Big, Fast, Time-Series in MySQL
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Yesterday, a security advisory designated CVE-2015-3456. All the IBM Cloud and SoftLayer headlines in one place.
Discussions and viewpoints concerning Cloud Databases. On November 7, 2012. ClearDB, Heroku, and Cloud Database Jurisdiction. On December 13, 2011. Open for Business, Heroku Postgres.
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Developer blog for MySQL Python project. Friday, November 16, 2012. if you have the prerequisites. A C compiler and associated toolchain. Python development headers and libraries. MySQL development headers and libraries.
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We revealed that scaledb.com is employing the Apache/2.2.15 (CentOS) server.SITE TITLE
Big, Fast, Time-Series in MySQLDESCRIPTION
ScaleDB real-time analytics across stream data. It inserts 1.5M rowssecond and queries process 15M rowssecond. An ideal complement to Stream Processors.PARSED CONTENT
The web site has the following on the web site, "10s of Millions of RowsSecond." I noticed that the web site also said " Say NO to Batch Processing." They also said " Batch is Old Schoollike Mainframes and Punchcards. Imagine Google Queries Taking 1 Day. Its Insane! ScaleDB Enables real-Time Ad Hoc Queries. Do you have too much data for MySQL? Is your data streaming in too fast for MySQL? Do your queries take too long? Do you need to store and manipulate time-series data? October 15, 1100AM PDT."ANALYZE SIMILAR BUSINESSES
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