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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

  • Latest news and updates from the PostgreSQL global community

  • Monitoring, high availability, and security

  • Streamlined migration from Oracle, Microsoft SQL Server, and other systems

  • Query optimization

  • Scalability, sharding and partitioning

  • AI applications in DBMS

  • PostgreSQL compatibility with other software

  • more than
    0 participants
  • 0 speakers
  • 0
    minutes of conversation
  • 63 talks
  • hybrid
    format

Talks

Talks archive

PGConf.Russia 2025
  • Ekaterina Sokolova
    Ekaterina Sokolova PostgresPro

    So much has been said about PostgreSQL as the result of its program code. But Postgres is not just code. It’s the people who create it, develop it, and... leave a piece of themselves through comments.

    What stories can we uncover from the comments in PostgreSQL’s code? We’ll discover what the most popular word is, which comments have been in the code since the very first public commit, how the style of communication has evolved with the product, and how we can see the human side behind the lines of code and comments.

  • Евгений Бузюркин
    Евгений Бузюркин PostgresPro
    Дарья Барсукова
    Дарья Барсукова НГУ
    Рустам Хамидуллин
    Рустам Хамидуллин PostgresPro

    In PostgreSQL performance testing, benchmarks measure query execution time (latency). To get more reliable results, queries are executed repeatedly, generating a dataset of latency values. Performance is often assessed using standard metrics like the median or mean, but we propose a more advanced approach.

    In practice, latency distributions are often multimodal, consisting of multiple underlying distributions with distinct characteristics. In such cases, traditional statistical methods are insufficient, requiring a more detailed analysis of the dataset’s structure.

    Our work presents a tool that automatically performs statistical analysis of benchmark results, accounting for dataset-specific features. It detects multimodality, identifies the number and boundaries of dominant modes, and determines key distribution parameters—providing deeper insights into PostgreSQL performance variations.

  • Вадим Войтенко
    Вадим Войтенко

    Greenmask 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.

  • Alexey Lesovsky
    Alexey Lesovsky PostgresPro

    In 2024, Postgres Professional introduced pgpro-otel-collector, a new tool for gathering PostgreSQL telemetry data using OpenTelemetry technologies and standards.

    In this talk, I’ll explain why we chose OpenTelemetry, showcase the features of pgpro-otel-collector, and demonstrate how it helps streamline telemetry collection within a monitoring infrastructure.

All talks

Informational