Enterprise Data Workspace for Databricks

Unlock the full potential of your data by combining the power of Coginiti’s data and analytics workspace with Databricks’ unparalleled data compute capabilities. Use Coginiti for streamlined data exploration and analysis on the Lakehouse Platform, accelerating data-driven decision-making.

Collaborative analytic workspace for data analysts and data engineers

Coginiti offers a comprehensive solution for data professionals, integrating essential functionalities such as modular development, version control, feedback mechanisms, testing capabilities, and documentation tools. By leveraging these features, analysts and data engineers can improve analytic consistency, increase productivity, and expedite the delivery of valuable insights.

Built for Databricks

Securely Connect and Analyze

Effortlessly connect to your data in the Databricks Lakehouse Platform using the bundled JDBC driver. Access, analyze and visualize diverse datasets.

Unity Catalog Integration

Precisely locate specific data objects within the Databricks Lakehouse Platform. Harness Coginiti’s data browsing, search, and filtering capabilities to discover datasets shared through the Unity Catalog, including Hive metastores.

Modular Analytic Development

Leverage proven software development best practices to enhance analytical workflows. Modular development via CoginitiScript, enables users to break down complex projects into manageable and reusable components, leading to improved efficiency and flexibility.

Collaborative Versioned Teamwork

In-context comment threads enable data professionals to obtain input from stakeholders and subject matter experts, fostering a collaborative environment. Built-in version control allows teams to track changes overtime. Together, these collaborative capabilities deliver higher quality insights, promotes accountability, and provides a comprehensive audit trail.

Data Quality Framework

Testing capabilities within Coginiti provide a robust framework for validating analytical models, ensuring reliability and reducing potential errors. Data professionals gain confidence in their results and make data-driven decisions with greater certainty.

Export and Save Datasets

Leverage Coginiti’s data export tool to export data from the Databricks Lakehouse Platform. Export data in CSV, TSV, and Excel formats, save your query data as directly to a table, or use the CoginitiScript scripting language to export data to CSV or Parquet files.