Timeline for Database/Storage engine suggestion for a project involving heavy inserts?
Current License: CC BY-SA 3.0
20 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| S Jul 22, 2014 at 11:17 | history | bounty ended | CommunityBot | ||
| S Jul 22, 2014 at 11:17 | history | notice removed | CommunityBot | ||
| Jul 16, 2014 at 14:30 | comment | added | Kirk Roybal | @SurabhilSergy First the responder would have to create a comparison chart of every feature of every RDBMS that relates to "big" data, whatever that means. Then they could proceed to make a lot of relative comparisons based on your criteria. This question doesn't need an answer, it needs a professional. | |
| Jul 16, 2014 at 6:55 | answer | added | Brent Ozar | timeline score: 8 | |
| Jul 16, 2014 at 4:19 | comment | added | Surabhil Sergy | @KirkRoybal you could rather comment me with some points to modify my question. Does my question title or the content stands 'vaguely strategic' ? I believe I tried my best to explain in the best possible ,but I am open for any suggestions too..! | |
| Jul 15, 2014 at 16:02 | comment | added | Kirk Roybal | I downvoted this question in order to get a mod to look at it. The answers are likely to be completely opinionated. The question is vaguely strategic, and I have a hard time imagining an expert writing the ten books it would take to answer this properly. | |
| Jul 15, 2014 at 16:02 | comment | added | user32234 | You will not like MySQL's clustered indexes. | |
| Jul 15, 2014 at 11:17 | answer | added | Karthick | timeline score: 0 | |
| Jul 15, 2014 at 4:44 | answer | added | Mike Honey | timeline score: 0 | |
| Jul 14, 2014 at 10:19 | answer | added | Vérace | timeline score: 4 | |
| S Jul 14, 2014 at 9:54 | history | bounty started | Surabhil Sergy | ||
| S Jul 14, 2014 at 9:54 | history | notice added | Surabhil Sergy | Authoritative reference needed | |
| Jul 14, 2014 at 9:52 | history | edited | Surabhil Sergy | CC BY-SA 3.0 |
added 527 characters in body
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| Jul 4, 2014 at 6:49 | comment | added | Surabhil Sergy | @RLF My application is not a simple website by means.Its a data warehouse. | |
| Jul 2, 2014 at 17:11 | comment | added | RLF | MySQL has a good reputation and is running many large web sites. Summing the results quickly (Is that what you meant?) should not be a problem if there are useful indexes and good code design. | |
| Jul 2, 2014 at 14:22 | review | Close votes | |||
| Jul 14, 2014 at 9:57 | |||||
| Jul 2, 2014 at 13:26 | comment | added | Surabhil Sergy | @Colin'tHart Thanks for this.What about MySQL in this case? Also will there be any difficulties while summing up the results? | |
| Jul 2, 2014 at 13:13 | comment | added | Colin 't Hart | 1 million inserts in a day? That's only about 11.5 inserts per second. Many DBMSes can do this easily. | |
| Jul 2, 2014 at 12:55 | review | First posts | |||
| Jul 2, 2014 at 13:14 | |||||
| Jul 2, 2014 at 12:31 | history | asked | Surabhil Sergy | CC BY-SA 3.0 |