Best Metadata Management Software for Amazon Web Services (AWS)

Find and compare the best Metadata Management software for Amazon Web Services (AWS) in 2025

Use the comparison tool below to compare the top Metadata Management software for Amazon Web Services (AWS) on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.

  • 1
    Ataccama ONE Reviews
    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.
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    data.world Reviews

    data.world

    data.world

    $12 per month
    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.
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    erwin Data Intelligence Reviews
    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.
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    DataOps.live Reviews
    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.
  • 5
    Inferyx Reviews
    Our intelligent data and analytics platform will help you scale faster by overcoming application silos, cost overruns, and skill obsolescence. A platform that is intelligently designed to perform advanced analytics and data management. Scales across all technology landscapes. Our architecture understands the data flow and transformations throughout its entire lifecycle. Developing future-proof enterprise AI apps. A highly extensible and modular platform that allows the handling of multiple components. Scalable architecture with multi-tenant design. Advanced data visualization makes it easy to analyze complex data structures. This results in enhanced enterprise AI apps in a low-code, intuitive platform. Our hybrid multi-cloud platform was built using community open source software, making it highly adaptable, secure, and low-cost.
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    Informatica Enterprise Data Catalog Reviews
    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.
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    Kylo Reviews
    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.
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    Apache Atlas Reviews

    Apache Atlas

    Apache Software Foundation

    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.
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    Talend Data Catalog Reviews
    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.
  • 10
    Zaloni Arena Reviews
    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.
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    SOLIXCloud CDP Reviews
    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.
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    Abstracta Reviews
    Data abstraction from any data source available at your fingertips without the need for deployment. Everything is managed online and there is no need to be present at the data source. Abstracta allows you to unify all data sources. Abstracta simplifies and streamlines interactions with data sources. Our service builder feature allows you to restate data as a service. With self-service capabilities, empower business users to conduct data analysis on-the-fly. You can accelerate data security initiatives faster than you could have imagined. Our innovative profiling tags make data authorization easy. Protect data with row- and column-level access control policies. Businesses can monitor and protect data access patterns. Our innovative flagship product Abstracta™ will make data governance initiatives a success. Protect your business from external and internal security threats. Ekahaa believes that simplicity and scale are key to 10X growth. Any data can be made available as a service with Ekahaa's fluid UI design in just 2 minutes.
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    Metaphor Reviews
    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.
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