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new b5e42dc2071 Update blog 0718 (#2642)
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commit b5e42dc2071021ca6610ef8510c9b1b9da59a788
Author: KassieZ <[email protected]>
AuthorDate: Mon Jul 21 11:21:49 2025 +0800
Update blog 0718 (#2642)
## Versions
- [ ] dev
- [ ] 3.0
- [ ] 2.1
- [ ] 2.0
## Languages
- [ ] Chinese
- [ ] English
## Docs Checklist
- [ ] Checked by AI
- [ ] Test Cases Built
---
...billion-json-records-1-second-query-response.md | 14 +++++++++
blog/apache-doris-and-deepseek-community-voice.md | 2 --
blog/apache-doris-the-data-lakehouse-evolution.md | 2 --
...ilding-real-time-lakehouse-with-apache-doris.md | 14 +++++++++
...mqx-apache-doris-ecosystem-for-iot-analytics.md | 12 ++++++++
...khouse-to-doris-trillion-log-scale-analytics.md | 14 +++++++++
...asticsearch-to-doris-boosting-queries-by-56x.md | 14 +++++++++
...doris-for-pb-scale-log-storage-and-analytics.md | 2 --
blog/which-powers-observability-better.md | 2 --
src/constant/newsletter.data.ts | 32 ++++++++++-----------
...illion-json-records-1-second-query-response.jpg | Bin 0 -> 618193 bytes
...lding-real-time-lakehouse-with-apache-doris.jpg | Bin 0 -> 490296 bytes
...qx-apache-doris-ecosystem-for-iot-analytics.png | Bin 0 -> 526984 bytes
...house-to-doris-trillion-log-scale-analytics.jpg | Bin 0 -> 353806 bytes
...sticsearch-to-doris-boosting-queries-by-56x.jpg | Bin 0 -> 258350 bytes
15 files changed, 84 insertions(+), 24 deletions(-)
diff --git a/blog/1-billion-json-records-1-second-query-response.md
b/blog/1-billion-json-records-1-second-query-response.md
new file mode 100644
index 00000000000..474a0d07e66
--- /dev/null
+++ b/blog/1-billion-json-records-1-second-query-response.md
@@ -0,0 +1,14 @@
+---
+{
+ 'title': '1 Billion JSON Records, 1-Second Query Response',
+ 'summary': "Who reigns over JSONBench? Apache Doris ranks among the
top-performers, second only to two versions of Clickhouse (the maintainer of
JSONBench itself). After some simple tuning, Apache Doris outperforms
ClickHouse by 39%.",
+ 'description': "Who reigns over JSONBench? Apache Doris ranks among the
top-performers, second only to two versions of Clickhouse (the maintainer of
JSONBench itself). After some simple tuning, Apache Doris outperforms
ClickHouse by 39%.",
+ 'date': '2025-07-02',
+ 'author': 'velodb.io · Xiaolei, Apache Doris Committer',
+ 'externalLink': 'https://www.velodb.io/blog/1422',
+ 'tags': ['Tech Sharing'],
+ 'picked': "true",
+ 'order': "2",
+ "image": '/images/blogs/1-billion-json-records-1-second-query-response.jpg'
+}
+---
diff --git a/blog/apache-doris-and-deepseek-community-voice.md
b/blog/apache-doris-and-deepseek-community-voice.md
index 8a585995d51..96a382659de 100644
--- a/blog/apache-doris-and-deepseek-community-voice.md
+++ b/blog/apache-doris-and-deepseek-community-voice.md
@@ -7,8 +7,6 @@
'author': 'Medium · DarrenXu',
'externalLink':
'https://medium.com/%40xudarren1023/apache-doris-and-deepseek-redefining-intelligent-data-analytics-2b6b778e1034',
'tags': ['Tech Sharing'],
- 'picked': "true",
- 'order': "4",
"image": '/images/blogs/doris-deepseek.jpg'
}
---
diff --git a/blog/apache-doris-the-data-lakehouse-evolution.md
b/blog/apache-doris-the-data-lakehouse-evolution.md
index 02889fdf758..7b7d20ead7a 100644
--- a/blog/apache-doris-the-data-lakehouse-evolution.md
+++ b/blog/apache-doris-the-data-lakehouse-evolution.md
@@ -7,8 +7,6 @@
'author': 'velodb.io · Rayner Chen, Apache Doris PMC Chair',
'externalLink': 'https://www.velodb.io/blog/1411',
'tags': ['Tech Sharing'],
- 'picked': "true",
- 'order': "1",
"image": '/images/blogs/apache-doris-the-data-lakehouse-evolution.jpg'
}
---
diff --git a/blog/building-real-time-lakehouse-with-apache-doris.md
b/blog/building-real-time-lakehouse-with-apache-doris.md
new file mode 100644
index 00000000000..8d414913a54
--- /dev/null
+++ b/blog/building-real-time-lakehouse-with-apache-doris.md
@@ -0,0 +1,14 @@
+---
+{
+ 'title': 'Building Real-Time Lakehouse with Apache Doris: A Practical
Guide',
+ 'summary': "The Lakehouse is a data management paradigm that combines the
advantages of data lakes and data warehouses. Apache Doris advances this
concept with its core philosophies of Boundless Data, Seamless Lakehouse. This
article takes a deeper dive into its typical application scenarios to help
readers better understand and apply its capabilities.",
+ 'description': "The Lakehouse is a data management paradigm that combines
the advantages of data lakes and data warehouses. Apache Doris advances this
concept with its core philosophies of Boundless Data, Seamless Lakehouse. This
article takes a deeper dive into its typical application scenarios to help
readers better understand and apply its capabilities.",
+ 'date': '2025-07-15',
+ 'author': 'velodb.io · VeloDB Engineering Team',
+ 'externalLink': 'https://www.velodb.io/blog/1428',
+ 'tags': ['Tech Sharing'],
+ 'picked': "true",
+ 'order': "4",
+ "image": '/images/blogs/building-real-time-lakehouse-with-apache-doris.jpg'
+}
+---
diff --git a/blog/emqx-apache-doris-ecosystem-for-iot-analytics.md
b/blog/emqx-apache-doris-ecosystem-for-iot-analytics.md
new file mode 100644
index 00000000000..5b936dc3bc0
--- /dev/null
+++ b/blog/emqx-apache-doris-ecosystem-for-iot-analytics.md
@@ -0,0 +1,12 @@
+---
+{
+ 'title': 'EMQX now supports real-time data ingestion into Apache Doris for
efficient IoT analytics',
+ 'summary': "Apache Doris data integration is an out-of-the-box feature in
EMQX, which enables complex business development through simple configuration.
In a typical IoT application, EMQX, as the IoT platform, is responsible for
device connection and transmitting messages. Apache Doris, as the data storage
platform, is responsible for storing device status and metadata, as well as
message data storage and data analysis. Using EMQX and Apache Doris, users can
build high-performance, r [...]
+ 'description': "Apache Doris data integration is an out-of-the-box feature
in EMQX, which enables complex business development through simple
configuration. In a typical IoT application, EMQX, as the IoT platform, is
responsible for device connection and transmitting messages. Apache Doris, as
the data storage platform, is responsible for storing device status and
metadata, as well as message data storage and data analysis. Using EMQX and
Apache Doris, users can build high-performanc [...]
+ 'date': '2025-07-02',
+ 'author': 'velodb.io · VeloDB Engineering Team',
+ 'externalLink': '1-billion-json-records-1-second-query-response',
+ 'tags': ['Tech Sharing'],
+ "image": '/images/blogs/emqx-apache-doris-ecosystem-for-iot-analytics.png'
+}
+---
diff --git a/blog/from-clickhouse-to-doris-trillion-log-scale-analytics.md
b/blog/from-clickhouse-to-doris-trillion-log-scale-analytics.md
new file mode 100644
index 00000000000..da0c147bbf7
--- /dev/null
+++ b/blog/from-clickhouse-to-doris-trillion-log-scale-analytics.md
@@ -0,0 +1,14 @@
+---
+{
+ 'title': 'From ClickHouse to Apache Doris: Powering Trillion-Log-Scale
Analytics at a Leading Music Streaming Service',
+ 'summary': "A major music streaming platform successfully migrated its
massive 2PB log analytics from ClickHouse to Apache Doris, achieving up to 7x
faster searches, 30% lower P99 query latency, 2.5x higher concurrency, and
significant operational savings.",
+ 'description': "A major music streaming platform successfully migrated its
massive 2PB log analytics from ClickHouse to Apache Doris, achieving up to 7x
faster searches, 30% lower P99 query latency, 2.5x higher concurrency, and
significant operational savings.",
+ 'date': '2025-07-17',
+ 'author': 'velodb.io · VeloDB Engineering Team',
+ 'externalLink': 'https://www.velodb.io/blog/1429',
+ 'tags': ['Tech Sharing'],
+ 'picked': "true",
+ 'order': "1",
+ "image":
'/images/blogs/from-clickhouse-to-doris-trillion-log-scale-analytics.jpg'
+}
+---
diff --git a/blog/from-elasticsearch-to-doris-boosting-queries-by-56x.md
b/blog/from-elasticsearch-to-doris-boosting-queries-by-56x.md
new file mode 100644
index 00000000000..e980d68c82e
--- /dev/null
+++ b/blog/from-elasticsearch-to-doris-boosting-queries-by-56x.md
@@ -0,0 +1,14 @@
+---
+{
+ 'title': 'From Elasticsearch to Apache Doris: How a Leading Payment
Platform Upgraded its Financial Security Analytics, Boosting Queries by 56x',
+ 'summary': "A leading payment platform, handling over 600 million daily
security events, replaced its Elasticsearch and Hudi stack with Apache Doris.
This move achieved up to 56x faster queries, 50% lower storage costs, and 58%
higher write throughput, while simplifying architecture and boosting developer
efficiency.",
+ 'description': "A leading payment platform, handling over 600 million
daily security events, replaced its Elasticsearch and Hudi stack with Apache
Doris. This move achieved up to 56x faster queries, 50% lower storage costs,
and 58% higher write throughput, while simplifying architecture and boosting
developer efficiency.",
+ 'date': '2025-07-13',
+ 'author': 'velodb.io · VeloDB Engineering Team',
+ 'externalLink': 'https://www.velodb.io/blog/1427',
+ 'tags': ['Tech Sharing'],
+ 'picked': "true",
+ 'order': "3",
+ "image":
'/images/blogs/from-elasticsearch-to-doris-boosting-queries-by-56x.jpg'
+}
+---
diff --git
a/blog/top-commercial-bank-migrated-from-elasticsearch-to-apache-doris-for-pb-scale-log-storage-and-analytics.md
b/blog/top-commercial-bank-migrated-from-elasticsearch-to-apache-doris-for-pb-scale-log-storage-and-analytics.md
index 4ed6b367ff2..543a087218b 100644
---
a/blog/top-commercial-bank-migrated-from-elasticsearch-to-apache-doris-for-pb-scale-log-storage-and-analytics.md
+++
b/blog/top-commercial-bank-migrated-from-elasticsearch-to-apache-doris-for-pb-scale-log-storage-and-analytics.md
@@ -7,8 +7,6 @@
'author': 'velodb.io · VeloDB Engineering Team',
'externalLink': 'https://www.velodb.io/blog/1410',
'tags': ['Best Practice'],
- 'picked': "true",
- 'order': "2",
"image": '/images/blogs/top-commercial-bank.jpeg'
}
---
diff --git a/blog/which-powers-observability-better.md
b/blog/which-powers-observability-better.md
index 57df1c4cfc4..31c53613998 100644
--- a/blog/which-powers-observability-better.md
+++ b/blog/which-powers-observability-better.md
@@ -7,8 +7,6 @@
'author': 'velodb.io · VeloDB Engineering Team',
'tags': ['Tech Sharing'],
'externalLink': 'https://www.velodb.io/blog/1406',
- 'picked': "true",
- 'order': "3",
"image": '/images/which-powers-observability-better.jpg'
}
---
diff --git a/src/constant/newsletter.data.ts b/src/constant/newsletter.data.ts
index 1d4f503591e..e07bc7989b3 100644
--- a/src/constant/newsletter.data.ts
+++ b/src/constant/newsletter.data.ts
@@ -1,31 +1,31 @@
export const NEWSLETTER_DATA = [
{
tags: ['Best Practice'],
- title: "Top commercial bank migrated from Elasticsearch to Apache
Doris for PB-scale log storage and analytics",
- content: `By replacing Elasticsearch with Apache Doris, they have
saved 50% of resources while improving query speed by 2-4× and enjoying much
simpler operations and maintenance.`,
- to: 'https://www.velodb.io/blog/1410',
- image: 'blogs/top-commercial-bank.jpeg',
+ title: "From ClickHouse to Apache Doris: Powering Trillion-Log-Scale
Analytics at a Leading Music Streaming Service",
+ content: `A major music streaming platform successfully migrated its
massive 2PB log analytics from ClickHouse to Apache Doris, achieving up to 7x
faster searches, 30% lower P99 query latency, 2.5x higher concurrency, and
significant operational savings.`,
+ to: 'https://www.velodb.io/blog/1429',
+ image:
'blogs/from-clickhouse-to-doris-trillion-log-scale-analytics.jpg',
},
{
tags: ['Tech Sharing'],
- title: "Elasticsearch vs ClickHouse vs Apache Doris — which powers
observability better?",
- content: `A side-by-side comparison of observability solutions in
terms of performance, cost, usability, and ecosystem openness. This article
also introduces Apache Doris as a powerful observability solution, supported by
live demos and real-world user success stories.`,
- to: 'https://www.velodb.io/blog/1406',
- image: 'which-powers-observability-better.jpg',
+ title: "From Elasticsearch to Apache Doris: How a Leading Payment
Platform Upgraded its Financial Security Analytics, Boosting Queries by 56x",
+ content: `A leading payment platform, handling over 600 million daily
security events, replaced its Elasticsearch and Hudi stack with Apache Doris.
This move achieved up to 56x faster queries, 50% lower storage costs, and 58%
higher write throughput, while simplifying architecture and boosting developer
efficiency.`,
+ to: 'https://www.velodb.io/blog/1427',
+ image: 'blogs/from-elasticsearch-to-doris-boosting-queries-by-56x.jpg',
},
{
tags: ['Tech Sharing'],
- title: "Community Voice | Elasticsearch vs. Apache Doris",
- content: `Listen to what users say! Rahul Kolluri has provided a
detailed technical comparison between Elasticsearch and Apache Doris based on
real-world billing analytics scenarios. Based on his experience building
dashboards and backend APIs around AWS usage and billing data, he saw
Elasticsearch hit major limits when used for analytics.`,
- to:
'https://www.linkedin.com/posts/rahul-kolluri-352447191_rethinking-elasticsearch-for-analytics-activity-7333804955700473859-2-e4',
- image: 'apache-doris-vs-elasticsearch.jpg',
+ title: "Building Real-Time Lakehouse with Apache Doris: A Practical
Guide",
+ content: `The Lakehouse is a data management paradigm that combines
the advantages of data lakes and data warehouses. Apache Doris advances this
concept with its core philosophies of "Boundless Data, Seamless Lakehouse."
This article takes a deeper dive into its typical application scenarios to help
readers better understand and apply its capabilities.`,
+ to: 'https://www.velodb.io/blog/1428',
+ image: 'blogs/building-real-time-lakehouse-with-apache-doris.jpg',
},
{
tags: ['Tech Sharing'],
- title: "Community Voice | Apache Doris and DeepSeek: Redefining
Intelligent Data Analytics",
- content: `This article will focus on the in — depth integration of
Apache Doris and DeepSeek, and will analyze in detail its technical
implementation, optimization strategies, application scenarios, and future
trends. `,
- to:
'https://medium.com/%40xudarren1023/apache-doris-and-deepseek-redefining-intelligent-data-analytics-2b6b778e1034',
- image: 'blogs/doris-deepseek.jpg',
+ title: "EMQX now supports real-time data ingestion into Apache Doris
for efficient IoT analytics",
+ content: `Apache Doris data integration is an out-of-the-box feature
in EMQX, which enables complex business development through simple
configuration. In a typical IoT application, EMQX, as the IoT platform, is
responsible for device connection and transmitting messages. Apache Doris, as
the data storage platform, is responsible for storing device status and
metadata, as well as message data storage and data analysis. Using EMQX and
Apache Doris, users can build high-performance, [...]
+ to: 'https://www.velodb.io/blog/1412',
+ image: 'blogs/emqx-apache-doris-ecosystem-for-iot-analytics.png',
},
diff --git
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