Alation Data Catalog and MANTA Flow compete in the data catalog and lineage market. Alation is preferred for its integrated data search, while MANTA Flow stands out in data lineage visualization. Alation is favored for metadata and search capabilities, whereas MANTA Flow gains attention in data lineage tracking.
Features: Alation Data Catalog is known for its collaboration tools, query management, and metadata management. MANTA Flow provides detailed data lineage visualization, transparency in data transformations, and connectivity with multiple databases and BI tools.
Ease of Deployment and Customer Service: Alation Data Catalog offers a straightforward deployment model with extensive support and documentation. MANTA Flow's deployment approach supports both cloud and on-premises environments, with responsive customer support for integration challenges.
Pricing and ROI: Alation Data Catalog has competitive setup costs, delivering ROI through improved data governance and accessibility. MANTA Flow, though potentially higher in setup costs, justifies investment through advanced lineage visualization that enhances data quality and compliance.
Alation pioneered the data catalog market and is now leading its evolution into a platform for a broad range of data intelligence solutions including data search & discovery, data governance, lineage, stewardship, analytics, and digital transformation.
Thanks to its powerful Behavioral Analysis Engine, inbuilt collaboration capabilities, and open interfaces, Alation combines machine learning with human insight to successfully tackle even the most demanding challenges in data and metadata management. With Alation, analysts are empowered to search, query and collaborate on their data to achieve faster, more accurate insights.
Trusted by 400+ enterprises worldwide like Salesforce, Nasdaq, LinkedIn, Finnair, and Cisco.
Data Lineage Done Right
MANTA’s unified lineage platform maps all information flows to give you a complete overview of your data pipeline. Save money on manual labor by automating data lineage discovery; keep your data pipeline healthy by preventing data incidents; and migrate painlessly to the cloud.
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