![]() ![]() OpenLineage also enables you to have a more in-depth understanding of your data by offering to track both horizontal and vertical lineages for your data.Įgeria listens to Kafka events emitted by the source systems to capture data lineage information. Egeria data lineage featuresĭata lineage in Egeria utilizes the well-known open standard for capturing and storing data lineage called OpenLineage. That way, you only have to converse with one tool. Egeria stays away from that and instead works on a hub-and-spoke model where everything passes through Egeria. Many data engineering architectures involve a lot of avoidable chatter between various data tools. In addition to cataloging and searching the metadata, this standard allows you to build more advanced solutions for data lineage tracing, data quality checks, PII identification, etc. Tokern Resourcesĭubbed as the world's first open-source metadata standard, Egeria offers a way to seamlessly integrate your data engineering tools to get a reliable and consistent view of your metadata. This built-in tool utilizes a combination of regular expressions and a couple of standard NLP libraries for PII detection, such as Spacy and Stanford NER. In addition to the state-of-the-art data lineage capabilities, Tokern also offers PII (personally identifiable information) and PHI (personal health information) detection using PIICatcher. You can also use Tokern's SDKs or APIs to interact with the lineage data. These libraries help you track, visualize, and analyze column-level lineage data. Kedro-Viz, a visualization engine, and a network-graph analysis library called NetworkX are behind Tokern's fantastic visualization and analysis capabilities. You can access this database for further analysis using SQL or feed it into other visualization and analysis engines. Tokern stores the data catalog and the lineage in a PostgreSQL database. One such example is that, in addition to building data lineage from dbcat ( the data catalog), Tokern also enables you to build data lineage from your query history or ETL scripts, which makes it ideal for BI and ETL tool integration. Tokern was released not quite long ago, and it considers the latest data engineering and design patterns. Tokern has appreciable integration capabilities, as it works well with most open-source data catalogs and ETL frameworks. More sources like SparkSQL, AWS Athena, and Presto are in the works. ![]() Here are five popular open-source data lineage toolsīuilt for cloud data warehouses and data lakes, Tokern takes a specialized approach that enables you to get column-level data lineage from your databases and data warehouses hosted on Google BigQuery, AWS Redshift, and Snowflake. Take a test drive, explore and try your hands on automated data lineage Getting a consistent view of the lineage is essential to understanding and using your data more efficiently, so it is imperative to identify the right data lineage tool. These tools need to integrate with your current data stack, which might contain a range of databases, data warehouses, data lakes, ML pipelines, and BI tools to get the lineage data. To get the most value from your data, you need to keep track of its origins and lifecycle. Data, as captured from the source, isn't of much use until it goes through a series of data engineering processes like cleaning, wrangling, integration, remodeling, etc. What is a data lineage tool?ĭata lineage tools help you track your data's changes at every step. We've added some special mentions for some up-and-coming tools at the end of the article. This article lists five compelling data lineage tools after considering a range of features, integration capabilities, and ease of use. ![]()
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