Hello everyone!
We are excited to announce that the SaaS data analytics platform, Metad Analytics Cloud, from the Metad Analytics Cloud team, is now open source! This is a significant milestone, and we take pride in our ability to collaborate with the global developer community to drive innovation in the field of data analytics.
In this article, we will introduce some basic information about Metad Analytics Cloud and how you can join our community to contribute to the development of the data analytics field.
Open Source Repository
Metad Analytics Cloud's open-source code repository can be found on GitHub. The repository contains more detailed information and documentation. We welcome you to clone, explore, contribute, and share this exciting project.
Key Features
Metad Analytics Cloud offers a range of powerful features, including but not limited to:
Multi-Data Source Support: Easily connect to various data sources, including databases such as Postgres, MySQL, MPP databases like Apache Doris, StarRocks, ClickHouse, multi-dimensional data sources such as SAP BW/BPC, SASS, and more, to gain comprehensive data insights.
Semantic Models: Transform data into easily understandable information through powerful semantic analysis, helping users quickly uncover the stories behind the data.
Story Dashboards: Create engaging dashboards to visually present data, allowing data to tell the story you want to convey.
Indicator Management: Effortlessly define, track, and manage key business metrics, ensuring that data analysis aligns closely with business goals.
AI Copilot: Utilize advanced artificial intelligence technology to automatically discover insights and trends hidden within the data.
Multi-Tenancy and Multi-Organization Support: Flexibility for different organizations and tenants, ensuring that data analysis can meet various needs.
Demo Site
You can experience these features firsthand on the Metad Analytics Cloud demo site. Please feel free to log in and explore our platform to understand how it can meet your data analysis needs. You can also browse the public dashboards on the site without logging in at https://app.mtda.cloud/public/trending.
Technology Stack
Metad Analytics Cloud is built on a powerful technology stack, including:
TypeScript: Offers strong type safety and modern language features.
Node.js / Nest.js: Used to build high-performance, scalable server-side applications.
Nx: A tool that aids in managing large codebases.
Angular: Front-end framework for building modern web applications.
RxJS: A library for handling asynchronous data streams, supporting reactive programming.
TypeORM: A robust Object-Relational Mapping (ORM) library for database management.
ECharts: A library for creating interactive data visualizations.
Java / Mondrian: Technologies and tools for handling multi-dimensional data in an OLAP engine.
Getting Started Quickly
If you want to start using Metad Analytics Cloud quickly, we provide an easy way to get started using Docker Compose. You can find the relevant documentation and examples in our repository to help you launch and run the platform right away.
Join Us
The open-sourcing of Metad Analytics Cloud is not just a code release; it's an invitation. We sincerely invite you to join our community and contribute to innovation in the field of data analytics. You can:
Star our repository to show your support for this project.
Raise feature requests or report bugs on our issue page.
Submit Pull Requests to collaborate on improving the project and driving its development.
Thank you for your attention and support! The journey of open-sourcing Metad Analytics Cloud is just beginning, and we look forward to working with you to pioneer a smarter and more powerful world of data analytics. If you have any questions or feedback, please don't hesitate to reach out to us. Let's work together to build a more intelligent and robust world of data analysis!