List of the Top 15 Data Catalog Software for Amazon Web Services (AWS) in 2025

Composable serves as a robust DataOps platform tailored for enterprises, empowering business users to develop data-centric products and formulate data intelligence solutions. This platform enables the creation of data-driven offerings that utilize a variety of data sources, including live streams and event data, irrespective of their format or structure. With its intuitive and user-friendly visual editor for dataflows, Composable also features built-in services to streamline data engineering tasks, in addition to a composable architecture that promotes both abstraction and integration of diverse analytical or software methodologies. As a result, it stands out as the premier integrated development environment for the exploration, management, transformation, and analysis of enterprise-level data. Moreover, its versatility ensures that teams can adapt quickly to changing data needs and leverage insights effectively.

OvalEdge serves as an affordable data catalog that facilitates comprehensive data governance and ensures compliance with privacy regulations. Additionally, it offers swift and dependable analytics capabilities. By scanning through your organization's databases, business intelligence platforms, and data lakes, OvalEdge establishes a user-friendly and intelligent inventory system. This enables analysts to efficiently locate data and derive valuable insights with ease. Moreover, the platform’s broad array of features empowers users to enhance data accessibility, promote data literacy, and elevate data quality across the organization. Ultimately, OvalEdge stands out as a vital tool for businesses seeking to optimize their data management practices.

Erwin Data Intelligence (erwin DI) combines data cataloging with data literacy initiatives to boost awareness and accessibility of data resources, while offering guidance on their proper usage and ensuring compliance with data policies and best practices. It systematically collects, converts, and assembles metadata from a wide array of data sources, business applications, operational workflows, and data models into a unified catalog. This catalog is then made available in an understandable format through role-specific, contextual views, empowering stakeholders to make strategic decisions based on trustworthy insights. Additionally, erwin DI fosters enterprise data governance and supports digital transformation efforts, as well as any projects that rely on data for optimal outcomes. The platform facilitates the scheduling of regular metadata scans from various data sources, simplifying the tracking of data elements from their origin to their final destination, including during transit, and enabling smooth data integration across multiple platforms. Moreover, it equips data consumers to discover and analyze data relevant to their specific roles, thereby enhancing data engagement within the organization. Ultimately, erwin DI acts as a robust solution for maximizing the potential and value extracted from data assets while promoting a culture of data-driven decision-making across all levels of the enterprise. This comprehensive approach ensures that organizations can fully leverage their data capabilities for sustained growth and innovation.

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

The iomete platform seamlessly integrates a robust lakehouse with a sophisticated data catalog, SQL editor, and business intelligence tools, equipping you with all the essentials required to harness the power of data and drive informed decisions. This comprehensive suite empowers organizations to enhance their data strategy effectively.

Datafi presents an all-encompassing data platform specifically designed for business teams, effectively integrating disparate data systems while prioritizing strong data security. The platform enables self-service data workflows, empowering business users to easily find, utilize, and share critical information. Organizations select Datafi to boost their data capabilities, thereby equipping a wider array of individuals to make swift, informed decisions grounded in data. With Datafi, the process of accessing any data is simplified, making it beneficial for all users involved. It clarifies the aspects of data access and usage, which is vital for organizations aiming to leverage their data for significant business outcomes. Data-centric companies understand that simplifying and securing data access is essential for unlocking new avenues for growth. By encouraging innovative uses of business data, organizations can achieve transformative results, and those that focus on enhancing data literacy are more inclined to discover insights that improve client services. Cultivating a culture that prioritizes data not only fosters an environment of continual improvement but also positions organizations strategically for future advancements. Ultimately, Datafi empowers businesses to harness their data potential fully, paving the way for sustained success.

Efficiently scan and catalog metadata to uncover and characterize data while ensuring comprehensive lineage tracking across millions of datasets. Organize and classify data assets in various environments to maximize their value and promote reuse. Conduct automated scanning in multi-cloud environments, business intelligence tools, ETL processes, and external metadata catalogs, encompassing a wide array of data types. Leverage AI-driven capabilities for domain discovery, data similarity evaluation, business term associations, and customized recommendations tailored to user needs. Monitor data movement with accuracy, from broad system overviews to detailed column-level lineage, all supported by thorough impact assessments. Utilize the Data Asset Analytics dashboard for insights into asset utilization, enrichment processes, and collaborative initiatives. Analyze data quality protocols, scorecards, metric clusters, and profiling statistics within their respective contexts. Collaborate with shared data intelligence through certifications, ratings, feedback, a Q&A feature, and timely change alerts. What sets Informatica apart is its comprehensive and powerful suite of enterprise-grade data management solutions, which provide extensive support for a variety of data requirements. This multitude of features empowers organizations to adeptly navigate their complex data landscapes, facilitating more informed decision-making and strategic planning. By harnessing such capabilities, businesses can efficiently leverage their data assets for competitive advantage.

The Databricks Data Intelligence Platform empowers every individual within your organization to effectively utilize data and artificial intelligence. Built on a lakehouse architecture, it creates a unified and transparent foundation for comprehensive data management and governance, further enhanced by a Data Intelligence Engine that identifies the unique attributes of your data. Organizations that thrive across various industries will be those that effectively harness the potential of data and AI. Spanning a wide range of functions from ETL processes to data warehousing and generative AI, Databricks simplifies and accelerates the achievement of your data and AI aspirations. By integrating generative AI with the synergistic benefits of a lakehouse, Databricks energizes a Data Intelligence Engine that understands the specific semantics of your data. This capability allows the platform to automatically optimize performance and manage infrastructure in a way that is customized to the requirements of your organization. Moreover, the Data Intelligence Engine is designed to recognize the unique terminology of your business, making the search and exploration of new data as easy as asking a question to a peer, thereby enhancing collaboration and efficiency. This progressive approach not only reshapes how organizations engage with their data but also cultivates a culture of informed decision-making and deeper insights, ultimately leading to sustained competitive advantages.

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

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

Secuvy is an innovative cloud platform that streamlines data security, privacy compliance, and governance through the use of AI-powered workflows. It ensures optimal management of unstructured data by leveraging superior data intelligence. This advanced platform provides automated data discovery, tailored subject access requests, user validations, and intricate data maps and workflows to meet privacy regulations like CCPA and GDPR. Utilizing data intelligence enables the identification of sensitive and personal information across various data repositories, whether they are in transit or stored. Our goal is to empower organizations to safeguard their reputation, automate their operations, and enhance customer trust in a rapidly evolving landscape. Furthermore, we aim to minimize human intervention, reduce costs, and decrease the likelihood of errors in the management of sensitive information, thereby promoting greater operational efficiency.

Unlock the potential of your data by fostering confidence for more impactful analysis and modeling. By breaking down barriers between information silos, you can significantly boost productivity. Instantly access insights into your data while also observing how your colleagues are utilizing it. Enjoy a seamless search experience for data within your organization using an intuitive text-based interface. The search functionality leverages an algorithm similar to PageRank, allowing for personalized recommendations based on various factors such as names, descriptions, tags, and user interactions with tables and dashboards. Build trust in your data by depending on automated, curated metadata, which offers comprehensive details about tables and columns, insights on frequent users, timestamps of the latest updates, relevant statistics, and, when allowed, previews of the data. Improve data management efficiency by establishing connections to the ETL jobs and code that create the datasets. Provide clear definitions for table and column descriptions to reduce unnecessary debates about which data to use and the meanings of individual columns. Identify which datasets are most frequently accessed, owned, or bookmarked by your peers, thereby enhancing collaboration. Furthermore, gain insights into popular queries linked to a specific table by examining dashboards created from that dataset, which enhances your analytical capabilities. Ultimately, this holistic strategy ensures that your data-driven choices are informed and anchored in trustworthy information, leading to more effective outcomes.

Amazon DataZone serves as a robust data management solution, enabling users to efficiently catalog, discover, and share data sourced from AWS, on-premises systems, and external third-party platforms. It provides administrators and data stewards with essential tools to implement precise access controls, ensuring users obtain the appropriate permissions and relevant information. By simplifying data access for professionals such as engineers, data scientists, product managers, analysts, and business users, it encourages data-driven decision-making through improved collaboration. Key features include a business data catalog that aids in searching and requesting access to published data, project collaboration tools that help manage data assets effectively, a user-friendly web portal offering customized views for data analysis, and structured workflows for data sharing that uphold necessary access levels. Furthermore, Amazon DataZone utilizes machine learning to streamline the discovery and cataloging processes, greatly improving operational efficiency. This groundbreaking service not only simplifies the management of data but also cultivates a culture of insight-driven decisions throughout organizations, ultimately leading to enhanced productivity and innovation.

The core technology driving modern data integration and management solutions is engineered to quickly connect a variety of both structured and unstructured data sources. This technology facilitates the thorough cataloging of your entire data landscape, ensuring that information stays within its original repositories and is accessed only when necessary, thus removing the need for redundant copies. Users have the ability to create data models that suit their specific requirements, even when utilizing diverse data sources, while simultaneously keeping the complexities of backend systems hidden from the end users. Access to the virtual model is securely provided through standard SQL as well as other formats like REST, SOAP, and OData, making it easier to reach a wide range of data types. It boasts comprehensive capabilities for data integration and modeling, supplemented by an Active Data Catalog that supports self-service for exploring and preparing data and metadata. In addition, this technology includes strong measures for data security and governance, ensures quick and intelligent execution of data queries, and offers real-time delivery of data in multiple formats. The solution also encourages the creation of data marketplaces and effectively separates business applications from data systems, which fosters more informed, data-driven decision-making processes. As a result, this cutting-edge approach significantly improves the agility and responsiveness of organizations in managing their data resources, allowing them to adapt swiftly to changing business needs. Ultimately, it empowers businesses to leverage their data assets more effectively than ever before.

Talend Data Catalog offers your organization a centralized management hub for all its data assets. It comes equipped with powerful features for searching, discovering, and connecting to a myriad of data sources to extract essential metadata. This solution simplifies the oversight of data pipelines, enhances data protection, and speeds up the ETL processes. By automatically crawling, profiling, and linking all metadata, it facilitates efficient data management. Furthermore, it can document up to 80% of related data autonomously. Utilizing smart relationships and machine learning, Data Catalog ensures that users have access to the most current information available. It transforms data governance into a collaborative effort by providing a unified control point that fosters teamwork to enhance data accessibility and accuracy. Moreover, the platform includes intelligent tracking of data lineage and compliance, which is crucial for maintaining data privacy and meeting regulatory requirements. Ultimately, Talend Data Catalog empowers organizations to make informed decisions based on reliable and well-governed data.