Data lineage tools are sophisticated software designed for complete data management within the organizational context. These tools’ primary role is to systematically record and illustrate the course of data elements from their source through various stages of processing and modification, ultimately reaching the pinnacle in their consumption or storage. They can help your organization to understand and manage data. However, currently, you will find a lot of data lineage tool alternatives out there, but no worries, as AITech Park has narrowed down the best option for your company that will help you this year.
Alation
The third one on our list is Alation, which is a data catalog that helps data professionals find, understand, and govern all enterprise data in a single. The tool uses ML to index and make new data sources such as relational databases, cloud data lakes, and file systems. With Alation, data can easily be democratized, which gives quick access alongside metadata to guide compliant, intelligent data usage with vital context. However, the plan and pricing are not revealed by Alation, as it depends on the needs of your company.
Atlan
Atlan ranks fourth in our list of the best data lineage tools as it delivers outstanding capabilities in four key areas. These include data cataloging and finding, data quality and research, data lineage and governance, and data exploration and integration. Apart from these, Atlan enables users to handle data usage and adoption across the ecosystem with granular governance and access controls, no matter where the data flows.
Dremio
Lastly, we have Dremio, which is a data lake engine that delivers fast query speeds and a self-service semantic layer that works directly on data lake storage. The tools are connected with S3, ADLS, and Hadoop, making it a complete package. With collaboration with Apache Arrow, data reflection, and other Dremio technologies work wonders and further speed up queries, and the semantic layer allows IT to apply security and business implications.
Choosing the correct data lineage tool requires assessing all factors that are well aligned with your company’s data management objectives. Therefore, before opting for any tool from the above list, consider taking data from diverse sources, formats, and complexity and creating a data governance framework, policies, and roles that eventually help in making informed decisions.
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