Best Data Catalog Software for Amazon SageMaker
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Compare the Top Data Catalog Software that integrates with Amazon SageMaker as of April 2026
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This a list of Data Catalog software that integrates with Amazon SageMaker. Use the filters on the left to add additional filters for products that have integrations with Amazon SageMaker. View the products that work with Amazon SageMaker in the table below.
What is Data Catalog Software for Amazon SageMaker?
Data catalog software is a tool used to organize, manage, and provide easy access to an organization's data assets. It helps businesses create a centralized inventory of all available data, such as databases, datasets, reports, and documents, allowing users to search, classify, and understand their data assets more efficiently. Features often include metadata management, data lineage tracking, data governance, collaboration tools, and integration with data management systems. By providing a clear overview of data sources and their relationships, data catalog software facilitates data discovery, improves data quality, ensures compliance, and enhances collaboration across teams. Compare and read user reviews of the best Data Catalog software for Amazon SageMaker currently available using the table below. This list is updated regularly.
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DataHub
DataHub
A data catalog is only valuable if people actually use it—and that requires more than just technical metadata. DataHub delivers an active, collaborative catalog that teams genuinely rely on daily. Automatically discover and index data assets across your entire stack—cloud data warehouses, lakes, databases, BI tools, ML platforms, and more—with real-time updates as your environment evolves. Rich metadata includes not just technical schemas but business context: ownership, documentation, usage patterns, relationships, and quality indicators. DataHub's knowledge graph architecture reveals how data flows through your organization, making impact analysis and root cause investigation trivial. Unlike static catalogs that become outdated the moment they're published, DataHub stays current through automated metadata ingestion and encourages continuous improvement through collaborative editing. -
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Acryl Data
Acryl Data
No more data catalog ghost towns. Acryl Cloud drives fast time-to-value via Shift Left practices for data producers and an intuitive UI for data consumers. Continuously detect data quality incidents in real-time, automate anomaly detection to prevent breakages, and drive fast resolution when they do occur. Acryl Cloud supports both push-based and pull-based metadata ingestion for easy maintenance, ensuring information is trustworthy, up-to-date, and definitive. Data should be operational. Go beyond simple visibility and use automated Metadata Tests to continuously expose data insights and surface new areas for improvement. Reduce confusion and accelerate resolution with clear asset ownership, automatic detection, streamlined alerts, and time-based lineage for tracing root causes.
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