31 March – 01 April 2025
PGConf.Russia 2025
PGConf.Russia is the largest PostgreSQL conference in Russia and the CIS. The event offers technical sessions, hands-on demos of new DBMS features, master classes, networking opportunities, and knowledge exchange with top PostgreSQL community experts. Each year, hundreds of professionals participate, including DBAs, database architects, developers, QA engineers, and IT managers.
Agenda highlights
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Latest news and updates from the PostgreSQL global community
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Monitoring, high availability, and security
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Streamlined migration from Oracle, Microsoft SQL Server, and other systems
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Query optimization
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Scalability, sharding and partitioning
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AI applications in DBMS
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PostgreSQL compatibility with other software
Talks
Talks archive
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Вадим ВойтенкоGreenmask is an open-source utility for database anonymization and synthetic data generation. A common challenge in development is creating test environments that closely resemble production. In this talk, we will explore how to use Greenmask’s features to prepare a test environment with ease.
We will discuss its architecture, database subsets, types of transformations, the reasons for integrating with the PostgreSQL driver, and porting some pg libraries. Additionally, we will explain how our technology helps businesses solve problems faster, more efficiently, and securely.
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Алексей СветличныйDozens of PostgreSQL instances have replaced a single large Oracle database. One of our key business systems was completely redesigned and rebuilt on an import-independent solution.
This talk will cover the unique challenges, architecture, issues, and operational aspects of this migration. Expect an insightful deep dive into the process!
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Александр Попов PostgresProThis talk will explore different approaches to storing files in PostgreSQL, including:
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Simple table-based storage
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Large objects with pg_largeobject
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pgpro_sfile – a large object (pgpro_bfile) storage solution
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Дмитрий ФатовMany developers often face performance issues in the systems they develop. One common solution for optimizing slow business processes is parallelization. But what do you do if the bottleneck is the data insertion into the database, which needs to maintain atomicity?
In this talk, I’ll explain how to speed up data insertion by parallelizing the process in Spring, while ensuring the atomicity of the entire operation. We'll cover batch updates in Spring and PostgreSQL, discuss why updates are heavy operations, and explore ways to speed up the process in the current tech stack. Additionally, I will present other approaches to maintaining atomicity and demonstrate their differences in benchmarks.
This will be useful for practicing engineers.
Photos
Photo archive