In August, PieCloudDB Database Community Edition was revamped to enhance the user experience with cutting-edge data warehouse virtualization technology. This new edition, specifically tailored for community users, introduces a streamlined, fully containerized one-command deployment solution that includes the PieCloudDB kernel and PieCloudDB Cluster Controller (PDBCC). This innovation simplifies the installation process, supports both online and offline installation options, and enables users to swiftly explore the core capabilities of PieCloudDB.
PieStore, the website for PieCloudDB Community Edition has just received a fresh new design! Come and discover the official community to learn more about the latest enhancements and features. Don't miss out on exploring the revamped PieStore!
piestore.openpie.com
The refreshed 'PieStore' now features six key modules, designed to simplify and streamline your journey into getting started with the PieCloudDB Community Edition.
Module I: Installation and Deployment
The PieCloudDB Community Edition is now available for free download and can be deployed using Docker images for a seamless setup experience. We've streamlined the installation and deployment process with concise commands that can be easily copied, allowing for effortless deployment both online and offline.
Module II: Query Experience
To help you get started quickly, we have put together a set of sample data—"Virtual E-commerce Sales Data," complete with example SQL statements. The dataset spans a range of e-commerce scenarios, including customer details, food and clothing product catalogs, and transaction records. With it, you can effortlessly dive into performing database tasks such as create database, tables, schema, and views, import and export data. Moreover, you’ll be able to tap into the robust querying capabilities of PieCloudDB, all designed to give you a hands-on feel for its power and flexibility.
Module III: Feature Exploration
Beyond the essential functions, the Community Edition offers a swift dive into advanced PieCloudDB capabilities:
- Cutting-edge Kernel Features: New storage engine JANM, multi-layer caching architecture, and SIMD execution engine; advanced kernel features such as pre-aggregation and data skipping.
- Multi-dimensional Elastic Scaling: Flexibly scale up and down on demand by adding or reducing the number of virtual data warehouses.
- Multi-tenant and Multi-cluster Architecture: PieCloudDB uses the eMPP(elastic Massively Parallel Processing) architecture, which naturally supports multi-tenant and multi-cluster, easily handling PB-level massive data.
If you want to explore more advanced features, such as Cloud Native Platform, Data Flow, Flink CDC, PieProxy, Restore and Recovery, Resource Isolation… Welcome to experience more on PieCloudDB Cloud on Cloud edition for free or contact us for the Enterprise Edition.
Module IV: Product Documentation
To streamline your management and operational efficiency, we prepared detailed product documentation in both Chinese and English. These guides walk you through the process of experiencing the cutting-edge data warehouse virtualization technology. The comprehensive content spans across critical areas including installation and deployment, managing virtual data warehouses, optimizing query performance, transaction management, concurrency control, and data import and export. For easy access, simply click the "Read the document" button on "PieStore" to get it.
Module V: Feedback and Suggestions
During the product experience, any questions, feedback, or suggestions can be submitted via a form on PieStore.
You can also join in the conversation on Stack Overflow.
Module VI: Community Support
Dive into our collection of technical blogs for more insights about PieCloudDB. You'll find features introduction, practical best practices, in-depth analysis of the latest tech trends, real-world application examples, and the latest scoop on industry news.
Learn more about Virtual Data Warehouse PieCloudDB:
- Youtube: https://www.youtube.com/@openpie
- Twitter: https://x.com/OpenPie_TSP
- Medium: https://openpie.medium.com
- LinkedIn: https://www.linkedin.com/company/openpie
