List of the Top 13 Metadata Management Software for MySQL in 2025

Datameer serves as the essential data solution for examining, preparing, visualizing, and organizing insights from Snowflake. It facilitates everything from analyzing unprocessed datasets to influencing strategic business choices, making it a comprehensive tool for all data-related needs.

data.world is a cloud-based platform meticulously crafted for modern data ecosystems, facilitating effortless management of updates, migrations, and ongoing maintenance. The straightforward setup process is enhanced by a growing array of pre-built integrations compatible with all leading cloud data warehouses. When quick results are paramount, teams should focus on tackling real business issues instead of wrestling with complicated data management tools. data.world streamlines the experience for all users, not just data specialists, equipping them to obtain clear, accurate, and timely responses to a wide range of business questions. Our platform boasts a cloud-native data catalog that links disparate and distributed data to familiar business concepts, creating an accessible, cohesive knowledge base for everyone. Additionally, in addition to our enterprise offerings, data.world nurtures the largest collaborative open data community worldwide, where participants work together on various projects, including social bot detection and prestigious data journalism endeavors, fostering innovation and collective learning. This vibrant environment not only promotes knowledge sharing but also empowers users to harness data in inventive and meaningful ways, ultimately driving impactful solutions across different sectors.

Discover an innovative, fully managed solution for data exploration and metadata organization that efficiently adapts to your needs. As a special offer, new customers can take advantage of $300 in free credits for Google Cloud services throughout their Free Trial. Every user is entitled to up to 1 MiB of complimentary storage for their business or ingested metadata, along with the ability to make 1 million API calls without charge. Experience the ease of locating your data through a powerful yet user-friendly faceted-search interface. The service automatically synchronizes technical metadata while creating structured tags for business-related information. Protect sensitive data effortlessly with automatic tagging, facilitated by integration with Cloud Data Loss Prevention (DLP). You can gain immediate access and scale your operations seamlessly, without the hassle of managing infrastructure. Any team member can easily discover or tag data using an intuitive interface, which uses the same advanced search technology as Gmail or through API access. With Data Catalog being completely managed, starting and expanding your usage is a breeze. Leverage Cloud IAM and Cloud DLP integrations to ensure compliance and maintain robust data security protocols, laying a strong groundwork for all your data management objectives. This service not only streamlines data processes but also fosters improved collaboration and productivity throughout your organization, empowering teams to work more effectively together.

Hackolade stands at the forefront of data modeling for NoSQL and multi-model databases, offering an extensive array of tools suitable for a wide range of NoSQL databases and APIs. As the sole data modeling solution for platforms such as 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, and others, Hackolade clearly dominates the market. Additionally, it extends its visual modeling capabilities to Avro, JSON Schema, Parquet, Protobuf, Swagger, and OpenAPI, and is continuously expanding its offerings for its physical data modeling engine. Designed with user-friendliness in mind, the software combines simplicity with powerful visualizations, facilitating the adoption of NoSQL technology for users. Its tools empower functional analysts, designers, architects, and DBAs working with NoSQL technology to achieve enhanced transparency and control, which ultimately leads to shorter development cycles, improved application quality, and diminished risks in execution throughout the organization. Furthermore, Hackolade's commitment to innovation ensures that users stay ahead in the rapidly evolving landscape of data management.

Effectively uncover, document, and manage your metadata with ease. Dataedo provides a variety of automated metadata scanners that connect with various database technologies, extracting data structures and metadata to fill your metadata repository. With just a few clicks, you can construct a detailed catalog of your data while outlining each element. Simplify table and column names using intuitive aliases, and deepen your comprehension of data assets by including user-defined descriptions and custom fields. Utilize sample data to enhance your understanding of the contents within your data assets, allowing you to better evaluate the information before use and ensure its quality. Uphold high data standards through effective data profiling methods. Promote widespread access to data knowledge throughout your organization. By enhancing data literacy and democratizing access, you empower every member of your organization to utilize data more efficiently with an easy-to-use on-premises data catalog solution. Ultimately, a well-organized data catalog plays a crucial role in nurturing data literacy, which will lead to more informed decision-making processes across all levels of your organization. This collective knowledge can drive innovation and foster a data-driven culture.

Decube is an all-encompassing platform for data management tailored to assist organizations with their needs in data observability, data cataloging, and data governance. By delivering precise, trustworthy, and prompt data, our platform empowers organizations to make more informed decisions. Our tools for data observability grant comprehensive visibility throughout the data lifecycle, simplifying the process for organizations to monitor the origin and movement of data across various systems and departments. Featuring real-time monitoring, organizations can swiftly identify data incidents, mitigating their potential disruption to business activities. The data catalog segment of our platform serves as a unified repository for all data assets, streamlining the management and governance of data access and usage within organizations. Equipped with data classification tools, organizations can effectively recognize and handle sensitive information, thereby ensuring adherence to data privacy regulations and policies. Moreover, the data governance aspect of our platform offers extensive access controls, allowing organizations to oversee data access and usage with precision. Our capabilities also enable organizations to produce detailed audit reports, monitor user activities, and substantiate compliance with regulatory standards, all while fostering a culture of accountability within the organization. Ultimately, Decube is designed to enhance data management processes and facilitate informed decision-making across the board.

Break away from the constraints of isolated applications, excessive budgets, and antiquated skill sets by utilizing our cutting-edge data and analytics platform to boost growth. This advanced platform is specifically designed for efficient data management and comprehensive analytics, enabling smooth scaling across diverse technological landscapes. Its innovative architecture is built to understand the movement and transformation of data throughout its lifecycle, which lays the groundwork for developing resilient enterprise AI applications capable of enduring future obstacles. With a highly modular and versatile design, our platform supports a wide array of components, making integration a breeze. The multi-tenant architecture is intentionally crafted to enhance scalability. Moreover, sophisticated data visualization tools streamline the analysis of complex data structures, fostering the development of enterprise AI applications in a user-friendly, low-code predictive environment. Built on a distinctive hybrid multi-cloud framework that employs open-source community software, our platform is not only adaptable and secure but also cost-efficient, making it the perfect option for organizations striving for efficiency and innovation. Additionally, this platform empowers businesses to effectively leverage their data while simultaneously promoting teamwork across departments, nurturing a culture that prioritizes data-informed decision-making for long-term success.

Ataccama offers a transformative approach to data management, significantly enhancing enterprise value. By integrating Data Governance, Data Quality, and Master Data Management into a single AI-driven framework, it operates seamlessly across both hybrid and cloud settings. This innovative solution empowers businesses and their data teams with unmatched speed and security, all while maintaining trust, security, and governance over their data assets. As a result, organizations can make informed decisions with confidence, ultimately driving better outcomes and fostering growth.

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

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

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

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

Address the challenge of neglected data catalogs with Acryl Cloud, which enhances the realization of value through Shift Left strategies tailored for data creators while providing an intuitive interface for users. This platform allows for the immediate identification of data quality concerns, automates anomaly detection to prevent future complications, and supports quick resolutions when issues do crop up. Acryl Cloud supports both push and pull methods for ingesting metadata, simplifying upkeep while ensuring the information remains trustworthy, up-to-date, and thorough. For smooth operations, data should work effortlessly. Go beyond basic visibility by utilizing automated Metadata Tests that continually uncover insights and highlight new avenues for improvement. By establishing clear asset ownership and applying automatic detection, efficient notifications, and temporal lineage for tracing the origins of issues, organizations can reduce confusion and shorten resolution times. Consequently, this leads to a more streamlined and productive data management framework, fostering a culture of continuous improvement and adaptability.