What is Octopai?

Active Metadata Management and Data Lineage

Octopai is a comprehensive active metadata management platform designed to navigate complex data landscapes. This platform automates data lineage, discovery, and cataloging, providing users with an extensive understanding of their data ecosystem. Octopai covers the entire data ecosystem, including on-premises and cloud-based systems, and it integrates seamlessly with various ETLs, databases, analysis, and reporting tools.

Metadata, often described as 'data about data,' is information that defines various aspects of data, making it easier for data teams to understand and use it effectively. Active metadata management is a dynamic process that keeps metadata up-to-date and readily accessible for various data operations.

The key capabilities of Octopai can be summarized as follows:

1. Automated Data Lineage: Octopai provides detailed and comprehensive data lineage, showing how data moves and transforms across various systems. This cross-system, intra-system, and end-to-end column lineage helps data teams understand the entire journey of their data.

2. Automated Discovery: Octopai uses machine learning to analyze metadata from data systems, enabling automatic discovery of data sources and their relationships.

3. Knowledge Hub: It creates an automatic catalog that is continuously updated, providing an organized view of all data assets.

4. Ease of Setup and Use: The platform can be set up in less than 24 hours, without the need for professional services. The setup process involves downloading the Octopai client, extracting the metadata, and uploading the metadata files to a secured environment. The platform is not directly connected to the user's environment, ensuring data security.

5. Automatic Metadata Collection: Octopai automates the metadata collection process. The platform runs according to a schedule set by the user, creating metadata files, encrypting them, and uploading them to a secure vault. It continuously checks for new information and updates the metadata repository accordingly.

6. Scalability and Flexibility: Octopai is designed to be scalable, with an elastic pricing model based on the number of source systems. It's also flexible, allowing organizations to focus on interpreting the data rather than maintaining it.

The value of Octopai lies in its ability to provide visibility and trust in complex data environments. It can drastically reduce the time spent on tracking, finding, and understanding data, which can otherwise consume a significant portion of data teams' time. By automating these tasks, Octopai allows data teams to manage their data more quickly, easily, and accurately, and to focus more on deriving insights from the data