CubeWeaver

CubeWeaver

CubeWeaver is an open-source data modeling and analytics platform used to build data warehouses and cube models. It provides an intuitive drag-and-drop interface to design star schemas, data marts, cubes, and ETL processes without coding.
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CubeWeaver: Open-Source Data Modeling & Analytics Platform

CubeWeaver is an open-source data modeling and analytics platform used to build data warehouses and cube models. It provides an intuitive drag-and-drop interface to design star schemas, data marts, cubes, and ETL processes without coding.

What is CubeWeaver?

CubeWeaver is an open-source data modeling and analytics platform used to build data warehouses and Online Analytical Processing (OLAP) cube models. It provides an intuitive drag-and-drop interface that allows business users, data analysts, and data engineers to visually design star schemas, data marts, cubes, and Extract-Transform-Load (ETL) processes without coding.

Some key features and capabilities of CubeWeaver include:

  • Graphical workflow designer to model ETL processes and data pipeline jobs
  • Visual cube designer to define dimensions, measures, hierarchies, and cube segmentation
  • Automatic SQL and script generation for implementing designs across different databases and data warehouses
  • Connectivity to relational databases like MySQL, PostgreSQL, SQL Server, and cloud data sources
  • Options to schedule, orchestrate, and monitor ETL pipelines and cube processing workflows
  • Built-in data profiling to understand data types, patterns, and relationships
  • Integration with reporting tools like Power BI, Tableau, Qlik for ad-hoc analysis
  • Collaboration capabilities to share data models across teams

CubeWeaver can help companies accelerate building their data warehouse and analytics environment. Its code-free modeling approach makes it easy for non-technical users to develop and iterate on analytical data models. The platform handles the complex backend tasks of converting conceptual models into implementation-ready artifacts.

CubeWeaver Features

Features

  1. Drag-and-drop interface for designing star schemas, cubes, dimensions, measures, and hierarchies
  2. Generates SQL code for data warehouse design
  3. Connects to various data sources like SQL Server, Oracle, MySQL, etc
  4. Performs ETL to load and transform data
  5. OLAP analysis with slicing, dicing, drill-down, pivoting, and more
  6. Visualization and reporting capabilities
  7. Collaboration features like sharing models and annotations

Pricing

  • Open Source
  • Free

Pros

Intuitive visual interface

Open source and free

Active community support

Cross-platform (Windows, Linux, Mac)

No coding required

Cons

Limited advanced analytics features compared to paid alternatives

Steep learning curve

Lacks some enterprise-level capabilities


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