You are viewing a plain text version of this content. The canonical link for it is here.
Posted to commits@druid.apache.org by fj...@apache.org on 2019/11/03 05:36:54 UTC
[incubator-druid-website-src] branch s created (now e94ccc5)
This is an automated email from the ASF dual-hosted git repository.
fjy pushed a change to branch s
in repository https://gitbox.apache.org/repos/asf/incubator-druid-website-src.git.
at e94ccc5 clean up language
This branch includes the following new commits:
new e94ccc5 clean up language
The 1 revisions listed above as "new" are entirely new to this
repository and will be described in separate emails. The revisions
listed as "add" were already present in the repository and have only
been added to this reference.
---------------------------------------------------------------------
To unsubscribe, e-mail: commits-unsubscribe@druid.apache.org
For additional commands, e-mail: commits-help@druid.apache.org
[incubator-druid-website-src] 01/01: clean up language
Posted by fj...@apache.org.
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">
---------------------------------------------------------------------
To unsubscribe, e-mail: commits-unsubscribe@druid.apache.org
For additional commands, e-mail: commits-help@druid.apache.org