On October 24, the 2023 Tuoshupai Annual Technology Forum concluded successfully in Shanghai. Tuoshupai officially released the large model data computing system "πDataCS", which reconstructs data storage and computing based on cloud native technology, reshapes data computing engines such as data warehouse, vector and machine learning, and realizes "one data storage, multi-engine data computing" ". As the first computing engine of πDataCS, PieCloudDB Database has been upgraded again and launched a new community version.
Currently, PieCloudDB cloud-native virtual data warehouse fully supports multiple product versions of πDataCS cloud version, community version, enterprise version and all-in-one machine, and provides three deployment methods of public cloud, private cloud and bare hardware to meet the needs of enterprises in different business scenarios. And build an AI data base for users in industries such as finance, manufacturing, medical care and education.
The new version of the community version released this time is version 2.8, which will be free for users to download. The new version of the community version will support both single-machine and multi-node deployment , allowing users to quickly install and deploy according to their own scenario needs, conduct PoC, database learning, and experience data analysis, data warehouse and other scenarios.
Welcome to the community version download page piestore.openpie.com to download. No registration is required. You can log in quickly by entering your mobile phone number.
- Free download, low cost: PieCloudDB Community Edition is free to download and supports both single-machine and multi-node deployment, which greatly reduces users’ resource costs and facilitates privatized deployment experience. Complete support for SQL and full compatibility with interfaces such as JDBC/ODBC/Postgres further reduce users' learning costs and application development thresholds. Development teams of different businesses can use unified interfaces to quickly and flexibly call data, improving business development efficiency.
- Experience the breakthrough in data warehouse virtualization technology: the new version of the community edition is paired with the new core version of PieCloudDB. Users can experience PieCloudDB cloud native computing separation architecture, eMPP (elastic Massive Parallel Processing) distributed patented technology, new cloud storage base "Jianmo" and cache architecture design, and new optimizer "Daqi" architecture for free. Warehouse virtualization technology.
- Visual cloud native platform: The community version is equipped with the PieCloudDB cloud native platform. The visual interface design allows users to easily connect, experience creating virtual data warehouses and databases, use computing and data resources in the data warehouse, and manage the usage rights of each user under the data warehouse.
- Rich community resources: In line with the new version, installation and deployment documents, cloud native platform getting started documents and other materials have also been updated accordingly. Users can also scan the QR code at the bottom of this article to join the PieCloudDB technical discussion group and obtain community support. In addition, the PieCloudDB community will empower community users through rich community activities and content.
Compared with version 2.1, the new version of the community version released this time brings many new features, including but not limited to:
- Global cache system
- Recycle bin function
- Data Skipping Optimization
- Improved compression efficiency
- ...
For more version details, please visit the community version download page piestore.openpie.com.
In the future, Tuoshupai will continue to enrich and improve the PieCloudDB Community Edition product, and regularly iterate and release new versions, allowing users to experience the new features of PieCloudDB first, easily build, manage and query virtual data warehouses, and achieve efficient data analysis and insights. In addition, Tuoshupai will continue to build product ecology, community ecology and business ecology, and build a win-win ecosystem to help enterprises make better use of the advantages of cloud-native virtual data warehouses and improve the efficiency and accuracy of data analysis and decision-making. .
