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#1
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#2
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describes the shortcomings of an OODBMS which they selected some years ago |
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The alternative looks as if it has to be relational (or at least object-relational, such as Postgres). |
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It seems to me that within a decade, the OODBMS has moved from being the technology of the future, to being the technology of the past. |
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Rather a pity, I feel. |
#3
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describes the shortcomings of an OODBMS which they selected some years ago Hmm, most of them got nothing to do with RDBMS vs OODMS I think. I wonder if scientific data isn't in a league of it's own. |
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It seems to me that within a decade, the OODBMS has moved from being the technology of the future, to being the technology of the past. It seems so, yes. |
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Rather a pity, I feel. yep |
#4
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Pity? Good riddance. Apparently, you have not bothered to educate yourselves even yet. |
#5
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The lack of declarative query language, OQL, SQL, or whatever, has disappointed developers for the last decade. |
#6
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Well I'm trying (but I'm not a computer person, merely a poor scientist hoping to get guidance on suitable technology). By the way, if the OODBMS is such out-of-date technology, I wonder why you still bother to read its newsgroups. |

#7
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A recent paper by Jim Gray and colleages from Johns Hopkins University http://research.microsoft.com/~gray/..._OO_to_SQL.pdf describes the shortcomings of an OODBMS which they selected some years ago to process data from the Sloan Digital Sky Survey, and how they were eventually forced to migrate to a relational DBMS (and chose Microsoft SQL Server). The OO system they used is, rather tactfully, not named, but can be discovered from other sources, for example: http://adass.org/adass/proceedings/adass02/O7-3/ A project that I was involved in chose the O2 product some years ago for similar reasons, but we are now trying to find an alterative, since after many corporate take-overs, it is now a "mature product" and not being actively developed or marketed. The alternative looks as if it has to be relational (or at least object-relational, such as Postgres). It seems to me that within a decade, the OODBMS has moved from being the technology of the future, to being the technology of the past. Rather a pity, I feel. |
#8
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Again a paper, sponsored by microsoft, which shows the obvious superiority of microsoft products. /irony |
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German Kartaster Amt in Bonn, (communal registration of gps coordinates for traffic signs, borders, buildings....) has a 480 mio entry database, in which one can hunt for all entries within a radius of 100 meter...postgresql has special features built in to search such things. Computing time is not measurable, such complex sql statements, like shown in the microsoft PDF unneccessary. |
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congrats, microsoft, again you have shown, that MS SQL Server is well suited even for multi terabyte applications. /irony |
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But still unable to solve such problems like collisions between simple selects and transactions at base level, dirty entries at UNCOMMTTED ISOLATION LEVEL, online backup without getting incoinsistent. How did you backup this terabyte volume ? Veritas OpenFile Backup ? Online Backup possible ? |
#9
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Guido, I added <irony> tags to point out my understanding of your posting, please correct me where I am wrong. Guido Stepken wrote: irony Again a paper, sponsored by microsoft, which shows the obvious superiority of microsoft products. /irony German Kartaster Amt in Bonn, (communal registration of gps coordinates for traffic signs, borders, buildings....) has a 480 mio entry database, in which one can hunt for all entries within a radius of 100 meter...postgresql has special features built in to search such things. Computing time is not measurable, such complex sql statements, like shown in the microsoft PDF unneccessary. You say that at the Katasteramt in Bonn a system was built with postgres (an open source RDBMS) that benefits from a proprietary spatial extension holding 480 million entries. The complexity (and probably the poor performance) of SQL used in the OP's PDF is not necessary. Am I correct so far? irony congrats, microsoft, again you have shown, that MS SQL Server is well suited even for multi terabyte applications. /irony But still unable to solve such problems like collisions between simple selects and transactions at base level, dirty entries at UNCOMMTTED ISOLATION LEVEL, online backup without getting incoinsistent. How did you backup this terabyte volume ? Veritas OpenFile Backup ? Online Backup possible ? What is the problem here? - (performant?) select upon 480 million records? - online backup of a multi-TB system? - READ UNCOMMITTED and dirty reads? (what's wrong with that?) Can you elobarate/clarify a bit on the points you made? Cheers Gerd |
#10
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A recent paper by Jim Gray and colleages from Johns Hopkins University http://research.microsoft.com/~gray/..._OO_to_SQL.pdf describes the shortcomings of an OODBMS which they selected some years ago to process data from the Sloan Digital Sky Survey, and how they were eventually forced to migrate to a relational DBMS (and chose Microsoft SQL Server). The OO system they used is, rather tactfully, not named, but can be discovered from other sources, for example: http://adass.org/adass/proceedings/adass02/O7-3/ A project that I was involved in chose the O2 product some years ago for similar reasons, but we are now trying to find an alterative, since after many corporate take-overs, it is now a "mature product" and not being actively developed or marketed. The alternative looks as if it has to be relational (or at least object-relational, such as Postgres). It seems to me that within a decade, the OODBMS has moved from being the technology of the future, to being the technology of the past. Rather a pity, I feel. -- Clive Page, University of Leicester, UK. |
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