Search / 17 posts tagged Vertica Systems
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Vertica finally spells out its compression claims
http://www.dbms2.com/ 2008/ 09/ 24/ vertica-finally-spells-out-its-compression-c…Omer Trajman of Vertica put up a must-read blog post spelling out detailed compression numbers, based on actual field experience (which I’d guess is from a combination of production systems and POCs): CDR - 8:1 (87%) Consumer Data - 30:1 (96%) Marketing Analytics - 20:1 (95%) Network logging - 60:1
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Database compression is heavily affected by the kind of data
http://www.dbms2.com/ 2008/ 09/ 22/ database-compression/I’ve written often of how different kinds or brands of data warehouse DBMS get very different compression figures. But I haven’t focused enough on how much compression figures can vary among different kinds of data.
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Web analytics — clickstream and network event data
http://www.dbms2.com/ 2008/ 09/ 22/ web-analytics-clickstream-network-event-data…It should surprise nobody that web analytics – and specifically clickstream data — is one of the biggest areas for high-end data warehousing. For example: I believe that both of the previously mentioned petabyte+ databases on Greenplum will feature clickstream data.
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SANs vs. DAS in MPP data warehousing
http://www.dbms2.com/ 2008/ 09/ 06/ sans-vs-das-in-mpp-data-warehousing/Generally speaking: SANs (Storage Area Networks) are pulling ahead of DAS (Direct Attached Storage). Much of the growth in storage is due to data warehousing. MPP (Massively Parallel Processing) is pulling ahead of SMP (Symmetric MultiProcessing) for high-end data warehousing.
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Dividing the data warehousing work among MPP nodes
http://www.dbms2.com/ 2008/ 09/ 05/ mpp-data-warehouse-nodes/I talk with lots of vendors of MPP data warehouse DBMS. I’ve now heard enough different approaches to MPP architecture that I think it might be interesting to contrast some of the alternatives. The base-case MPP DBMS architecture is one in which there are two kinds of nodes: A boss node, whose jobs
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Vertica’s paying customer count
http://www.dbms2.com/ 2008/ 08/ 26/ vertica-paying-customer-count/In a recent Computerworld article, Andy Ellicott of Vertica was cited as saying Vertica has 50 paying customers total. That’s very much on par with Greenplum’s figure, leaving aside any questions of deal size. (Greenplum runs a number of databases much larger than Vertica’s biggest.
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My current customer list among the data warehouse specialists
http://www.dbms2.com/ 2008/ 08/ 24/ data-warehouse-specialists/One of my favorite pages on the Monash Research website is the list of many current and a few notable past customers. (Another favorite page is the one for testimonials.) For a variety of reasons, I won’t undertake to be more precise about my current customer list than that.
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Patent nonsense in the data warehouse DBMS market
http://www.dbms2.com/ 2008/ 08/ 14/ patent-nonsense-in-the-data-warehouse-dbms-m…There are two recent patent lawsuits in the data warehouse DBMS market. In one, Sybase is suing Vertica. In another, an individual named Cary Jardin (techie founder of XPrime, a sort of predecessor company to ParAccel) is suing DATAllegro.
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Compare/constrast of Vertica, ParAccel, and Exasol
http://www.dbms2.com/ 2008/ 08/ 12/ vertica-paraccel-exasol/I talked with Exasol today – at 5:00 am! — and of course want to blog about it. For clarity, I’d like to start by comparing/contrasting the fundamental data structures at Vertica, ParAccel, and Exasol. And it feels like that should be a separate post. So here goes. Exasol, Vertica, and ParAccel all store data in columnar formats.
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Daniel Abadi and Sam Madden on column stores vs. indexed row stores
http://www.dbms2.com/ 2008/ 08/ 05/ abadi-madden-column-row/Daniel Abadi and Sam Madden — for whom I have the highest regard after our discussions regarding H-Store — wrote a blog post on Vertica’s behalf, arguing that column stores are far superior to fully-indexed row stores for not-very-selective queries.
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