Apache Hadoop 3.4.1
The latest stable release of Apache Hadoop is version 3.4.1, which was made available on October 18, 2024. Key highlights include:
- Lean Binary Distribution
A new “lean” tarball variant has been introduced, which excludes the AWS SDK v2 bundle. This significantly reduces the file size—by up to 50%—making it easier for Hadoop Developers to deploy lightweight Hadoop instances, especially when AWS integration is not required. - S3A Improvements
For Hadoop Developers working with Amazon S3, version 3.4.1 finalizes the AWS SDK v2 migration and introduces support for Amazon S3 Express One Zone. This boosts performance and offers new cost-saving storage options. Note: S3 Select is no longer supported, simplifying the data access model. - ABFS (Azure Blob File System) Enhancements
Hadoop Developers integrating Hadoop with Microsoft Azure can now use Shared Access Signature (SAS) tokens for authentication. This enhancement adds more flexibility and security when accessing Azure storage resources via the ABFS connector.
Hadoop Ranks Among Top 3 in Big Data
As of 2025, Apache Hadoop holds a significant position in the big data analytics market with a 13.31% market share. This places it third among leading platforms, following Databricks at 15.37% and Azure Databricks at 14.84%.
Apache Hadoop’s enduring presence in the market is attributed to its robust open-source framework, which facilitates distributed storage and processing of large datasets. Its adaptability and scalability make it a preferred choice for enterprises aiming to manage vast amounts of data efficiently.
Thanks to its flexibility, robust community support, and proven ability to handle complex data workflows, Hadoop remains a top choice for businesses worldwide. By choosing to hire Hadoop developers from Nestack, organizations ensure they have the expertise needed to implement efficient, scalable big data architectures that support long-term growth and analytics-driven decision-making.
Upcoming big data and analytics events
- Data + AI Summit 2025
Dates: June 9–12, 2025
Location: San Francisco, CA & Virtual
Overview: Hosted by Databricks, this is one of the largest global gatherings for data professionals. Topics include Apache Spark, Delta Lake, MLflow and more. Hadoop developers can benefit from over 700 sessions, expert keynotes, and hands-on training designed to enhance skills and explore the future of data and AI. - Big Data Conference Europe 2025
Dates: November 19–22, 2025
Location: Vilnius, Lithuania
Overview: A four-day event focused on deep technical discussions in big data, high load systems, data science, machine learning, and AI. For Hadoop developers, this is a must-attend event to stay updated on best practices, tools, and infrastructure trends shaping modern data engineering. - Data Summit 2025
Dates: May 13–15, 2025
Location: Boston, MA, USA
Overview: This summit delivers practical guidance and expert insights into data management and analytics. With dedicated tracks like the AI & Machine Learning Summit, Generative AI Boot Camp and Data Engineer Boot Camp, Hadoop developers can sharpen their knowledge and explore emerging trends in scalable data systems. - Big Data & AI World – UK
Dates: March 12–13, 2025
Location: London, UK
Overview: One of the UK’s leading events for big data and AI innovation, it provides a valuable platform for Hadoop developers and data professionals to learn about the latest advancements in analytics, data platforms and automation technologies.