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MicrosoftResearch
Naiad
C#2014–2016
MicrosoftResearch / Naiad · Archived

Naiad

The Naiad system provides fast incremental and iterative computation for data-parallel workloads

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2Distinct people
3Mentions
0Explicit recommenders
526GitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

The Naiad system provides fast incremental and iterative computation for data-parallel workloads

GitHub

Where it is used

No documented product use has been verified yet.

What people are saying

No recommendation phrase was found in the indexed comments.

No classified warning is attached to this page. Read the discussions before treating silence as approval.

Also in these discussions

No other repository is repeatedly linked in the same discussions.

This week on Hacker News

Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 3:56:07 PM UTC.

No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.

Mentions over time

HN mentions by month3 dated mentions

Observed mentions: 2014-11-18 11:33:50 UTC to 2016-07-31 13:57:51 UTC.

012014-11-01 00:00:00 UTC to 2014-12-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 commentsNov 20142014-12-01 00:00:00 UTC to 2015-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2015-01-01 00:00:00 UTC to 2015-02-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2015-02-01 00:00:00 UTC to 2015-03-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2015-03-01 00:00:00 UTC to 2015-04-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2015-04-01 00:00:00 UTC to 2015-05-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2015-05-01 00:00:00 UTC to 2015-06-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2015-06-01 00:00:00 UTC to 2015-07-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2015-07-01 00:00:00 UTC to 2015-08-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2015-08-01 00:00:00 UTC to 2015-09-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2015-09-01 00:00:00 UTC to 2015-10-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 commentsSep 20152015-10-01 00:00:00 UTC to 2015-11-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2015-11-01 00:00:00 UTC to 2015-12-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2015-12-01 00:00:00 UTC to 2016-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2016-01-01 00:00:00 UTC to 2016-02-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2016-02-01 00:00:00 UTC to 2016-03-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2016-03-01 00:00:00 UTC to 2016-04-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2016-04-01 00:00:00 UTC to 2016-05-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2016-05-01 00:00:00 UTC to 2016-06-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2016-06-01 00:00:00 UTC to 2016-07-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2016-07-01 00:00:00 UTC to 2016-08-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 commentsJul 2016

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges
UTC ranges include their start and exclude their end. Select a period to filter the source evidence.
PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
Nov 20142014-11-01 00:00:00 UTC2014-12-01 00:00:00 UTC101
Dec 20142014-12-01 00:00:00 UTC2015-01-01 00:00:00 UTC000
Jan 20152015-01-01 00:00:00 UTC2015-02-01 00:00:00 UTC000
Feb 20152015-02-01 00:00:00 UTC2015-03-01 00:00:00 UTC000
Mar 20152015-03-01 00:00:00 UTC2015-04-01 00:00:00 UTC000
Apr 20152015-04-01 00:00:00 UTC2015-05-01 00:00:00 UTC000
May 20152015-05-01 00:00:00 UTC2015-06-01 00:00:00 UTC000
Jun 20152015-06-01 00:00:00 UTC2015-07-01 00:00:00 UTC000
Jul 20152015-07-01 00:00:00 UTC2015-08-01 00:00:00 UTC000
Aug 20152015-08-01 00:00:00 UTC2015-09-01 00:00:00 UTC000
Sep 20152015-09-01 00:00:00 UTC2015-10-01 00:00:00 UTC000
Oct 20152015-10-01 00:00:00 UTC2015-11-01 00:00:00 UTC000
Nov 20152015-11-01 00:00:00 UTC2015-12-01 00:00:00 UTC000
Dec 20152015-12-01 00:00:00 UTC2016-01-01 00:00:00 UTC000
Jan 20162016-01-01 00:00:00 UTC2016-02-01 00:00:00 UTC000
Feb 20162016-02-01 00:00:00 UTC2016-03-01 00:00:00 UTC101
Mar 20162016-03-01 00:00:00 UTC2016-04-01 00:00:00 UTC000
Apr 20162016-04-01 00:00:00 UTC2016-05-01 00:00:00 UTC000
May 20162016-05-01 00:00:00 UTC2016-06-01 00:00:00 UTC000
Jun 20162016-06-01 00:00:00 UTC2016-07-01 00:00:00 UTC000
Jul 20162016-07-01 00:00:00 UTC2016-08-01 00:00:00 UTC101

What Hacker News says

3 sources
profquail·Jul 31, 2016
Frank McSherry was a researcher at MSR Silicon Valley; when the office was closed in 2014, most (all?) of the researchers were also let go. Frank was a member of a research group working on differential dataflow; not long before the office was closed they released a really awesome open-source library, Naiad [0], which looked extremely promising as a means for efficiently implementing certain stream-processing tasks. The team had a nice blog [1] going too, explaining how different aspects of Naiad make it more efficient than other stream-processing systems (at least, for certain classes of algorithms). [0]: https://github.com/MicrosoftResearch/Naiad/ [1]: https://bigdataatsvc.wordpress.com/
In Differential dataflow roadmap

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