#analytics database

ClickHouse launches ClickHouse Cloud, extends its Series B

Since its launch as an open-source project by Yandex in 2016, ClickHouse has become one of the leading databases for online analytical processing (OLAP), allowing businesses to quickly generate ad-hoc reports over very large datasets. In 2021, Yandex spun off ClickHouse into its own company and joined an initial $50 million Series A funding round led by Index Ventures and Benchmark Capital. Two…

The one thing that I’ve learned about talkwalker.com over the last 10 days is that they tend to round a lot. As I was creating my database, it became very obvious that they’ve been rounding numbers a lot earlier than I necessarily feel comfortable with (so some of my totals differ slightly from theirs). 

It’s similar with the maps. Their totals are more regional than they are specific, so people across various areas get lumped together in one number bubble. Unless someone is out in the middle of nowhere (like Antarctica or an island in the ocean), that’s what usually happens. But it also depends on how far you zoom in on the landmass; the closer in you go the more specific it gets. On some of the maps (like Asia, for example) I was a little further out than I was when screenshotting the others because it was such as massive area that I needed to cover.

All data found through and transposed from talkwalker.com. 

Keep in mind that I was unable to save the hourly data from the evening of June 4th (when the cancellation was announced) and most of June 5th. This is was I was able to save, either from the website or the Analytics Updates I started tweeting.

#SaveShadowhunters

#PickUpShadowhunters

Brian Smith (Datameer Regional Director of Sales):

DAS is an open book at every stage of the data pipeline, with plug and play support at each phase – integration, analysis and visualization. Under the covers, DAS generates Java/MapReduce code that runs natively on the Hadoop cluster. All current Hadoop distros are supported – we’re Switzerland when it comes to platform support for Apache, Cloudera, MapR, IBM and the rest, we run all of it in a browser on Windows, Mac and Linux.

As always I won’t comment on statements referring to “first” or “best”. But I find Brian Smith’s assessment of the Hadoop economics very accurate:

The economics are compelling — Hadoop is moving out costly analytic databases and warehouses, driving IT to re-look at ADBMS sales cycles, shifting IT dollars and vendor roadmaps, and generally wreaking havoc in the traditional vendor community. We’ve gone from one or two distributions to nine in the last year! And, literally every vendor in the BI/DBMS space has a Hadoop connector, the latest being the recent Oracle announcement. Everybody is on board this train — All this based upon the premise of unlimited scale and data variety at a fraction of traditional costs.  Technical challenges exist, but its clear that there’s a sea change.