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The following commit(s) were added to refs/heads/master by this push:
new d25bea48d51 Update Blog (#2391)
d25bea48d51 is described below
commit d25bea48d51b31972316f2775dabf424c4a47444
Author: KassieZ <[email protected]>
AuthorDate: Fri May 16 11:53:54 2025 +0800
Update Blog (#2391)
## Versions
- [ ] dev
- [ ] 3.0
- [ ] 2.1
- [ ] 2.0
## Languages
- [ ] Chinese
- [ ] English
## Docs Checklist
- [ ] Checked by AI
- [ ] Test Cases Built
---
...doris-supercharges-cisco-webex-data-platform.md | 146 ---------------------
blog/release-note-3.0.5.md | 2 +
docs/gettingStarted/what-is-apache-doris.md | 2 +-
src/constant/newsletter.data.ts | 16 +--
src/constant/users.data.json | 9 --
...ilures-and-higher-reliability-new-solutions.png | Bin 143611 -> 0 bytes
...oris-supercharges-cisco-webex-data-platform.jpg | Bin 302495 -> 0 bytes
.../less-failures-and-higher-reliability.png | Bin 145085 -> 0 bytes
...form-1.0-replace-Trino-Kyuubi-Pinot-Iceberg.png | Bin 68643 -> 0 bytes
.../cisco-webex/platform-2.0-Apache-Doris.png | Bin 68218 -> 0 bytes
.../unified-access-control-new-solution.png | Bin 71791 -> 0 bytes
.../unified-access-control-old-solution.png | Bin 281349 -> 0 bytes
.../unity-drives-efficiency-new-solution.png | Bin 101871 -> 0 bytes
.../unity-drives-efficiency-old-solution.png | Bin 310450 -> 0 bytes
.../gettingStarted/what-is-apache-doris.md | 2 +-
.../gettingStarted/what-is-apache-doris.md | 2 +-
.../gettingStarted/what-is-apache-doris.md | 2 +-
.../gettingStarted/what-is-apache-doris.md | 2 +-
18 files changed, 15 insertions(+), 168 deletions(-)
diff --git a/blog/doris-supercharges-cisco-webex-data-platform.md
b/blog/doris-supercharges-cisco-webex-data-platform.md
deleted file mode 100644
index 88bc2ec5b91..00000000000
--- a/blog/doris-supercharges-cisco-webex-data-platform.md
+++ /dev/null
@@ -1,146 +0,0 @@
----
-{
- 'title': 'How Apache Doris supercharges Cisco WebEx’s data platform',
- 'summary': 'Cisco runs five Doris clusters (dozens of nodes) for WebEx,
handling 100,000+ queries per day, and 5TB+ daily real-time data ingestion.',
- 'description': 'Cisco runs five Doris clusters (dozens of nodes) for
WebEx, handling 100,000+ queries per day, and 5TB+ daily real-time data
ingestion.',
- 'date': '2025-05-15',
- 'author': 'Apache Doris',
- 'tags': ['Best Practice'],
- 'picked': "true",
- 'order': "1",
- "image":
'/images/blogs/cisco-webex/doris-supercharges-cisco-webex-data-platform.jpg'
-}
----
-
-<!--
-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.
--->
-
-Cisco WebEx is one of the world’s leading real-time conferencing platforms. It
is trusted by over 95% of Fortune 500 companies and supports more than 1.5
million meetings daily.
-
-The growing user base and data volume drives WebEx to build a data platform
with stronger capabilities.
-
-It has replaced its complex, multi-system architecture (Trino, Pinot, Iceberg,
Kyuubi) with a unified solution based on **[Apache
Doris](https://doris.apache.org)**. Doris now powers both its data lakehouse
and query engine, improving performance and stability while reducing costs by
30%. This new architecture already supports critical projects in Cisco like CCA
Peak Ports, dashboards, and unified authentication.
-
-## Why Cisco turned to Apache Doris
-
-It all started with their old data architecture.
-
-### Platform 1.0: Trino, Kyuubi, Pinot, Iceberg
-
-Previously, WebEx used Kafka for data ingestion, a Unified Data Platform (UDP)
to schedule Spark and Flink jobs, and Iceberg for data management. Queries were
served by Trino and Kyuubi, while Pinot handled OLAP.
-
-
-
-While this setup worked, its complexity gave birth to issues like:
-
-- **Maintenance difficulty**: Maintaining multiple databases simultaneously
made operations complex and error-prone.
-- **Poor resource utilization**: Multiple systems led to data redundancy and
scattered query entry points, so CPU and memory were often underused or
inefficiently allocated.
-- **Data inconsistency**: Inconsistent calculations across different systems
produced conflicting results, which were frustrating.
-- **Data governance challenges**: The fragmented metadata sources and varied
formats made it difficult to ensure accuracy, consistency, and trust across the
platform.
-
-Given these challenges, the most urgent need for Cisco was to consolidate
their technology stack and reduce system complexity.
-
-### Platform 2.0: Apache Doris
-
-After evaluating several solutions, they found Apache Doris to be an ideal fit
because it offers data lakehouse capabilities through its
[Multi-Catalog](https://doris.apache.org/docs/lakehouse/lakehouse-overview#multi-catalog)
feature. Multi-Catalog enables unified analytics across diverse data sources
(including Hive, Iceberg, Hudi, Paimon, Elasticsearch, MySQL, Oracle, and SQL
Server) without physically centralizing the data.
-
-So they replace Apache Iceberg with Apache Doris as the data lakehouse, and
also use Doris as the unified analytics engine instead of the combination of
Trino, Kyuubi, and Pinot.
-
-
-
-Apache Doris can query data in place without moving it. This eliminates data
transfers and unlocks real-time analytics. The benefits are clear:
-
-- There are less dependency chains and integration overhead.
-- Complex ETL and Spark Load processes are replaced by Doris' [Routine
Load](https://doris.apache.org/docs/data-operate/import/import-way/routine-load-manual),
where Doris directly and continuously consumes data from Kafka.
-- A single Doris cluster now replaces multiple legacy systems, removing
redundant storage and improving CPU and memory utilization. **As a result,
infrastructure costs are cut by 30%.**
-- Fewer moving parts mean fewer points of failure. Simplified architecture
enhances system stability and reduces the burden on engineering teams.
-
-While we’ve covered the technical wins from the architecture overhaul, let’s
not forget that data architecture exists to serve the business. **So how has
this transformation actually moved the needle for Cisco’s business?**
-
-## Unity drives efficiency
-
-### Fresher data and faster report generation
-
-The CCA Peak Ports project in Cisco is designed to generate reconciliation
reports between WebEx and its partners based on the Peak Ports billing model.
-
-The Apache Doris–based transformation has simplified the data processing
pipeline. As a result:
-
-- **Data freshness: The report is updated the next day instead of two days
later.**
-- **Query performance: A report can be generated within 5 minutes instead of
10 minutes.**
-
-**Old solution**
-
-The old system relied on raw tables in an Oracle database as the data source.
A series of stored procedures were executed to generate intermediate results.
Then, a scheduled task written in Java further processed these intermediate
results and wrote the final output to a Kafka message queue. Finally, a Spark
job synchronized the data from Kafka to Iceberg to provide report services.
-
-
-
-
-**New solution**
-
-All data is pre-stored in Kafka. Then, using the [Doris Kafka
Connector](https://doris.apache.org/docs/ecosystem/doris-kafka-connector) and
[Routine
Load](https://doris.apache.org/docs/data-operate/import/import-way/routine-load-manual),
data is directly ingested from Kafka topics into Doris, where it is integrated
into detailed tables to form the DWD (Data Warehouse Detail) layer.
Pre-scheduled Spark jobs then perform deep analysis and transformation on the
DWD data. The final results a [...]
-
-
-
-### Less failures and higher reliability
-
-Cisco designs a dashboard system to provide an overview of data governance,
with a particular focus on the WebEx data asset landscape and related
analytical metrics. It serves as a data foundation to support business
decision-making for the management team.
-
-**Old solution**
-
-In the early stages of the data governance platform, the system relied on
scheduled Spark jobs to extract data for schema analysis and lineage analysis.
The results were then sent to Kafka, and subsequently ingested in real time by
Pinot for further processing and visualization. However, data exchange and
synchronization across multiple components led to additional overhead and
latency.
-
-
-
-**New solution**
-
-Pinot is replaced by Apache Doris. Leveraging the Multi-Catalog capability in
Apache Doris, data is extracted from each engine through scheduled Doris tasks,
and then written into primary key tables and aggregate tables.
-
-This approach eliminates the need to maintain 11 separate Spark jobs, allowing
the entire data pipeline to be created and managed within Doris.
-
-In addition, the new architecture reduces dependency on CPU and memory
resources previously required by the UDP, avoiding job failures caused by
occasional resource constraints. Compared to Pinot, Doris consistently consumes
fewer resources for the same queries, thereby improving reliability and
stability of results.
-
-
-
-### Unified access control: one platform instead of three
-
-**Old solution**
-
-In the early authentication and authorization setup, problems exist such as
fragmented query entry points and varying query complexity across users. This
not only led to inefficient resource utilization, but also increased the risk
of resource-intensive queries degrading the performance of others.
-
-From the user’s perspective, additional friction came from the need to manage
connections across multiple systems, each with inconsistent password update
cycles. As a result, users frequently had to reapply for authentication and
authorization, consuming significant time and effort.
-
-
-
-**New solution**
-
-The new system adopts Doris as a unified query service and enables centralized
data access across multiple engines, including Trino, Iceberg, and Pinot.
-
-To enhance usability, a Querybook service was introduced for all users,
providing a consistent interface for querying data from the data lake.
Additionally, a unified authentication and authorization service, Web Auth, was
built on top of Apache Ranger, and integrated with Doris for seamless access
control.
-
-Previously, users and administrators had to request and approve permissions
across three separate platforms (LDAP, Ranger, and the database). Now, access
is managed centrally through WAP Auth.
-
-Furthermore, a SQL Ruleset Module was developed within Web Auth to synchronize
rule definitions with Doris. This enables interception of high-risk SQL
queries, helping prevent potential resource abuse.
-
-
-
-## Use case summary
-
-Cisco currently operates **five Doris clusters** with **dozens of nodes** for
its WebEx data platform, which supports an average of over **100,000 queries
per day** for online services, with daily real-time data ingestion reaching
more than **5TB**.
-
-The adoption of Doris has not only contributed to cost reduction and
efficiency gains, but has also driven broader exploration in the platform’s
architecture and business expansion strategy. These include gradually migrating
more business and application-layer workloads from their old data lakehouse
into Doris, replacing self-managed analytic storage solutions such as TiDB and
Kylin with Doris, and exploring emerging use cases such as AI on Doris and
Doris on Paimon.
-
-If you're looking to integrate Apache Doris into your data architecture and
leverage its powerful capabilities, [join the
community](https://join.slack.com/t/apachedoriscommunity/shared_invite/zt-2gmq5o30h-455W226d79zP3L96ZhXIoQ)
for discussions, advice, and technical support!
\ No newline at end of file
diff --git a/blog/release-note-3.0.5.md b/blog/release-note-3.0.5.md
index 5fcf1d02a70..0a752244a87 100644
--- a/blog/release-note-3.0.5.md
+++ b/blog/release-note-3.0.5.md
@@ -6,6 +6,8 @@
'date': '2025-04-28',
'author': 'Apache Doris',
'tags': ['Release Notes'],
+ 'picked': "true",
+ 'order': "1",
"image": '/images/3.0.5.jpeg'
}
---
diff --git a/docs/gettingStarted/what-is-apache-doris.md
b/docs/gettingStarted/what-is-apache-doris.md
index 0290c9d3d96..9d0c849dff9 100644
--- a/docs/gettingStarted/what-is-apache-doris.md
+++ b/docs/gettingStarted/what-is-apache-doris.md
@@ -31,7 +31,7 @@ Apache Doris is an MPP-based real-time data warehouse known
for its high query s
Apache Doris, formerly known as Palo, was initially created to support Baidu's
ad reporting business. It was officially open-sourced in 2017 and donated by
Baidu to the Apache Software Foundation in July 2018, where it was operated by
members of the incubator project management committee under the guidance of
Apache mentors. In June 2022, Apache Doris graduated from the Apache incubator
as a Top-Level Project. By 2024, the Apache Doris community has gathered more
than 600 contributors fr [...]
-Apache Doris has a wide user base. It has been used in production environments
of over 4000 companies worldwide, including giants such as TikTok, Baidu,
Cisco, Tencent, and NetEase. It is also widely used across industries from
finance, retailing, and telecommunications to energy, manufacturing, medical
care, etc.
+Apache Doris has a wide user base. It has been used in production environments
of over 4000 companies worldwide, including giants such as TikTok, Baidu,
Tencent, and NetEase. It is also widely used across industries from finance,
retailing, and telecommunications to energy, manufacturing, medical care, etc.
## Usage Scenarios
diff --git a/src/constant/newsletter.data.ts b/src/constant/newsletter.data.ts
index 4b3da9c6ef8..85be2fed3d2 100644
--- a/src/constant/newsletter.data.ts
+++ b/src/constant/newsletter.data.ts
@@ -1,11 +1,4 @@
export const NEWSLETTER_DATA = [
- {
- tags: ['Best Practice'],
- title: "How Apache Doris supercharges Cisco WebEx’s data platform",
- content: `Cisco runs five Doris clusters (dozens of nodes) for WebEx,
handling 100,000+ queries per day, and 5TB+ daily real-time data ingestion.`,
- to: '/blog/doris-supercharges-cisco-webex-data-platform',
- image:
'blogs/cisco-webex/doris-supercharges-cisco-webex-data-platform.jpg',
- },
{
tags: ['Release Note'],
title: "Apache Doris 3.0.5 Released",
@@ -25,7 +18,14 @@ export const NEWSLETTER_DATA = [
content: `Apache Doris compute-storage decoupled mode achieves 90%
cost reduction and provides elasticity and workload isolation, while
maintaining high performance in data ingestion and queries.`,
to: '/blog/doris-compute-storage-decoupled',
image: 'compute-storage-decoupled-banner.jpg',
- }
+ },
+ {
+ tags: ['Tech Sharing'],
+ title: "Why Apache Doris is a Better Alternative to Elasticsearch for
Real-Time Analytics",
+ content: `Apache Doris is a real-time data warehouse commonly used for
observability, cyber security analysis, online reports, customer profiles, data
lakehouse and more. Elasticsearch is more like a search engine, but it is also
widely used for data analytics, so there's an overlap in their use cases. The
comparison in this post will focus on the real-time analytics capabilities of
Apache Doris and Elasticsearch from a user-oriented perspective`,
+ to:
'/blog/why-apache-doris-is-best-alternatives-for-real-time-analytics',
+ image: 'es-alternatives/Alternative-to-Elasticsearch.jpg',
+ },
];
\ No newline at end of file
diff --git a/src/constant/users.data.json b/src/constant/users.data.json
index db462439b36..d910f5c8905 100644
--- a/src/constant/users.data.json
+++ b/src/constant/users.data.json
@@ -818,15 +818,6 @@
"to": null,
"image": "/images/user-logo/Telecom & Manufacturing/CTYun.jpg"
},
- {
- "story": "Cisco is a multinational technology conglomerate specialized
in networking solutions. It enables seamless connectivity, digital
transformation and secure communications for businesses and organizations
worldwide.",
- "name": "Cisco",
- "category": "Telecom & Manufacturing",
- "logo": "Cisco",
- "order": 102,
- "to": null,
- "image": "/images/user-logo/Telecom & Manufacturing/Cisco.jpg"
- },
{
"story": "ZTE expertise in 5G technology, networking and mobile
devices, offering innovative solutions that drive connectivity and digital
transformation in the telecommunications industry.",
"name": "ZTE",
diff --git
a/static/images/blogs/cisco-webex/Less-failures-and-higher-reliability-new-solutions.png
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index 3aeef4ca522..00000000000
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and /dev/null differ
diff --git
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diff --git
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and /dev/null differ
diff --git a/static/images/blogs/cisco-webex/platform-2.0-Apache-Doris.png
b/static/images/blogs/cisco-webex/platform-2.0-Apache-Doris.png
deleted file mode 100644
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and /dev/null differ
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index 8a915161dee..00000000000
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/dev/null differ
diff --git
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b/static/images/blogs/cisco-webex/unity-drives-efficiency-new-solution.png
deleted file mode 100644
index 63710d1a064..00000000000
Binary files
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/dev/null differ
diff --git
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deleted file mode 100644
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diff --git a/versioned_docs/version-1.2/gettingStarted/what-is-apache-doris.md
b/versioned_docs/version-1.2/gettingStarted/what-is-apache-doris.md
index 9e561282851..b3d0291a420 100644
--- a/versioned_docs/version-1.2/gettingStarted/what-is-apache-doris.md
+++ b/versioned_docs/version-1.2/gettingStarted/what-is-apache-doris.md
@@ -27,7 +27,7 @@ Apache Doris is an MPP-based real-time data warehouse known
for its high query s
Apache Doris, formerly known as Palo, was initially created to support Baidu's
ad reporting business. It was officially open-sourced in 2017 and donated by
Baidu to the Apache Software Foundation in July 2018, where it was operated by
members of the incubator project management committee under the guidance of
Apache mentors. In June 2022, Apache Doris graduated from the Apache incubator
as a Top-Level Project. By 2024, the Apache Doris community has gathered more
than 600 contributors fr [...]
-Apache Doris has a wide user base. It has been used in production environments
of over 4000 companies worldwide, including giants such as TikTok, Baidu,
Cisco, Tencent, and NetEase. It is also widely used across industries from
finance, retailing, and telecommunications to energy, manufacturing, medical
care, etc.
+Apache Doris has a wide user base. It has been used in production environments
of over 4000 companies worldwide, including giants such as TikTok, Baidu,
Tencent, and NetEase. It is also widely used across industries from finance,
retailing, and telecommunications to energy, manufacturing, medical care, etc.
## Usage Scenarios
diff --git a/versioned_docs/version-2.0/gettingStarted/what-is-apache-doris.md
b/versioned_docs/version-2.0/gettingStarted/what-is-apache-doris.md
index e07d3f5ee76..a37e442149a 100644
--- a/versioned_docs/version-2.0/gettingStarted/what-is-apache-doris.md
+++ b/versioned_docs/version-2.0/gettingStarted/what-is-apache-doris.md
@@ -27,7 +27,7 @@ Apache Doris is an MPP-based real-time data warehouse known
for its high query s
Apache Doris, formerly known as Palo, was initially created to support Baidu's
ad reporting business. It was officially open-sourced in 2017 and donated by
Baidu to the Apache Software Foundation in July 2018, where it was operated by
members of the incubator project management committee under the guidance of
Apache mentors. In June 2022, Apache Doris graduated from the Apache incubator
as a Top-Level Project. By 2024, the Apache Doris community has gathered more
than 600 contributors fr [...]
-Apache Doris has a wide user base. It has been used in production environments
of over 4000 companies worldwide, including giants such as TikTok, Baidu,
Cisco, Tencent, and NetEase. It is also widely used across industries from
finance, retailing, and telecommunications to energy, manufacturing, medical
care, etc.
+Apache Doris has a wide user base. It has been used in production environments
of over 4000 companies worldwide, including giants such as TikTok, Baidu,
Tencent, and NetEase. It is also widely used across industries from finance,
retailing, and telecommunications to energy, manufacturing, medical care, etc.
## Usage Scenarios
diff --git a/versioned_docs/version-2.1/gettingStarted/what-is-apache-doris.md
b/versioned_docs/version-2.1/gettingStarted/what-is-apache-doris.md
index 5d77d5bb775..15b97a748db 100644
--- a/versioned_docs/version-2.1/gettingStarted/what-is-apache-doris.md
+++ b/versioned_docs/version-2.1/gettingStarted/what-is-apache-doris.md
@@ -31,7 +31,7 @@ Apache Doris is an MPP-based real-time data warehouse known
for its high query s
Apache Doris, formerly known as Palo, was initially created to support Baidu's
ad reporting business. It was officially open-sourced in 2017 and donated by
Baidu to the Apache Software Foundation in July 2018, where it was operated by
members of the incubator project management committee under the guidance of
Apache mentors. In June 2022, Apache Doris graduated from the Apache incubator
as a Top-Level Project. By 2024, the Apache Doris community has gathered more
than 600 contributors fr [...]
-Apache Doris has a wide user base. It has been used in production environments
of over 4000 companies worldwide, including giants such as TikTok, Baidu,
Cisco, Tencent, and NetEase. It is also widely used across industries from
finance, retailing, and telecommunications to energy, manufacturing, medical
care, etc.
+Apache Doris has a wide user base. It has been used in production environments
of over 4000 companies worldwide, including giants such as TikTok, Baidu,
Tencent, and NetEase. It is also widely used across industries from finance,
retailing, and telecommunications to energy, manufacturing, medical care, etc.
## Usage Scenarios
diff --git a/versioned_docs/version-3.0/gettingStarted/what-is-apache-doris.md
b/versioned_docs/version-3.0/gettingStarted/what-is-apache-doris.md
index cfb4ca19ad1..985302b320a 100644
--- a/versioned_docs/version-3.0/gettingStarted/what-is-apache-doris.md
+++ b/versioned_docs/version-3.0/gettingStarted/what-is-apache-doris.md
@@ -31,7 +31,7 @@ Apache Doris is an MPP-based real-time data warehouse known
for its high query s
Apache Doris, formerly known as Palo, was initially created to support Baidu's
ad reporting business. It was officially open-sourced in 2017 and donated by
Baidu to the Apache Software Foundation in July 2018, where it was operated by
members of the incubator project management committee under the guidance of
Apache mentors. In June 2022, Apache Doris graduated from the Apache incubator
as a Top-Level Project. By 2024, the Apache Doris community has gathered more
than 600 contributors fr [...]
-Apache Doris has a wide user base. It has been used in production environments
of over 4000 companies worldwide, including giants such as TikTok, Baidu,
Cisco, Tencent, and NetEase. It is also widely used across industries from
finance, retailing, and telecommunications to energy, manufacturing, medical
care, etc.
+Apache Doris has a wide user base. It has been used in production environments
of over 4000 companies worldwide, including giants such as TikTok, Baidu,
Tencent, and NetEase. It is also widely used across industries from finance,
retailing, and telecommunications to energy, manufacturing, medical care, etc.
## Usage Scenarios
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