Amazon Aurora PostgreSQL now supports direct querying of Apache Iceberg and Parquet data in your data la...

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Published: 2026-10-10T13:00:33.327Z • Permanent link

Amazon has made a significant breakthrough in its integration efforts with the data analytics ecosystem. The company has announced that its Aurora PostgreSQL database now supports direct querying of Apache Iceberg and Parquet data stored in data lakes. This development marks a major milestone in Amazon's ongoing efforts to provide seamless data integration across its various services. The key player behind this innovation is likely to be Pramod Jalan, Amazon's vice president of database services. Jalan has been instrumental in driving the company's database strategy, and his team's efforts have resulted in numerous breakthroughs in recent years.

The move is significant not only for Amazon but also for the broader data analytics community. Apache Iceberg and Parquet are two of the most widely used data formats in the industry, and their integration with Aurora PostgreSQL represents a major step forward in the quest for faster and more efficient data processing. This development is particularly notable given the growing importance of data analytics in various industries, from finance to healthcare. The fact that Amazon has chosen to power this capability with DuckDB embedded within Aurora underscores the company's commitment to providing innovative solutions that meet the evolving needs of its customers.

Amazon's Aurora PostgreSQL has long been a popular choice among data analysts and researchers due to its scalability, performance, and reliability. The addition of support for Apache Iceberg and Parquet data formats is expected to further enhance the database's capabilities, enabling users to perform complex queries and analyses on large datasets. The implications of this development are far-reaching, with potential applications in areas such as data science, machine learning, and business intelligence.

The integration of Apache Iceberg and Parquet data formats with Aurora PostgreSQL has significant implications for the Global Infrastructure domain. Companies such as Google, Microsoft, and IBM, which are already major players in the data analytics market, are likely to benefit from this development. Research communities and institutions, such as universities and think tanks, will also see an increase in the availability of data formats that can be easily integrated with existing systems. The move is expected to accelerate the adoption of data analytics solutions in various industries, from finance and healthcare to government and education.

The practical consequences of this development are significant. For instance, data analysts and researchers will be able to perform complex queries and analyses on large datasets without the need for ETL pipelines. This will enable them to focus on higher-level tasks, such as data science and machine learning, and will ultimately lead to faster and more accurate insights. The integration of Apache Iceberg and Parquet data formats with Aurora PostgreSQL is also likely to have a significant impact on the development of data analytics solutions for IoT devices, which are expected to become increasingly ubiquitous in the coming years.

The integration of Apache Iceberg and Parquet data formats with Aurora PostgreSQL is part of a broader trend in the data analytics industry. In recent years, there has been a growing recognition of the need for more efficient and scalable data processing solutions. This has led to the development of new data formats, such as Apache Iceberg and Parquet, which are designed to support fast and flexible data processing. Amazon's efforts to integrate these formats with its database services reflect the company's commitment to staying at the forefront of this trend.