2024年开源大数据行业发展洞察报告

Group 1: Development Background of Open Source Big Data Tools - The application breadth and depth of big data technology continue to expand, becoming a crucial factor in determining enterprise competitiveness [3] - Over the past decade, big data technology has evolved and matured, expanding its applications across major industries such as healthcare, retail, financial services, manufacturing, telecommunications, energy, and public services [3][4] - In the digital age, data has become a core asset for enterprises, and big data technology is essential for developing, utilizing, and empowering this asset [3] Group 2: Trends in Open Source Big Data Tools - Traditional big data tools have matured under the open-source trend, while new personalized tools are continuously being introduced [5] - The open-source ecosystem includes a wide range of big data tools, which can be categorized into various layers and modules, essential for building a comprehensive big data platform [8] - The evolution of big data tools reflects the changing demands and complexities of data workflows, with a focus on automation and real-time processing [16] Group 3: Heat Map Trends of Big Data Tools - The heat map trends indicate that data storage tools have evolved to accommodate diverse data types, with significant growth in binary storage, columnar storage, and cloud-native data formats [10] - Big data frameworks have iterated in response to increasing data volumes and processing speed requirements, integrating model development components as the industry enters the era of large models [11] - The variety of databases has expanded to support cloud-native, large model development, and real-time analysis, with notable examples including non-relational databases and cloud-native databases [12][13] Group 4: Cloud Vendor Support for Open Source Big Data Tools - The coverage of infrastructure, cloud computing costs and efficiency, and open-source support services are key factors influencing customer choices when building big data platforms [27] - AWS stands out for its broad infrastructure coverage, deep cloud computing optimization, and rich ecosystem of open-source support services, making it a preferred choice for big data cloud platforms [27][28]