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The following commit(s) were added to refs/heads/master by this push:
new b13f631f4fa [blog](Rockset) Update Rockset blog (#786)
b13f631f4fa is described below
commit b13f631f4faedfe2e786a741d3be14abdddaf879
Author: KassieZ <[email protected]>
AuthorDate: Mon Jun 24 20:12:04 2024 +0700
[blog](Rockset) Update Rockset blog (#786)
---
...log-and-time-series-data-analysis-in-netease.md | 2 -
blog/apache-doris-vs-rockset.md | 65 +++++++++++++++++++++
...olution-of-the-apache-doris-execution-engine.md | 2 +-
blog/job-scheduler-for-task-automation.md | 2 +-
blog/release-note-2.0.11.md | 2 +-
src/components/recent-blogs/recent-blogs.data.ts | 9 ++-
src/constant/newsletter.data.ts | 15 ++---
static/images/doris-vs-rockset.jpeg | Bin 0 -> 312030 bytes
static/images/openai-twitter-rockset.png | Bin 0 -> 95709 bytes
9 files changed, 80 insertions(+), 17 deletions(-)
diff --git
a/blog/apache-doris-for-log-and-time-series-data-analysis-in-netease.md
b/blog/apache-doris-for-log-and-time-series-data-analysis-in-netease.md
index b7c8dd470a1..6476abdd466 100644
--- a/blog/apache-doris-for-log-and-time-series-data-analysis-in-netease.md
+++ b/blog/apache-doris-for-log-and-time-series-data-analysis-in-netease.md
@@ -6,8 +6,6 @@
'date': '2024-05-23',
'author': 'Apache Doris',
'tags': ['Best Practice'],
- 'picked': "true",
- 'order': "4",
"image":
'/images/doris-for-log-and-time-series-data-analysis-in-netease.jpg'
}
diff --git a/blog/apache-doris-vs-rockset.md b/blog/apache-doris-vs-rockset.md
new file mode 100644
index 00000000000..d7c80c97ccc
--- /dev/null
+++ b/blog/apache-doris-vs-rockset.md
@@ -0,0 +1,65 @@
+---
+{
+ 'title': 'Why Apache Doris is the best open source alternative to Rockset',
+ 'summary': "Among of all the claim-to-be alternatives to Rockset, Apache
Doris is one of the few that cover all the key features of Rockset.",
+ 'description': "Among of all the claim-to-be alternatives to Rockset,
Apache Doris is one of the few that cover all the key features of Rockset.",
+ 'date': '2024-06-24',
+ 'author': 'Zaki Lu',
+ 'tags': ['Top News'],
+ 'picked': "true",
+ 'order': "1",
+ "image": '/images/doris-vs-rockset.jpeg'
+}
+
+---
+
+<!--
+Licensed to the Apache Software Foundation (ASF) under one
+or more contributor license agreements. See the NOTICE file
+distributed with this work for additional information
+regarding copyright ownership. The ASF licenses this file
+to you under the Apache License, Version 2.0 (the
+"License"); you may not use this file except in compliance
+with the License. You may obtain a copy of the License at
+
+ http://www.apache.org/licenses/LICENSE-2.0
+
+Unless required by applicable law or agreed to in writing,
+software distributed under the License is distributed on an
+"AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+KIND, either express or implied. See the License for the
+specific language governing permissions and limitations
+under the License.
+-->
+
+OpenAI dropped a bomb on the data world by announcing [the acquisition of
Rockset](https://openai.com/index/openai-acquires-rockset/), a cloud-based,
fully managed analytical database. Among all the congratulating voices, one
question is raised: **why [Rockset](https://rockset.com)**?
+
+
+
+Founded in 2016 by Venkat Venkataramani, former Engineering Director at Meta,
Rockset focuses on real-time search and data analytics. Compared to other DBMS,
Rockset stands out by its:
+
+- **Real-time data updates**: Rockset ensures data freshness for users by its
capabilities in fetching and delivering the latest data. It supports real-time
updates at the granularity of data fields, which can be performed within
milliseconds.
+
+- **Converged index**: It reaps the benefits of inverted index, columnar
storage, and row-oriented storage, and provides efficient and flexible data
querying services.
+
+- **Native support for semi-structured data**: Rockset is well-suited to the
growing demand for semi-structured data processing, hash joins, and nested loop
joins.
+
+- **SQL and JOIN compatibility**: The Search Index of Rockset is optimized for
various join queries.
+
+The news also gaves all Rockset users a ticking time bomb: they have to find
an appropriate alternative to Rockset for their own use case within three
months. This, of course, arises as an opportunity for other analytical
databases on the market. However, of all the claim-to-be alternatives, only a
few of them cover all the above-mentioned key features of Rockset. Among them,
Apache Doris is worth looking into.
+
+As an open-source real-time data warehouse, Apache Doris is trusted by over
4000 enterprise users worldwide with powerful functionalities including:
+
+- **Real-time data updates**: Apache Doris supports not only [real-time
updates](https://doris.apache.org/docs/table-design/data-model/unique) and
deletion, but also real-time partial column updates, making it particularly
useful in cases involving frequent data updates.
+
+- **Row/column hybrid storage**: Apache Doris is a column-oriented data
warehouse that achieves world-leading OLAP performance on
[ClickBench](https://benchmark.clickhouse.com/). Additionally, it supports
row-oriented storage to serve [high-concurrency point query
scenarios](https://doris.apache.org/docs/query/high-concurrent-point-query/),
which allows it to respond to almost a million query requests within
milliseconds.
+
+- **[Inverted
index](https://doris.apache.org/docs/table-design/index/inverted-index) and
full-text searches**: Apache Doris provides high efficiency and flexibility in
keyword searching. It allows index creation on all fields and a flexible
combination of data fields for multi-dimensional data analysis.
+
+- **Native support for semi-structured data**: Apache Doris has introduced the
[VARIANT](https://doris.apache.org/docs/sql-manual/sql-types/Data-Types/VARIANT)
data type to accommodate semi-structured data. It enables flexible data schema
and high query speed on top of cost-efficient data storage. Compared to
traditional JSON methods, VARIANT can bring a 10x performance improvement.
+
+- **Support for various SQL and [join
operations](https://doris.apache.org/docs/query/join-optimization/doris-join-optimization)**:
Apache Doris is highly compatible with MySQL syntaxes and interfaces. It
supports INNER JOIN, CROSS JOIN, and all types of OUTER JOIN. The best part is
its capability of auto-optimization based on data types to guarantee optimal
performance under different circumstances.
+
+As a Top-Level Project of the Apache Software Foundation, Apache Doris is
supported by a robust and fast-growing community. It has accumulated over 11.8K
GitHub stars and 636 contributors so far.
+
+If you are seeking a fully managed solution instead of an open source product,
you might want to look into [VeloDB](https://www.velodb.io). As the commercial
service provider of Apache Doris, VeloDB offers a wider range of products that
are more tailored to the needs of enterprises. [VeloDB
Cloud](https://www.velodb.io/cloud) decouples compute and storage on the basis
of Apache Doris, thus realizing higher elastic scalability and cost efficiency.
Like cloud-based Rockset, it frees users [...]
\ No newline at end of file
diff --git a/blog/evolution-of-the-apache-doris-execution-engine.md
b/blog/evolution-of-the-apache-doris-execution-engine.md
index 82ca7d22123..e9c00f4395d 100644
--- a/blog/evolution-of-the-apache-doris-execution-engine.md
+++ b/blog/evolution-of-the-apache-doris-execution-engine.md
@@ -7,7 +7,7 @@
'author': 'Apache Doris',
'tags': ['Tech Sharing'],
'picked': "true",
- 'order': "1",
+ 'order': "2",
"image": '/images/evolution-of-the-apache-doris-execution-engine.jpg'
}
diff --git a/blog/job-scheduler-for-task-automation.md
b/blog/job-scheduler-for-task-automation.md
index f36e5bc32a5..f4e9e67fbc2 100644
--- a/blog/job-scheduler-for-task-automation.md
+++ b/blog/job-scheduler-for-task-automation.md
@@ -7,7 +7,7 @@
'author': 'Apache Doris',
'tags': ['Tech Sharing'],
'picked': "true",
- 'order': "2",
+ 'order': "3",
"image": '/images/job-scheduler-for-task-automation.jpg'
}
diff --git a/blog/release-note-2.0.11.md b/blog/release-note-2.0.11.md
index 51a3e1af423..1de88be7e5e 100644
--- a/blog/release-note-2.0.11.md
+++ b/blog/release-note-2.0.11.md
@@ -7,7 +7,7 @@
'author': 'Apache Doris',
'tags': ['Release Notes'],
'picked': "true",
- 'order': "3",
+ 'order': "4",
"image": '/images/2.0.11.jpg'
}
---
diff --git a/src/components/recent-blogs/recent-blogs.data.ts
b/src/components/recent-blogs/recent-blogs.data.ts
index 8e969e9e4a2..7bf80ee408c 100644
--- a/src/components/recent-blogs/recent-blogs.data.ts
+++ b/src/components/recent-blogs/recent-blogs.data.ts
@@ -1,4 +1,8 @@
export const RECENT_BLOGS_POSTS = [
+ {
+ label: `Steps to industry-leading query speed: evolution of the Apache
Doris execution engine`,
+ link:
'https://doris.apache.org/blog/evolution-of-the-apache-doris-execution-engine',
+ },
{
label: `Another lifesaver for data engineers: Apache Doris Job
Scheduler for task automation`,
link:
'https://doris.apache.org/blog/job-scheduler-for-task-automation',
@@ -11,9 +15,4 @@ export const RECENT_BLOGS_POSTS = [
label: 'Apache Doris for log and time series data analysis in NetEase,
why not Elasticsearch and InfluxDB?',
link:
'https://doris.apache.org/blog/apache-doris-for-log-and-time-series-data-analysis-in-netease',
},
-
- {
- label: `Multi-tenant workload isolation: a better balance between
isolation and utilization`,
- link:
'https://doris.apache.org/blog/multi-tenant-workload-isolation-in-apache-doris',
- },
];
diff --git a/src/constant/newsletter.data.ts b/src/constant/newsletter.data.ts
index 8e4ba3651d9..bd11ca36616 100644
--- a/src/constant/newsletter.data.ts
+++ b/src/constant/newsletter.data.ts
@@ -1,4 +1,11 @@
export const NEWSLETTER_DATA = [
+ {
+ tags: ['Top News'],
+ title: "Why Apache Doris is the Best Open Source Alternative to
Rockset",
+ content: `Among of all the claim-to-be alternatives to Rockset, Apache
Doris is one of the few that cover all the key features of Rockset.`,
+ to: '/blog/apache-doris-vs-rockset',
+ image: 'doris-vs-rockset.jpeg',
+ },
{
tags: ['Tech Sharing'],
title: "Steps to industry-leading query speed: evolution of the Apache
Doris execution engine",
@@ -21,11 +28,5 @@ export const NEWSLETTER_DATA = [
to: '/blog/release-note-2.0.11',
image: '2.0.11.jpg',
},
- {
- tags: ['Best Practice'],
- title: "Apache Doris for log and time series data analysis in NetEase,
why not Elasticsearch and InfluxDB?",
- content: `NetEase (NASDAQ: NTES) has replaced Elasticsearch and
InfluxDB with Apache Doris in its monitoring and time series data analysis
platforms, respectively, achieving 11X query performance and saving 70% of
resources.`,
- to:
'/blog/apache-doris-for-log-and-time-series-data-analysis-in-netease',
- image: 'doris-for-log-and-time-series-data-analysis-in-netease.jpg',
- },
+
];
diff --git a/static/images/doris-vs-rockset.jpeg
b/static/images/doris-vs-rockset.jpeg
new file mode 100644
index 00000000000..2cd3dffe606
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diff --git a/static/images/openai-twitter-rockset.png
b/static/images/openai-twitter-rockset.png
new file mode 100644
index 00000000000..43975b9c1c5
Binary files /dev/null and b/static/images/openai-twitter-rockset.png differ
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