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The following commit(s) were added to refs/heads/master by this push:
     new 29cfa48  Add Confluent, Innowatts, Zilingo
     new 2affb70  Merge pull request #172 from druid-matt/patch-24
29cfa48 is described below

commit 29cfa481ecd8b8f0e170d915265b131ad5ea3b8c
Author: Matt Sarrel <[email protected]>
AuthorDate: Mon Oct 5 16:24:13 2020 -0700

    Add Confluent, Innowatts, Zilingo
---
 druid-powered.md | 16 +++++++++++++++-
 1 file changed, 15 insertions(+), 1 deletion(-)

diff --git a/druid-powered.md b/druid-powered.md
index 9ec6627..66808c1 100644
--- a/druid-powered.md
+++ b/druid-powered.md
@@ -96,6 +96,10 @@ Cisco uses Druid to power a real-time analytics platform for 
network flow data.
 
 Condé Nast uses Druid to track billions of events across our two dozen brands, 
both in real time and historically. Druid helps power dashboards, site 
performance trackers, and many other internal applications.
 
+## Confluent
+
+Druid has helped push operational visibility to the next level. Operating 
multi-tenant services requires fine-grained visibility down to the individual 
tenant, user, or application behavior, where most traditional monitoring stacks 
fail to scale or become cost-prohibitive. Leveraging Druid as part of our stack 
means we don't shy away from high-cardinality data. As a result, our teams can 
not only quickly troubleshoot issues but also glean detailed understanding to 
help improve the product. 
+
 ## Contiamo
 
 [Contiamo](https://www.contiamo.com) uses cutting edge technology to enable 
agile development and deployment of data-driven frontends and automations. 
Druid powers various dashboards and frontends that deal with large amounts of 
event based data.
@@ -126,7 +130,7 @@ At [Deep.BI](https://www.deep.bi) we track user habits, 
engagement, product and
 
 Our talk from FlinkForward conference in Berlin 2019:
 
-[Real-time Stream Analytics and User Scoring Using Apache Druid, Flink & 
Cassandra at Deep.BI] 
(https://medium.com/deep-bi/real-time-stream-analytics-and-user-scoring-using-apache-druid-flink-cassandra-at-deep-bi-38e5dc40958d?source=friends_link&sk=d9c85da0cb060280bfeb8f3c1c166e84)
+* [Real-time Stream Analytics and User Scoring Using Apache Druid, Flink & 
Cassandra at 
Deep.BI](https://medium.com/deep-bi/real-time-stream-analytics-and-user-scoring-using-apache-druid-flink-cassandra-at-deep-bi-38e5dc40958d?source=friends_link&sk=d9c85da0cb060280bfeb8f3c1c166e84)
 
 ## Delta Projects
 
@@ -221,6 +225,12 @@ Imply uses Druid to power public demos and to power our 
internal monitoring and
 
 Inmobi is a mobile advertising and discovery platform. We use Druid majorly 
for internal realtime reporting and analysis. We also use Caravel backed by 
Druid, which allows users to build interactive dashboards. Apart from that, we 
use Druid as a Datastore for faster ingestion of large amount of data and to 
query this data at sub second latencies.
 
+## Innowatts
+
+Innowatts uses Druid to quickly work with massive data sets, and 
differentiates its platform with the intended direction to read meters and 
forecast usage on the fly.
+
+* [Innowatts provides AI-driven analytics for the power 
industry](https://imply.io/post/innowatts-innovates-power-utilities-analytics)
+
 ## Interactive Intelligence
 
 At ININ we're using Druid within a Lambda architecture to drive cloud based 
call center analytics. Many of our realtime dashboards, downloadable reports, 
and public APIs utilize Druid on the backend.
@@ -661,6 +671,10 @@ China Youzan is a SaaS company which principally engaged 
in retail science and t
 
 [Zhihu](https://www.zhihu.com/) is a Chinese question-and-answer website. In 
Zhihu, Druid is used to power clients' interactive queries, data reports, A/B 
testing and performance monitoring. Almost 1T per day data is ingested into 
druid cluster, and we are strongly depending on thetaSketch aggregator for 
computing cardinality and retention, looking forward to more improvement on 
DataSketch.
 
+## Zilingo
+
+Zilingo's data collection infrastructure, processing pipeline and analytics 
stack is based on Druid. Data is collected from various IOT devices/sensors, 
mobile and tablet devices and 3p data and is streamed in near realtime. This 
allows our customers to get a view of the supply chain with thousands of data 
points via dashboards, reports and the ability to slice and dice data.
+
 ## Zscaler
 * [Druid @ Zscaler - A 
Retrospective](https://imply.io/post/druid-at-zscaler-security-log-analytics)
 


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