PAASUP DIP v1.0 is now recognized as a pilot purchase product for public institutions until June 2028. The platform delivers a public-cloud-level, modern Big Data platform and intelligent services in SaaS, specifically tailored for the internal network environment of public sector organizations.

Unlock your NVIDIA DGX Spark's full potential. Build a Private AI Cloud using NVIDIA Sync, Tailscale, and Docker scripts to deploy Ollama, ComfyUI, and TensorRT-LLM with one click.

This case study demonstrates building a real-time CDC pipeline from PostgreSQL to StarRocks using Debezium and Kafka, achieving 4,000+ rows/sec replication. With StarRocks' MPP architecture, we significantly improved analytical query performance and implemented a scalable data pipeline.

DuckDB is an embedded analytical database designed as SQLite's analytics counterpart. It enables fast analysis of large datasets locally without server setup and directly queries CSV, Parquet, and JSON files. This guide covers DuckDB's architecture, installation, and practical SQL examples.

PAASUP Stands Shoulder-to-Shoulder with Leading AI Companies, Recognized for Private AI Innovation Technology

This article introduces how to extend your Jupyter Notebook environment into a generative AI playground using Jupyter AI. From installation methods to chat interface usage, key slash (/) commands, and %%ai magic commands, we cover the essential features step by step.

Discover how to integrate diverse data sources in real-time using StarRocks Materialized Views without complex ETL. This guide covers complete pipeline implementation from data loading to visualization, featuring StarRocks and Apache Iceberg scenarios for cost reduction and high performance.

This technical blog provides a hands-on guide for deploying StarRocks distributed analytics database on Kubernetes, covering both Shared-nothing and Shared-data architectures with Helm Charts, MinIO integration, and real-world performance testing to help choose the right deployment mode.

StarRocks is an analytical database with a simple FE/BE architecture offering two modes: Shared-nothing (local storage, high performance) and Shared-data (object storage, cost-efficient). It provides excellent MPP performance and seamless horizontal scaling without external dependencies.