Panoply Automated Data Warehouse - Panoply

Continuous, automated data modeling and maintenance over Redshift. The only full-stack data handling and management platform for analytical infrastructure

OVERVIEW

The domain panoply.io currently has an average traffic ranking of two hundred and seventy-nine thousand five hundred and thirty-nine (the smaller the higher page views). We have downloaded eight pages within the domain panoply.io and found three websites linking to panoply.io. There are four public communication platforms acquired by this website.
Traffic Rank
#279539
Pages Parsed
8
Links to this site
3
Social Links
4

PANOPLY.IO TRAFFIC

The domain panoply.io has seen diverging quantities of traffic all through the year. For some reason, the web page had a ranking in the past 24 hours of two hundred and seventy-nine thousand five hundred and thirty-nine.
Traffic for panoply.io

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LINKS TO PANOPLY.IO

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WHAT DOES PANOPLY.IO LOOK LIKE?

Desktop Screenshot of panoply.io Mobile Screenshot of panoply.io Tablet Screenshot of panoply.io

PANOPLY.IO SERVER

We discovered that a single page on panoply.io took one thousand six hundred and nine milliseconds to download. I could not detect a SSL certificate, so our parsers consider this site not secure.
Load time
1.609 sec
SSL
NOT SECURE
IP
52.55.209.102

FAVICON

SERVER SOFTWARE

We observed that this website is utilizing the WEBrick/1.3.1 (Ruby/2.1.10/2016-04-01) operating system.

SITE TITLE

Panoply Automated Data Warehouse - Panoply

DESCRIPTION

Continuous, automated data modeling and maintenance over Redshift. The only full-stack data handling and management platform for analytical infrastructure

PARSED CONTENT

The domain panoply.io has the following on the homepage, "io is a cloud-based data management platform for analytics that streamlines time and value for data engineers, scientists and analysts automating the full data stack without the overhead of preparing and modeling data, or managing infrastructure cutting down development time by 80." I observed that the website also said " Conquering Inefficiency in Data Analytics."

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