interactive searching and browsing of the data, while also offering features like data lineage tracking, impact analysis, and both semantic definition and usage analysis for any asset in its catalog. With its sophisticated algorithms, OEMM integrates metadata from various providers, creating a comprehensive view of the data journey from its origin to its final report or back. The platform's compatibility extends to numerous metadata sources, including data modeling tools, databases, CASE tools, ETL engines, data warehouses, BI systems, and EAI environments, among many others. This versatility ensures that organizations can effectively manage and utilize their metadata across diverse environments.

Oversee and protect the entire data lifecycle from the Edge to AI across any cloud platform or data center. Functions seamlessly within all leading public cloud services as well as private clouds, providing a uniform public cloud experience universally. Unifies data management and analytical processes throughout the data lifecycle, enabling access to data from any location. Ensures the implementation of security measures, regulatory compliance, migration strategies, and metadata management in every environment. With a focus on open source, adaptable integrations, and compatibility with various data storage and computing systems, it enhances the accessibility of self-service analytics. This enables users to engage in integrated, multifunctional analytics on well-managed and protected business data, while ensuring a consistent experience across on-premises, hybrid, and multi-cloud settings. Benefit from standardized data security, governance, lineage tracking, and control, all while delivering the robust and user-friendly cloud analytics solutions that business users need, effectively reducing the reliance on unauthorized IT solutions. Additionally, these capabilities foster a collaborative environment where data-driven decision-making is streamlined and more efficient.

Kylo serves as an open-source platform designed for effective management of enterprise-level data lakes, facilitating self-service data ingestion and preparation while also incorporating robust metadata management, governance, security, and best practices derived from Think Big's extensive experience with over 150 big data implementation projects. It allows users to perform self-service data ingestion complemented by features for data cleansing, validation, and automatic profiling. Users can manipulate data effortlessly using visual SQL and an interactive transformation interface that is easy to navigate. The platform enables users to search and explore both data and metadata, examine data lineage, and access profiling statistics. Additionally, it provides tools to monitor the health of data feeds and services within the data lake, allowing users to track service level agreements (SLAs) and address performance issues effectively. Users can also create batch or streaming pipeline templates using Apache NiFi and register them with Kylo, thereby empowering self-service capabilities. Despite organizations investing substantial engineering resources to transfer data into Hadoop, they often face challenges in maintaining governance and ensuring data quality, but Kylo significantly eases the data ingestion process by allowing data owners to take control through its intuitive guided user interface. This innovative approach not only enhances operational efficiency but also fosters a culture of data ownership within organizations.

Enable data for AI and analytics in a business-friendly manner through smart cataloging, supported by proactive metadata and policy governance. The IBM Watson® Knowledge Catalog serves as a powerful tool for discovering data, models, and more, enhancing the self-service exploration experience. Acting as a cloud-based repository for enterprise metadata, it facilitates the activation of information for AI, machine learning (ML), and deep learning applications. Users can access, curate, categorize, and share data and knowledge assets along with their interconnections, regardless of their location. By organizing, defining, and managing enterprise data effectively, organizations can ensure they have the appropriate context to generate value for various needs, including regulatory compliance and data monetization efforts. Furthermore, it safeguards data integrity, oversees compliance and audit readiness, and fosters client trust through active policy management and the dynamic masking of sensitive information. With user-friendly dashboards and workflows that can be easily shared with colleagues or integrated with analytical tools, businesses can consume and transform data efficiently to keep pace with their operational demands. By leveraging these capabilities, organizations can enhance their decision-making processes and drive innovation across their operations.

Explore the exceptional features offered by Global IDs, which provide a comprehensive range of Enterprise Data Solutions including data governance, compliance, cloud migration, rationalization, privacy, analytics, and more. The Global IDs EDA Platform includes essential functionalities such as automated discovery and profiling, data classification, data lineage, and data quality, all aimed at ensuring that data is transparent, reliable, and understandable throughout the ecosystem. Additionally, the architecture of the Global IDs EDA platform is built for seamless integration, enabling access to all its functionalities through APIs. This platform effectively automates data management for organizations of varying sizes and diverse data environments. By utilizing Global IDs EDA, businesses can significantly enhance their data management practices and drive better decision-making.

Inquiring stands out as the premier strategic enterprise planning platform, empowering large organizations to maximize their data potential. With its extensive array of robust strategic planning tools and top-notch metadata management seamlessly integrated, the IQ platform ensures complete integration, exceptional insights, and significant impact for today's enterprises. The innovative InQuisient platform boasts unmatched data management features, effectively delivering these capabilities through your existing workforce. You can create tailored database solutions from the ground up, utilize a comprehensive selection of ready-to-use tools, or find a balance between the two. This platform allows for the swift and secure deployment of your data's power across your organization, all via an easy-to-use web browser interface. A more intelligent and efficient approach to planning, transformation, and management is now attainable. By harnessing the capabilities of InQuisient’s PPM tools and platform, organizations can discover why IQ is the go-to choice for achieving outstanding results in enterprise settings. The future of strategic planning is not just promising; it's here with InQuisient.

SOLIXCloud CDP provides a cloud-based data management solution tailored for contemporary data-centric businesses. Utilizing open-source and cloud-native technologies, it enables organizations to effectively handle and analyze their structured, semi-structured, and unstructured data, facilitating advanced analytics, regulatory compliance, infrastructure efficiency, and robust data security. Key components of this platform include Solix Connect for efficient data ingestion, Solix Data Governance, Solix Metadata Management, and Solix Search, collectively forming a holistic framework for managing cloud data. This framework supports the development and operation of data-driven applications, including SQL data warehouses, machine learning models, and artificial intelligence systems, while addressing the increasing complexities associated with data management regulations, data retention policies, and consumer privacy concerns. In this way, SOLIXCloud CDP empowers companies to navigate the evolving landscape of data management with confidence.

DataHub is a versatile open-source metadata platform crafted to enhance data discovery, observability, and governance within various data environments. It empowers organizations to easily find reliable data, providing customized experiences for users while avoiding disruptions through precise lineage tracking at both the cross-platform and column levels. By offering a holistic view of business, operational, and technical contexts, DataHub instills trust in your data repository. The platform features automated data quality assessments along with AI-driven anomaly detection, alerting teams to emerging issues and consolidating incident management. With comprehensive lineage information, documentation, and ownership details, DataHub streamlines the resolution of problems. Furthermore, it automates governance processes by classifying evolving assets, significantly reducing manual effort with GenAI documentation, AI-based classification, and intelligent propagation mechanisms. Additionally, DataHub's flexible architecture accommodates more than 70 native integrations, making it a robust choice for organizations seeking to optimize their data ecosystems. This makes it an invaluable tool for any organization looking to enhance their data management capabilities.

Your organization recognizes the significance of data and the importance of making it accessible to business users for optimal effectiveness; however, without proper enterprise data governance, locating, comprehending, and trusting that data may pose challenges. Data360 Govern serves as a comprehensive solution for enterprise data governance, cataloging, and metadata management, enabling you to have confidence in your data's quality, value, and reliability. By automating governance and stewardship responsibilities, it equips you to address vital questions regarding your data's origin, usage, significance, ownership, and overall quality. Utilizing Data360 Govern allows for quicker decision-making regarding data management and usage, fosters collaboration throughout the organization, and ensures users can access the necessary answers promptly. Furthermore, gaining transparency into your organization's data ecosystem empowers you to monitor critical data that aligns with your key business objectives, ultimately enhancing strategic initiatives and fostering growth.

The Collibra Data Intelligence Cloud serves as your comprehensive platform for engaging with data, featuring an exceptional catalog, adaptable governance, ongoing quality assurance, and integrated privacy measures. Empower your teams with a premier data catalog that seamlessly merges governance, privacy, and quality controls. Elevate efficiency by enabling teams to swiftly discover, comprehend, and access data from various sources, business applications, BI, and data science tools all within a unified hub. Protect your data's privacy by centralizing, automating, and streamlining workflows that foster collaboration, implement privacy measures, and comply with international regulations. Explore the complete narrative of your data with Collibra Data Lineage, which automatically delineates the connections between systems, applications, and reports, providing a contextually rich perspective throughout the organization. Focus on the most critical data while maintaining confidence in its relevance, completeness, and reliability, ensuring that your organization thrives in a data-driven world. By leveraging these capabilities, you can transform your data management practices and drive better decision-making across the board.

The need for insights derived from data and for innovative solutions has reached unprecedented levels. In the current landscape of global business, maintaining a competitive advantage relies heavily on the capacity to utilize reliable data for making strategic and informed decisions. Sadly, despite the vast amounts of data that many organizations gather, it often goes underutilized because business leaders struggle to locate it or lack the understanding and trust necessary to leverage it effectively. ASG Data Intelligence (ASG DI) addresses this issue of data skepticism through its metadata-centric platform, which enhances the intelligence of technical data by providing comprehensive views of the data lifecycle and its transformations, alongside contextual business relevance. By empowering users across various roles—such as data scientists, analysts, and marketers—data can be harnessed to its full potential when it is accessible, comprehensible, and dependable. Establishing confidence in data is essential, and this is achieved by enhancing the understanding of its origins, the processes it undergoes, and the business context in which it operates. Consequently, organizations can transform their approach to data and drive greater innovation and efficiency.

Break free from the limitations of application silos, budget overruns, and outdated skills by leveraging our advanced data and analytics platform to accelerate growth. This sophisticated platform is tailored for effective data management and in-depth analytics, facilitating seamless scaling across various technological environments. Our innovative architecture is designed to comprehend the flow and transformation of data throughout its entire lifecycle. This capability supports the creation of resilient enterprise AI applications that can withstand future challenges. With a highly modular and flexible design, our platform accommodates a diverse range of components, allowing for effortless integration. Its multi-tenant architecture is specifically crafted to promote scalability. Additionally, advanced data visualization tools simplify the analysis of intricate data structures, leading to improved enterprise AI application development within an intuitive, low-code predictive environment. Built on a unique hybrid multi-cloud framework utilizing open-source community software, our platform is highly adaptable, secure, and cost-effective, making it an ideal choice for organizations seeking efficiency and innovation. Furthermore, this platform not only empowers businesses to harness their data effectively but also enhances collaboration across teams, fostering a culture of data-driven decision-making.