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Posted to commits@druid.apache.org by fj...@apache.org on 2019/11/03 05:36:55 UTC
[incubator-druid-website-src] 01/01: clean up language
This is an automated email from the ASF dual-hosted git repository.
fjy pushed a commit to branch s
in repository https://gitbox.apache.org/repos/asf/incubator-druid-website-src.git
commit e94ccc55040e9ef80ab016e36b0ce4c5c6191a84
Author: fjy <fa...@gmail.com>
AuthorDate: Sat Nov 2 22:36:42 2019 -0700
clean up language
---
_data/events.yml | 5 +++++
index.html | 14 +++++++-------
2 files changed, 12 insertions(+), 7 deletions(-)
diff --git a/_data/events.yml b/_data/events.yml
index 0543cc7..9c443f8 100644
--- a/_data/events.yml
+++ b/_data/events.yml
@@ -7,3 +7,8 @@
name: "Munich Apache Druid Meetup @ Ippen Digital"
info: "Ippen Digital, Paul-Heyse-Straße 2, 80336 München, Germany"
link: https://www.meetup.com/Apache-Druid-Munich/events/265710003/
+
+- date: 2019-11-19
+ name: "Israel Apache Druid Meetup @ TBD"
+ info: "Location TBD"
+ link: https://www.meetup.com/Druid-Israel/events/265368647/
diff --git a/index.html b/index.html
index 1ca9044..54a4834 100644
--- a/index.html
+++ b/index.html
@@ -30,30 +30,30 @@ canonical: 'https://druid.apache.org/'
<div class="features">
<div class="feature">
<span class="fa fa-chart-line fa"></span>
- <h5>Power applications where low latency really matters</h5>
+ <h5>A modern cloud-native, stream-native, analytics database</h5>
<p>
- Druid is a real-time analytics database that excels at providing immediate data visibility and understanding. Easily load streaming or batch data, and answer ad-hoc analytic queries on billions of rows in under a second.
+ Druid is a next-gen open source alternative to analytical databases such as Vertica, Greenplum, and Exadata, and data warehouses such as Snowflake, BigQuery, and Redshift.
</p>
</div>
<div class="feature">
<span class="fa fa-forward fa"></span>
- <h5>Build event-driven data stacks</h5>
+ <h5>Dead easy integration with your existing data pipeline</h5>
<p>
- Druid is a query layer that that natively integrates with message buses (<a href='http://kafka.apache.org/'>Kafka</a>, <a href='https://aws.amazon.com/kinesis/'>AWS Kinesis</a>, etc) and data lakes (<a href='https://hadoop.apache.org/docs/stable/hadoop-project-dist/hadoop-hdfs/HdfsUserGuide.html'>HDFS</a>, <a href='https://aws.amazon.com/s3/'>AWS S3</a>, etc). Build end-to-end data stacks ideal for streaming data.
+ Druid can natively stream data from message buses such as <a href='http://kafka.apache.org/'>Kafka</a>, <a href='https://aws.amazon.com/kinesis/'>Amazon Kinesis</a>, and more, and batch load files from data lakes such as <a href='https://hadoop.apache.org/docs/stable/hadoop-project-dist/hadoop-hdfs/HdfsUserGuide.html'>HDFS</a>, <a href='https://aws.amazon.com/s3/'>Amazon S3</a>, and more.
</p>
</div>
<div class="feature">
<span class="fa fa-lightbulb fa"></span>
- <h5>Utilize reimagined architecture</h5>
+ <h5>100x faster than traditional solutions</h5>
<p>
- Druid is over <a href='https://imply.io/post/performance-benchmark-druid-presto-hive'>100x faster</a> than legacy data warehouses for data ingestion and data querying. Druid has a brand new architecture that combines ideas from <a href='https://en.wikipedia.org/wiki/Data_warehouse'>data warehouses</a>, <a href='https://en.wikipedia.org/wiki/Time_series_database'>timeseries databases</a>, and <a href='https://en.wikipedia.org/wiki/Search_engine_(computing)'>search systems</a>.
+ Druid has been <a href='https://imply.io/post/performance-benchmark-druid-presto-hive'>benchmarked</a> to greatly outpeform than legacy solutions for data ingestion and data querying. Druid's novel architecture combines the best of <a href='https://en.wikipedia.org/wiki/Data_warehouse'>data warehouses</a>, <a href='https://en.wikipedia.org/wiki/Time_series_database'>timeseries databases</a>, and <a href='https://en.wikipedia.org/wiki/Search_engine_(computing)'>search systems</a>.
</p>
</div>
<div class="feature">
<span class="fa fa-unlock fa"></span>
<h5>Unlock new workflows</h5>
<p>
- Druid <a href='/use-cases'>unlocks new types of queries and workflows</a> for clickstream, APM, supply chain, network telemetry, digital marketing, and many other forms of event-driven data. Druid is designed for rapid, ad-hoc analytics on both real-time and historical data.
+ Druid <a href='/use-cases'>unlocks new types of queries and workflows</a> for clickstream, APM, supply chain, network telemetry, digital marketing, and many other forms of event-driven data. Druid is purpose built for rapid, ad-hoc queries on both real-time and historical data.
</p>
</div>
<div class="feature">
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