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< non-commercial database, PostgreSQL appears to be the most versatile.
< At present time PostgreSQL is being used in several well-known astronomical projects, for example in the [http://leda.univ-lyon1.fr/ HyperLEDA database] and in the [http://aps.umn.edu/ MAPS] (Minnesota Automated Plate Scanner) Catalog of the POSS1.
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> non-commercial database engines, PostgreSQL appears to be the most versatile.
> At present PostgreSQL is being used in several well-known astronomical projects, for example in the [http://leda.univ-lyon1.fr/ HyperLEDA database] and in the [http://aps.umn.edu/ MAPS] (Minnesota Automated Plate Scanner) Catalog of the POSS1.
At present PostgreSQL is being used in several well-known astronomical projects, for example in the [HyperLEDA database] and in the [MAPS] (Minnesota Automated Plate Scanner) Catalog of the POSS1.
Extensibility is the most important feature of this RDBMS - it allows to develop custom data types, queries and indexed access methods, optimized for specific tasks, without knowledge of database internals. This is very important for "non-standard" tasks, typical for scientific reaserch.
We present two backend programming modules.
We show that PostgreSQL is the most advanced database solution for astronomical applications and would be very useful for different Virtual Observatory projects.