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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Павел Филин YADROFor DBAs, ensuring database protection and integrity is always a top priority. Along with that comes the need to store data efficiently and compactly, without overloading the network, and ensuring reliable recovery.
In this talk, we’ll discuss a universal solution for backup and archive storage that not only offers effective deduplication but also minimizes network load. TATLIN.BACKUP is a platform for storing PostgreSQL backups or WAL archives with compression, deduplication, and minimal data transmission over the network.
TATLIN.BACKUP is a versatile solution for transferring and storing PostgreSQL archives at remote locations from a central office.
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Дмитрий ДорофеевIn this talk, I will challenge architectural stereotypes about the impossibility of communication with external systems directly from a DBMS. PostgreSQL offers vast communication capabilities; you just need to know which extensions to use.
And when extensions aren't enough, you can create your own. For the Luxms BI project, we needed communication with NATS, so we developed our own extension in Rust. I’ll share the GitHub link and my experience of developing PostgreSQL extensions in Rust during this talk.
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Евгений Бузюркин PostgresPro
Дарья Барсукова НГУ
Рустам Хамидуллин PostgresProIn 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.
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Владимир КомаровThere are many administrator consoles out there, ranging from the old-school DBeaver to the ubiquitous pgAdmin. However, we decided to create another one. Why?
In this talk, you’ll learn:
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How can a single installation manage tens of thousands of database instances.
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How many users can the console support.
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How can you inventory your infrastructure without losing your sanity.
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How do you integrate into an existing environment without starting from scratch.
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How to build a security model that earns the trust of leading banks and telecom operators.
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How can you get hands-on experience with all of this.
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Photos
Photo archive