PgConf.Russia 2016

Greenplum is a PostgreSQL fork, optimized for Analytics and Data Warehouse use cases. Pivotal announced in early 2015 that a number of products will go Open Source, one of them is Greenplum Database. This talk provides an overview over the history of Greenplum, the entire process of bringing the product into Open Source, all the stumbling blocks we ran into, and explains how contributors can participate.

CitusDB is an extension for PostgreSQL that can distribute tables across a cluster of PostgreSQL servers. Data is stored in shards that can use append-partitioning for bulk-loading of time series data or hash-partitioning for real-time data ingestion. SELECT queries on distributed tables are transparently parallelised across the cluster, using all available cores. Distributed tables can also be joined in parallel, even if they are not partitioned along the same column. CitusDB is especially suitable for real-time analytics use-cases such as dashboards which require fast analytical queries over live data, and can simultaneously act as a scalable operational database. This talk will describe the internals of CitusDB and give a live demo of a large-scale CitusDB cluster.

The talk is about PostgreSQL clusters using streaming replication and pgpool-II, which are quite popular in Japan. Plus, the next version of pgpool-II will be released this winter, so the talk will be about what's new in the version.

In late 2006, the 1C company has implemented to work 1C:Enterprise platform with DBMS PostgreSQL, which can operate under the operating systems Windows or Linux. The talks will attempt to summarize the experience of sharing the platform 1C:Enterprise with PostgreSQL database since 2008. Consideration will be given a few success stories, technical features of the work are examples of specific tasks, offers advice on selecting and cons. The talk may be of interest to employees of companies considering the option of using PostgreSQL for the 1C:Enterprise, DBA, professionals interested in the possibility of extensibility PostgreSQL.