Alternatives to Oracle Enterprise Metadata Management

The Adaptive Metadata Manager™, a set of highly configurable software components, provides an organization with eight core capabilities that allow it to manage and improve any data-driven business capability. These capabilities include Data Lineage, Data Quality and Impact Analysis, Business Terminology as well as Business to Technical Traceability, Version management, Change Approval Workflows, Stewardship and Automated Harvesting, & Stitching. Application modules can be accessed through a web browser thanks to a modern web app stack. End-user capabilities such as business glossary lookups are easily integrated into desktop productivity apps (such as Microsoft Office and Outlook email clients) for 'in–document' searching.

You will be able to adapt and gain the insights you need in any market. Oracle Fusion Cloud Enterprise Performance Management, (EPM), helps you plan and model across finance, HR and supply chain. It also streamlines the financial close process and makes it easier to make better decisions. Your needs are met with comprehensive functionality across financial and operational planning as well as consolidation and close, master information management, and other areas. For enterprise-wide agility, and alignment, seamlessly connect finance with all lines of business. With built-in, advanced analytics and scenario modeling, you can make better decisions. Oracle EPM consistently ranks high in analyst rankings. Thousands of customers get more value from Oracle EPM when they use the cloud to run their EPM processes. You can create connected, agile plans that are built on best practices using advanced technologies. This includes everything from budgeting and line-of-business planning to scenario modeling and long-range planning.

DataGalaxy’s all-in one data catalog provides out-of-the box actionability, with fully-customizable features, visualization tools, AI integration, to give business teams a way to document, link and track their metadata assets. The Data Catalog 360deg platform's user-centric approach is dedicated to metadata management, knowledge sharing, and mapping. This helps your organization manage data in the way that you want. A data catalog allows employees from different teams to collaborate by using homogeneous, centralized data sets. Our data catalog provides clarity for data definitions, synonyms and essential business attributes. It also includes a semantic layer to help all users understand and leverage data. If you are looking for answers on a specific metadata, the data catalog will identify 360deg data experts and owners. This will empower your team by facilitating collaboration.

You can scan and index metadata, discover and profile information, and provide detailed lineage across tens to millions of data sets. To maximize data reuse and data value, classify and organize data assets in any environment. Automate scanning across multiple cloud platforms, BI tools and ETL tools; and data types. AI-powered domain discovery, data similarities, business term associations, recommendations, and recommendation making are possible. You can track data movement from high-level system views through to fine column-level lineage and get detailed impact analysis. The Data Asset Analytics dashboard allows you to see asset usage, enrichment, collaboration. You can view data quality rules, scorecards and metric groups in context. You can tap into shared data knowledge through certifications, ratings, reviews, a Q&A forum, and change notifications. Informatica stands out from the rest with its extensive range of enterprise-grade data management products.

Atlas is a flexible and extensible set core foundational governance services that enable enterprises to efficiently and effectively meet their compliance requirements within Hadoop. It also allows integration with the entire enterprise data ecosystem. Apache Atlas offers open metadata management and governance capabilities that allow organizations to create a catalog of their data assets, classify, govern and provide collaboration capabilities around these assets for data scientists, analysts, and the data governance group. Pre-defined types to manage various Hadoop and non Hadoop metadata. Ability to create new types to manage metadata. Types can inherit from other types, and can have simple attributes, complex attributes, and object references. Type instances, also known as entities, are able to capture metadata object details and their relationships. REST APIs allow for easier integration with types and instances.

Intelligent cataloging enables you to activate business-ready data for AI/analytics. It is supported by active metadata management and policy management. IBM Watson®, Knowledge Catalog is a data catalogue tool that powers intelligent, self service discovery of data, models, and more. The cloud-based enterprise metadata repository activates data for AI, machine learning (ML), and deep learning. Access, categorize, categorize, and share knowledge assets, data, and their relationships wherever they are located. To provide the right context and drive value across requirements such as regulatory compliance and data monetization, organize, define, and manage enterprise data. Active policy management and dynamic masking allow clients to trust you. This will help protect data and manage compliance and audit readiness. With intuitive dashboards and flows, you can consume and transform data at the speed and convenience of business. These flows can be shared with colleagues or analytics tools.

Your metadata can be discovered, documented and managed. Dataedo has multiple automated metadata scanners. These scanners connect to different database technologies, extract data structures, and then load them into the metadata repository. In just a few clicks you can create a catalog of all your data and then describe each element. With business-friendly aliases, decrypt column and table names and provide meaning and purpose to data assets with descriptions and custom fields. To find out what data is stored in your data asset, you can use sample data. Make sure you have a better understanding of the data before you use it. Data profiling can help ensure high quality data. Data profiling allows everyone to have access to data knowledge. A lightweight, on-premises data catalogue can help you build data literacy, democratize data, and empower your employees to make better data use. A data catalog can help you increase data literacy.

Oracle Cloud Infrastructure (OCI Data Catalog) is a metadata management tool that aids data professionals in discovering data and supporting data governance. It was designed to integrate with the Oracle ecosystem. It provides an inventory of assets and a business glossary. OCI Data Catalog is fully managed and maintained by Oracle. It runs on all the power and scale that Oracle Cloud Infrastructure offers. OCI Data Catalog offers all the security, reliability and performance of Oracle Cloud. Developers can integrate OCI Data Catalog's capabilities into their own applications by using REST APIs or SDKs. Administrators can manage access to OCI Data Catalog objects and security requirements by using a trusted system to manage user identities and access privileges. To get real value out of data, discover data assets in Oracle data stores both on-premises or in the cloud.

Talend Data Catalog provides your organization with a single point of control for all your data. Data Catalog provides robust tools for search, discovery, and connectors that allow you to extract metadata from almost any data source. It makes it easy to manage your data pipelines, protect your data, and accelerate your ETL process. Data Catalog automatically crawls, profiles and links all your metadata. Data Catalog automatically documents up to 80% of the data associated with it. Smart relationships and machine learning keep the data current and up-to-date, ensuring that the user has the most recent data. Data governance can be made a team sport by providing a single point of control that allows you to collaborate to improve data accessibility and accuracy. With intelligent data lineage tracking and compliance tracking, you can support data privacy and regulatory compliance.

To have complete control over your data, harness the power of data discovery, data lineage and a data catalogue. It can quickly navigate through complex data landscapes. Access the most comprehensive automated data lineage and discovery system. This gives you unprecedented visibility and trust in the most complex data environments. Octopai extracts metadata from all data environments. Octopai can instantly analyze metadata in a fast, secure, and easy process. Octopai gives you access to data lineage, data discovery, and a data catalogue, all from one central platform. In seconds, trace any data from end to end through your entire data landscape. Find the data you need automatically from any place in your data landscape. A self-creating, self updating data catalog will help you create consistency across your company.

Anzo is a modern data integration and discovery platform that allows anyone to find, connect, and blend enterprise data into analytics-ready datasets. Anzo's unique use semantics and graph models makes it possible for anyone in your company - from data scientists to novice business users to drive data discovery and integration and create their own analytics-ready data sets. Anzo's graph models give business users a visual map of enterprise data that is easy for them to understand and navigate, regardless of how complex, siloed, or large their data may be. Semantics adds business content to data. It allows users to harmonize data using shared definitions and create blended, business-ready data upon demand.

No more data catalog ghost cities. Acryl Cloud accelerates time-to-value for data producers through Shift Left practices and an intuitive user interface for data consumers. Continuously detect data-quality incidents in real time, automate anomaly detecting to prevent breakdowns, and drive quick resolution when they occur. Acryl Cloud supports both pull-based and push-based metadata ingestion to ensure information is reliable, current, and definitive. Data should be operational. Automated Metadata Tests can be used to uncover new insights and areas for improvement. They go beyond simple visibility. Reduce confusion and speed up resolution with clear asset ownership and automatic detection. Streamlined alerts and time-based traceability are also available.

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.

erwin Data Intelligence, or erwin DI, combines data literacy and data catalog capabilities to provide greater awareness and access to data assets, guidance on how to use them, and guardrails to ensure that data policies and best practice are followed. Automatically extract, transform, and feed metadata from a variety of data sources, operational process, and data models into one central catalog. It is then made accessible and understandable through role-based, contextual views. This allows stakeholders to make strategic decisions based upon accurate insights. erwin DI supports enterprise information governance, digital transformation, and any other effort that relies upon data to achieve positive outcomes. You can schedule ongoing scans of metadata from a wide range of data sources. You can easily map data elements from source and target, including data moving, and harmonize data integration across platforms. Data consumers can easily identify and find data that is relevant to their roles.

IBM InfoSphere®, Information Governance Catalog is a web-based application that allows you to search, understand, and analyze information. You can create, manage, share, and even enact policies and guidelines, as well as track data lineage. Combine with IBM Watson®, Knowledge Catalog to make use of existing curated data sets, and extend your investment in the Information Governance Catalog on-premises to the cloud. A knowledge catalog lets you put your collected metadata in the hands of knowledge workers, so that data science and analytics communities have easy access to the best assets for their purposes while still adhering with enterprise governance requirements. It provides a common language and vocabulary that allows for a deeper understanding of all data assets, whether they are structured, semi-structured, or unstructured. Documents governance policies and enacts rules that help you determine how information should be stored, transformed, and moved.

Automatically index warehouses, lakes and dashboards. Metaphor allows you to show your most trusted data to your users when combined with lineage, utilization, and other social popularity indicators. Open 360-degree views of your data are available to all employees. This allows for data conversations and data sharing. Meet your customers at their location - share artifacts and documentation natively via Slack. Tag your conversations in Slack and associate them with data. Collaboration across silos is possible through the organic discovery and use of key terms and patterns. You can easily discover data from the entire stack and write technical details. This wiki is easy to use by non-technical users. Slack allows you to support your users and the catalog can be used as a Data Enablement Tool to quickly onboard users.

This is the essential tool for metadata management. In just 5 minutes, automatically populate your entire catalogue! Data Discovery. Data Discovery. Find the data you need from any part of your data ecosystem, starting with the database and ending with the specific values for each field. Automated documentation of your data from existing data storage. First-class support for unstructured and tabular data. Automated data governance actions. Data Lineage. Data Lineage. Explore your data lineage to understand where your data is coming from and where it is headed. View the impact analysis of changes. See all up- and downstream impacts. Visualize connections and relationships. API AccessNew. Tree Schema API allows you to manage your data lineage in code and keep your catalog current. Integrate Data Lineage in CICD pipelines Capture values & description within your code Analyze the impact of breaking changes. Data Dictionary. Know the key terms and lingo which drive your business. Define the context and scope of keywords

SAS Data Management allows you to access your data regardless of where it is stored. You can create data management rules once and then reuse them. This gives you a consistent, repeatable way to improve and integrate data without extra cost. It's easy to get involved in tasks that are not your normal duties as an IT expert. SAS Data Management allows your business users to update data and tweak processes, as well as analyze results. This frees you up to work on other projects. A built-in business glossary, along with SAS and third-party metadata management, and lineage visualization capabilities, keeps everyone on the same page. SAS Data Management technology is fully integrated. This means that you don't have to use a solution that has been thrown together. All components of SAS Data Management technology, from data quality to federation technology, are part and parcel of the same architecture.

With SAP PowerDesigner software, you can create a blueprint of your enterprise architecture and visualize the impact on change. You can instantly capture your requirements and architecture layers, tap into a powerful repository of metadata, and share your discoveries with your team using capabilities like data modeling, link-and-sync, and metadata management. Link-and-sync technology allows you to create tight connections between your company’s unique requirements, data models, and language. A secure metadata repository supports all types of modeling and allows developers to exchange information with enterprise architects. A flexible, wizard-driven system that allows for Web-based reporting and documentation can simplify the lives of your IT staff and users.

Kylo is an enterprise-ready open-source data lake management platform platform for self-service data ingestion and data preparation. It integrates metadata management, governance, security, and best practices based on Think Big's 150+ big-data implementation projects. Self-service data ingest that includes data validation, data cleansing, and automatic profiling. Visual sql and an interactive transformation through a simple user interface allow you to manage data. Search and explore data and metadata. View lineage and profile statistics. Monitor the health of feeds, services, and data lakes. Track SLAs and troubleshoot performance. To enable user self-service, create batch or streaming pipeline templates in Apache NiFi. While organizations can spend a lot of engineering effort to move data into Hadoop, they often struggle with data governance and data quality. Kylo simplifies data ingest and shifts it to data owners via a simple, guided UI.

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.

The Alex Platform is your company's single source for data and business truth. Alex is the foundation of our customers' data-driven success. Alex is designed to reduce complexity and create value from the first day of implementation. Alex Augmented Data Catalog uses the best machine learning in the industry to quickly provide an enterprise-wide, unified data platform. Alex Data Lineage can help you understand and map your data flows, no matter how complex or complicated your technical landscape. Global teams require global coordination. The Alex Intelligent Business Glossary's beautiful interface and rich functionality are ideal for global collaboration. Unifying all definitions, policies and metrics to reduce complexity in multi-cloud environments and global enterprises will help you to manage the complexity. Global data governance programs can be powered.

DataTools for Salesforce is a metrics and meta-data management tool that brings together Salesforce and data cloud professionals. DataTools for Salesforce provides context data and metadata to help you implement a modern customer data cloud. Our Salesforce dictionary utility was designed specifically for robust reporting and insightful analyses. You can categorize and pinpoint key fields while highlighting essential metrics in order to maximize the utility your meta-data. Color schemes make it easy to see the connections between Salesforce objects. Structure and interact with your Salesforce entity relation diagram. Create your Salesforce entity relationship diagram by selecting the relevant objects in your dictionary. Our Salesforce data migration tool was designed to streamline project and process management.

Smartlogic's Semantic AI platform Semaphore uncovers qualified contextual data using an integrated platform that identifies enterprise information. It has the capabilities to create and manage active metadata, semantic metadata, and information extraction. Semaphore is a platform for cognitive applications, such as intelligent contextual search, enriched processing automation, relevant recommendation engines and customer experience. It also supports regulatory compliance, contract management, information security, and contract lifecycle management. Boost customer experience, operational efficiency, risk management, and marketing effectiveness. To streamline support and provide the right information at the right moment, connect your organization's language with your customer's. Reduce costs, close the compliance gap and enforce best practices in governance.

SAP Information Steward software allows for data profiling, monitoring, and information policy management. It is the information governance layer of SAP Business Technology Platform and can help you to anticipate risk and achieve better business outcomes. To gain continuous insight into your enterprise's data model integrity, combine data profiling, metadata management, and data lineage. You will gain a better understanding about the data quality in your data management landscape while accessing and analysing metrics using intuitive dashboards and scorecards. Supporting analysts, data stewards, IT experts, and other professionals with consistent validation rules, guidelines, can improve enterprise information management initiatives. Data profiling and metadata management are two solutions that can help you discover, assess, define and monitor the quality of your enterprise's data assets. Run what-if analyses to forecast the savings that improved data quality could bring.

Hackolade is the pioneer for data modeling of NoSQL and multi-model databases, providing a comprehensive suite of data modeling tools for various NoSQL databases and APIs. Hackolade is the only data modeling tool for MongoDB, Neo4j, Cassandra, ArangoDB, BigQuery, Couchbase, Cosmos DB, Databricks, DocumentDB, DynamoDB, Elasticsearch, EventBridge Schema Registry, Glue Data Catalog, HBase, Hive, Firebase/Firestore, JanusGraph, MariaDB, MarkLogic, MySQL, Oracle, PostgreSQL, Redshift, ScyllaDB, Snowflake, SQL Server, Synapse, TinkerPop, YugabyteDB, etc. It also applies its visual design to Avro, JSON Schema, Parquet, Protobuf, Swagger and OpenAPI, and is rapidly adding new targets for its physical data modeling engine. The software is user-friendly and simple to use yet provides powerful visuals and graphic data modeling to smooth the onboarding of NoSQL technology. Its software tools help functional analysts, designers, architects, and DBAs involved with NoSQL technology achieve greater transparency and control, resulting in reduced development time, increased application quality, and lower execution risks across the enterprise.

Secure and manage the data lifecycle, from Edge to AI in any cloud or data centre. Operates on all major public clouds as well as the private cloud with a public experience everywhere. Integrates data management and analytics experiences across the entire data lifecycle. All environments are covered by security, compliance, migration, metadata management. Open source, extensible, and open to multiple data stores. Self-service analytics that is faster, safer, and easier to use. Self-service access to multi-function, integrated analytics on centrally managed business data. This allows for consistent experiences anywhere, whether it is in the cloud or hybrid. You can enjoy consistent data security, governance and lineage as well as deploying the cloud analytics services that business users need. This eliminates the need for shadow IT solutions.

There is a greater demand for data-driven insight and innovation than ever before. To maintain a competitive edge in today’s global enterprises, it is essential to be able to use trusted data to make informed business decisions. Despite the fact that most companies have a lot of data, business leaders often don't know how to access it. ASG Data Intelligence is the solution to data distrust. It is a metadata-driven platform which makes technical data "smarter". It provides end-to-end views and movements of data (data lineage), as well as business meanings and usage guardrails. Data value can be unleashed when it is made available, understood, and trusted by all users in your organization, including data scientists, analysts and marketers. Improved understanding of data's origins, business context and processes will help you build trust in it.

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.

Although your organization understands the value of data, and how it must be accessible to business users for maximum impact, enterprise data governance can make it difficult to trust, understand, or find that data. Data360 Govern, an enterprise data governance, metadata, and catalog management solution, gives you confidence in your data's quality, value, and trustworthiness. It automates governance tasks and stewardship tasks, helping you to answer critical questions about your data's origin, use, meaning, ownership and quality. Data360 Govern allows you to make faster decisions about data usage and management, foster collaboration across your organization, and give users the ability to get the answers they require - whenever they need them. Transparency into your company's data landscape allows you to track the most critical data that aligns with your business goals.

End-to-end DataOps built upon an agile platform that protects and improves your data assets. Arena is the leading augmented data management platform. Our active data catalog allows for self-service data enrichment to control complex data environments. You can create custom workflows to increase the reliability and accuracy of each data set. Machine-learning can be used to identify and align master assets for better data decisions. Superior security is assured with complete lineage, including detailed visualizations and masking. Data management is easy with Arena. Arena can catalog your data from any location. Our extensible connections allow for analytics across all your preferred tools. Overcome data sprawl challenges with our software. Our software is designed to drive business and analytics success, while also providing the controls and extensibility required in today's multicloud data complexity.

MetaCenter allows business and technology teams to classify and catalog an organization's information assets. Self-service questions can be asked about data assets, how data flows through the company, and how it should use. This allows organizations to reduce costs, improve agility, and reduce operational risks. Cross-referencing models can be automated by a search-based semantic layer. Faceted views of data assets can be published to specific roles. Comparable solutions offer lower costs of ownership and better ROI. Simple GUI driven customization enables rapid application customization. No programming or professional services required

The modern data workspace. All your data assets, from data tables to reports, will be instantly discoverable. The combination of powerful search algorithms and easy browsing makes it easy to find the right asset. Atlan automatically generates data quality profiles that make it easy to detect bad data. We have you covered, from automatic variable type detection and frequency distribution to missing values or outlier detection. Atlan takes the hassle out of managing and governing your data ecosystem. Atlan's bots analyze SQL query history to automatically construct data lineage. They also auto-detect PII information. This allows you to create dynamic access policies and best-in-class governance. Our Excel-like query builder allows anyone to query multiple data lakes, warehouses, and DBs. Native integrations with tools such as Tableau and Jupyter make data collaboration possible.

The Collibra Data Intelligence Cloud offers a best-in class catalog, flexible governance and continuous quality. It also has built-in privacy. A best-in-class data catalogue that supports your users includes embedded governance, privacy, and quality. You can raise the bar by ensuring that teams can quickly access, understand, and access data from all sources, including business applications and data science tools, in one central location. Your data deserves privacy. Automate, centralize and guide workflows to encourage collaboration and operationalize privacy. Collibra Data Lineage gives you the complete story about your data. Automatically map relationships between applications, systems, and reports to provide a context rich view of the enterprise. Focus on the data that you are most concerned about and make sure it is accurate, complete, and trustworthy.

Clarifai is a leading AI platform for modeling image, video, text and audio data at scale. Our platform combines computer vision, natural language processing and audio recognition as building blocks for building better, faster and stronger AI. We help enterprises and public sector organizations transform their data into actionable insights. Our technology is used across many industries including Defense, Retail, Manufacturing, Media and Entertainment, and more. We help our customers create innovative AI solutions for visual search, content moderation, aerial surveillance, visual inspection, intelligent document analysis, and more. Founded in 2013 by Matt Zeiler, Ph.D., Clarifai has been a market leader in computer vision AI since winning the top five places in image classification at the 2013 ImageNet Challenge. Clarifai is headquartered in Delaware

ThinkData Works provides a robust catalog platform for discovering, managing, and sharing data from both internal and external sources. Enrichment solutions combine partner data with your existing datasets to produce uniquely valuable assets that can be shared across your entire organization. The ThinkData Works platform and enrichment solutions make data teams more efficient, improve project outcomes, replace multiple existing tech solutions, and provide you with a competitive advantage.

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.

Fully managed and highly scalable metadata and data discovery service. New customers receive $300 in Google Cloud credits for free during the Free Trial. All customers receive up to 1 MiB business or ingested meta data storage and 1,000,000 API calls free of charge. A simple, but powerful faceted search interface allows you to pinpoint your data. Automatically sync technical metadata and create schematized tags to support business metadata. Cloud Data Loss Prevention integration allows you to automatically tag sensitive data. Access your data immediately and scale without the need to manage or set up infrastructure. With a powerful UI built with the same search technology that Gmail or API access, empower any member of the team to find and tag data. Data Catalog is fully managed so that you can easily start and scale. Cloud IAM integrations and Cloud DLP integrations allow you to enforce data security policies and ensure compliance.

To build smart applications and systems, integrate the award-winning Semantic AI platform. PoolParty automates metadata creation and makes information easily accessible for sharing, analysis, and use. PoolParty connects structured and unstructured data and connects data scattered across multiple databases. Get the latest generation of graph-based data analytics and content analytics using state-of-the art machine learning techniques. Your data can be used to your advantage. PoolParty improves the quality of your data. This leads to more accurate results from AI applications and better decision-making. Learn why the world's largest companies use Knowledge Graphs and why yours should too. Engage with experts, partners, customers, and their presentations to unlock the full potential for semantic technologies and 360-degree perspectives. Over 180 enterprise-level clients have benefited from our expertise in information management.

Neptune.ai, a platform for machine learning operations, is designed to streamline tracking, organizing and sharing of experiments, and model-building. It provides a comprehensive platform for data scientists and machine-learning engineers to log, visualise, and compare model training run, datasets and hyperparameters in real-time. Neptune.ai integrates seamlessly with popular machine-learning libraries, allowing teams to efficiently manage research and production workflows. Neptune.ai's features, which include collaboration, versioning and reproducibility of experiments, enhance productivity and help ensure that machine-learning projects are transparent and well documented throughout their lifecycle.

Manage your master data to adapt and respond faster to changes. This includes managing an application's cloud migration, managing mergers and acquisitions effects, and reconciling metadata differences between business functions and applications. Import hierarchies or lists from other applications. You can save time and not have to validate the data at entry, even if it is dirty. Validating different perspectives, known as viewpoints, can improve the quality of data in an application or business domain. Map enterprise data elements and ongoing changes across private, hybrid, and public cloud environments. With a simple shopping cart interface, create or modify existing enterprise data, relationships, or attributes.

The new world of data means that you can spend more time looking at data than you are analyzing it. Azure Data Catalog is an enterprise-wide data catalog that makes data asset discovery easy. It is a fully managed service that allows you, from analyst to data scientist, to use it to register, enrich, discover and understand data sources. You can work with data using the tool you prefer. Data Catalog allows you to find the data you need, and you can use it in any tool you choose. Data Catalog ensures that your data is always available. It makes it easy to find and use the data you need, and provides an intuitive user interface. Increase adoption and continuous value generation across your data ecosystem. Data Catalog provides tips, tricks, as well as unwritten rules that can be used to create an environment where everyone can benefit. Data Catalog makes it possible for everyone to contribute. Democratize data asset discovery.

Inquiring is the most popular platform for strategic enterprise planning. It allows large organizations to do more with their data and make it even better. The IQ platform provides total integration, unparalleled insight, and maximum impact for modern enterprises. It includes a powerful suite of strategic planning tools as well as industry-leading metadata management. InQuisient's patented platform offers unparalleled data management capabilities, and it delivers it all through your existing knowledge workers. You can either create a completely customized database solution from scratch or use a powerful suite out-of-the box tools. Or, you can do both. An intuitive web browser interface allows you to quickly and securely deliver the power of your data into your organization. You can plan, change, transform, and manage smarter and more efficiently with InQuisient's web browser interface. InQuisient's powerful PPM tools and platform will show you why IQ is the trusted solution for enterprises.

SOLIXCloud CDP delivers cloud data management as-a-service for modern data-driven enterprises. SOLIXCloud CDP is a cloud-native opensource platform that helps companies manage all their structured, semi-structured, and unstructured data. This allows for advanced analytics, compliance, infrastructure optimization, and data security. SOLIXCloud CDP features include Solix Connect for data input, Solix Data Governance and Solix Metadata Management. This cloud-based data management framework allows you to create and run data-driven apps such as SQL data warehouse, machine intelligence, and artifitial insight. It also meets the ever-growing data management requirements such as complex data retention, consumer data privacy, and data regulation.

Aim logs your AI metadata (experiments and prompts) enables a UI for comparison & observation, and SDK for programmatic querying. Aim is a self-hosted, open-source AI Metadata tracking tool that can handle 100,000s tracked metadata sequences. The two most famous AI metadata applications include experiment tracking and prompting engineering. Aim offers a beautiful and performant UI for exploring, comparing and exploring training runs and prompt sessions.

In just 15 minutes, you can set up your automated data catalogue and receive column-level lines, Entity Relationship diagrams, and auto-populated documentation in 24 hours. You can easily tag, find, and add documentation to data so everyone can find the right one for them. Select Star automatically detects your column-level data lineage and displays it. Now you can trust the data by knowing where it came. Select Star automatically displays how your company uses data. This allows you to identify relevant data fields without having to ask anyone else. Select Star ensures that your data is protected with AICPA SOC2 Security, Confidentiality and Availability standards.

data.world is a fully managed cloud service that was built for modern data architectures. We handle all updates, migrations, maintenance. It is easy to set up with our large and growing network of pre-built integrations, including all the major cloud data warehouses. Your team must solve real business problems and not struggle with complicated data software when time-to value is important. data.world makes it simple for everyone, not just the "data people", to get clear, precise, and fast answers to any business question. Our cloud-native data catalog maps siloed, distributed data to consistent business concepts, creating an unified body of knowledge that anyone can understand, use, and find. Data.world is the home of the largest open data community in the world. It is where people come together to work on everything, from data journalism to social bot detection.

Global IDs offers a variety of Enterprise Data Solutions, including data governance, cloud migration, compliance, privacy, analytics, and rationalization. Global IDs EDA Platform features include automated discovery and profiling as well as data classification, data lineage and data quality. These functions make data transparent, trustworthy, and easily understandable for all members of the ecosystem. Global IDs EDA platform architecture was designed to integrate from the ground up, with all platform functionality available via APIs. Global IDs EDA platform automates data administration for enterprises of all sizes and data ecosystems.

Data Lake Governance Center (DGC) is a one-stop platform for managing data design, development and integration. It simplifies big data operations and builds intelligent knowledge libraries. A simple visual interface allows you to build an enterprise-class platform for data lake governance. Streamline your data lifecycle, use metrics and analytics, and ensure good corporate governance. Get real-time alerts and help to define and monitor data standards. To create data lakes faster, you can easily set up data models, data integrations, and cleaning rules to facilitate the discovery of reliable data sources. Maximize data's business value. DGC can be used to create end-to-end data operations solutions for smart government, smart taxation and smart campus. Gain new insights into sensitive data across your entire organization. DGC allows companies to define business categories, classifications, terms.

Most organizations don’t know where and how much information is in their documents. This includes sensitive and regulated information like PII and PCI. Many of the content is not stored in managed systems. Instead, it relies on manual enforcement of governance procedures and policies by individuals. This increases legal and regulatory risk. It is crucial to understand what content exists, where it is, and what actions are required in light of increased regulations, litigation, and internal audits. OpenText™, File Intelligence, a file analysis tool, is quick to deploy and easy to use. It provides robust functionality for enterprises to catalog unmanaged sources (e.g., email, file shares, etc.). Support decision making for the proper management of valuable and critical content by identifying and analysing content files.