Hello all, Apologies for the long mail. I work for a company that is provides solutions mostly on a Java/Oracle platform. Recently we moved on of our products to PostgreSQL. The main reason was PostgreSQL's GIS capabilities and the inability of government departments (especially road/traffic) to spend a lot of money for such projects. This product is used to record details about accidents and related analysis (type of road, when/why etc) with maps. Fortunately, even in India, an accident reporting application does not have to handle many tps :). So, I can't say PostgreSQL's performance was really tested in this case. Later, I tested one screen of one of our products - load testing with Jmeter. We tried it with Oracle, DB2, PostgreSQL and Ingres, and PostgreSQL easily out-performed the rest. We tried a transaction mix with 20+ SELECTS, update, delete and a few inserts. After a really good experience with the database, I subscribed to all PostgreSQL groups (my previous experience is all-Oracle) and reading these mails, I realized that many organizations are using plan, 'not customized' PostgreSQL for databases that handle critical applications. Since there is no company trying to 'sell' PostgreSQL, many of us are not aware of such cases. Could some of you please share some info on such scenarios- where you are supporting/designing/developing databases that run into at least a few hundred GBs of data (I know, that is small by todays' standards)? I went through http://www.postgresql.org/about/casestudies/ and felt those are a bit old. I am sure PostgreSQL has matured a lot more from the days when these case studies where posted. I went through the case studies at EnterpiseDB and similar vendors too. But those are customized PostgreSQL servers. I am looking more for a 'first-hand' feedback Any feedback - a few sentences with the db size, tps, h/w necessary to support that, and acceptable down-time, type of application etc will be greatly appreciated. Our products are not of the blog/social networking type, but more of on-line reservation type where half an hour down-time can lead to significant revenue losses for customers. Thank you, Jayadevan
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