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new e87b3ac181d [refactor](next) update user logo (#3757)
e87b3ac181d is described below
commit e87b3ac181d41e707428850303059329312c5420
Author: Mingyu Chen (Rayner) <[email protected]>
AuthorDate: Sun May 24 16:46:56 2026 -0700
[refactor](next) update user logo (#3757)
---
src/components/home-next/HomeNext.tsx | 2 +
.../home-next/sections/DeploymentSection.scss | 15 +-
.../home-next/sections/StatsSection.scss | 162 ++++----
src/components/home-next/sections/StatsSection.tsx | 418 ++++++++++++++++-----
static/images/next/home-page/cs-coupled.jpg | Bin 146534 -> 157549 bytes
static/images/next/home-page/cs-decoupled.jpg | Bin 189461 -> 217999 bytes
.../next/user-logos/advance-intelligence.svg | 7 +
static/images/next/user-logos/anta.svg | 1 +
static/images/next/user-logos/ave-ai.svg | 1 +
static/images/next/user-logos/baidu.svg | 1 +
static/images/next/user-logos/byd.svg | 4 +
static/images/next/user-logos/cainiao.svg | 1 +
static/images/next/user-logos/ford.svg | 4 +
static/images/next/user-logos/goldwind.svg | 26 ++
static/images/next/user-logos/horizon-robotics.svg | 30 ++
static/images/next/user-logos/jd.svg | 10 +
static/images/next/user-logos/kwai.svg | 11 +
static/images/next/user-logos/li-ning.svg | 1 +
static/images/next/user-logos/luckin-coffee.svg | 33 ++
static/images/next/user-logos/meituan.svg | 13 +
static/images/next/user-logos/mihoyo.svg | 10 +
static/images/next/user-logos/minimax.svg | 7 +
static/images/next/user-logos/miniso.svg | 1 +
static/images/next/user-logos/netease.svg | 1 +
static/images/next/user-logos/samsung.svg | 31 ++
static/images/next/user-logos/sf-express.svg | 1 +
static/images/next/user-logos/suzuki.svg | 10 +
static/images/next/user-logos/talkie.svg | 9 +
static/images/next/user-logos/tencent-music.svg | 16 +
static/images/next/user-logos/true-watch.svg | 15 +
static/images/next/user-logos/xiaomi.svg | 4 +
static/images/next/user-logos/xtep.svg | 22 ++
static/images/next/user-logos/zhipu-ai.svg | 1 +
static/images/next/user-logos/zto.svg | 6 +
34 files changed, 685 insertions(+), 189 deletions(-)
diff --git a/src/components/home-next/HomeNext.tsx
b/src/components/home-next/HomeNext.tsx
index 508e01ea35a..6cfee20ae69 100644
--- a/src/components/home-next/HomeNext.tsx
+++ b/src/components/home-next/HomeNext.tsx
@@ -6,6 +6,7 @@ import { UseCasesSection } from './sections/UseCasesSection';
import { EcosystemSection } from './sections/EcosystemSection';
import { DeploymentSection } from './sections/DeploymentSection';
import { CommunitySection } from './sections/CommunitySection';
+import { StatsSection } from './sections/StatsSection';
import './HomeNext.scss';
export default function HomeNext(): JSX.Element {
@@ -16,6 +17,7 @@ export default function HomeNext(): JSX.Element {
>
<HeroSection />
<UseCasesSection />
+ <StatsSection />
<FeaturesSection />
<EcosystemSection />
<DeploymentSection />
diff --git a/src/components/home-next/sections/DeploymentSection.scss
b/src/components/home-next/sections/DeploymentSection.scss
index e92e35b1b25..40498621d28 100644
--- a/src/components/home-next/sections/DeploymentSection.scss
+++ b/src/components/home-next/sections/DeploymentSection.scss
@@ -174,15 +174,14 @@
&__visual-image {
position: relative;
- width: auto;
- height: min(100%, 312px);
- max-width: 100%;
+ width: 100%;
+ max-width: 624px;
+ height: auto;
max-height: 100%;
display: block;
border: 2px solid var(--dn-cream-light);
border-radius: 8px;
box-sizing: border-box;
- object-fit: contain;
}
&__card--ink &__visual {
@@ -271,10 +270,6 @@
min-height: 230px;
padding: 20px;
}
-
- &__visual-image {
- height: min(100%, 190px);
- }
}
}
@@ -319,10 +314,6 @@
min-height: 180px;
padding: 16px;
}
-
- &__visual-image {
- height: min(100%, 148px);
- }
}
}
diff --git a/src/components/home-next/sections/StatsSection.scss
b/src/components/home-next/sections/StatsSection.scss
index 963ef1e2348..2a7447ce4b7 100644
--- a/src/components/home-next/sections/StatsSection.scss
+++ b/src/components/home-next/sections/StatsSection.scss
@@ -1,7 +1,7 @@
@use '../../shared/typography' as type;
.stats-next {
- --stats-next-bg: #057657;
+ --stats-next-bg: #F5EFE4;
--stats-next-content-edge: max(56px, calc((100vw - 1280px) / 2 + 56px));
--stats-next-tile-width: 176px;
--stats-next-tile-height: 40px;
@@ -10,10 +10,10 @@
position: relative;
width: 100%;
- height: 80px;
+ height: 168px;
background: var(--stats-next-bg);
- border-top: 1px solid rgba(245, 239, 228, 0.08);
- border-bottom: 1px solid rgba(245, 239, 228, 0.08);
+ border-top: 1px solid rgba(15, 26, 20, 0.08);
+ border-bottom: 1px solid rgba(15, 26, 20, 0.08);
overflow: visible;
z-index: 20;
@@ -21,24 +21,52 @@
content: '';
position: absolute;
inset: 0;
- background-image: radial-gradient(rgba(245, 239, 228, 0.06) 1px,
transparent 1px);
+ background-image: radial-gradient(rgba(15, 26, 20, 0.07) 1px,
transparent 1px);
background-size: 22px 22px;
mask-image: linear-gradient(90deg, transparent, #000 8%, #000 92%,
transparent);
-webkit-mask-image: linear-gradient(90deg, transparent, #000 8%, #000
92%, transparent);
pointer-events: none;
}
+ &__eyebrow {
+ position: absolute;
+ top: 16px;
+ left: var(--stats-next-content-edge);
+ z-index: 5;
+ margin: 0;
+ padding: 6px 14px;
+ border: 1px solid rgba(15, 26, 20, 0.18);
+ border-radius: 999px;
+ background: rgba(255, 255, 255, 0.55);
+ backdrop-filter: blur(6px);
+ -webkit-backdrop-filter: blur(6px);
+ color: rgba(15, 26, 20, 0.72);
+ @include type.micro-label;
+ white-space: nowrap;
+ pointer-events: none;
+ }
+
&__viewport {
position: absolute;
right: var(--stats-next-content-edge);
- top: 50%;
left: var(--stats-next-content-edge);
z-index: 3;
height: 44px;
- transform: translateY(-50%);
overflow: visible;
clip-path: inset(-180px 0 -180px 0);
+ &--row1 {
+ top: 50px;
+ }
+
+ &--row2 {
+ bottom: 14px;
+ }
+
+ &--active {
+ z-index: 50;
+ }
+
&::before,
&::after {
content: '';
@@ -48,6 +76,7 @@
z-index: 4;
width: 96px;
pointer-events: none;
+ transition: opacity 0.25s ease;
}
&::before {
@@ -61,6 +90,11 @@
}
}
+ &:has(&__viewport--active) &__viewport::before,
+ &:has(&__viewport--active) &__viewport::after {
+ opacity: 0;
+ }
+
&__track {
display: flex;
align-items: center;
@@ -74,6 +108,10 @@
z-index: 1;
}
+ &__track--row2 {
+ animation-direction: reverse;
+ }
+
&:hover &__track,
&:focus-within &__track {
animation-play-state: paused;
@@ -94,7 +132,6 @@
height: var(--stats-next-tile-height);
overflow: hidden;
border-radius: var(--stats-next-tile-radius);
- background: #ffffff;
box-shadow: 0 12px 24px -20px rgba(0, 0, 0, 0.35);
cursor: pointer;
outline: none;
@@ -120,6 +157,7 @@
height: 320px;
padding: 0;
border-radius: 14px;
+ background: #FFFFFF;
box-shadow:
0 1px 0 rgba(255, 255, 255, 0.5) inset,
0 24px 48px -12px rgba(0, 0, 0, 0.45),
@@ -147,12 +185,12 @@
transform: translateZ(0);
img {
display: block;
- max-width: 100%;
- max-height: 36px;
+ max-width: 80%;
+ max-height: 30px;
object-fit: contain;
user-select: none;
border-radius: inherit;
- transform: scale(1.35);
+ transform: scale(var(--logo-scale, 1));
transform-origin: center;
}
}
@@ -185,28 +223,6 @@
min-width: 0;
}
- &__card-mark {
- display: flex;
- flex: 0 0 auto;
- align-items: center;
- justify-content: center;
- width: 52px;
- height: 36px;
- padding: 5px 7px;
- border-radius: 8px;
- background: #F5EFE4;
- box-shadow: 0 1px 0 rgba(255, 255, 255, 0.8) inset;
-
- img {
- display: block;
- max-width: 100%;
- max-height: 100%;
- object-fit: contain;
- user-select: none;
- border-radius: inherit;
- }
- }
-
&__card-name {
min-width: 0;
overflow: hidden;
@@ -216,8 +232,29 @@
white-space: nowrap;
}
- &__card-description {
+ &__card-about {
+ margin: 0;
+ overflow: hidden;
+ color: rgba(15, 26, 20, 0.85);
+ @include type.small-copy;
+ }
+
+ &__card-usecase {
+ display: flex;
+ flex-direction: column;
+ gap: 6px;
flex: 1;
+ min-height: 0;
+ padding-top: 12px;
+ border-top: 1px dashed rgba(15, 26, 20, 0.18);
+ }
+
+ &__card-usecase-label {
+ color: rgba(15, 26, 20, 0.5);
+ @include type.micro-label;
+ }
+
+ &__card-usecase-text {
margin: 0;
overflow: hidden;
color: rgba(15, 26, 20, 0.78);
@@ -226,40 +263,15 @@
&__card-tag {
margin-left: auto;
- max-width: 112px;
+ flex: 0 0 auto;
padding: 3px 7px;
- overflow: hidden;
border: 1px solid rgba(11, 122, 88, 0.25);
border-radius: 3px;
background: rgba(11, 122, 88, 0.05);
color: #0B7A58;
@include type.micro-label;
- text-overflow: ellipsis;
white-space: nowrap;
}
-
- &__card-meta {
- display: grid;
- grid-template-columns: 1fr 1fr;
- gap: 10px;
- padding-top: 10px;
- border-top: 1px dashed rgba(15, 26, 20, 0.18);
- font-family: type.$font-mono;
- }
-
- &__card-meta-label {
- display: block;
- margin-bottom: 3px;
- color: rgba(15, 26, 20, 0.5);
- @include type.micro-label;
- }
-
- &__card-meta-value {
- display: block;
- overflow: hidden;
- color: #0B7A58;
- @include type.mono-text(13px, 700, 1.25, 0);
- }
}
.stats-next.stats-next--compact {
@@ -299,10 +311,11 @@
}
.stats-next__card-logo img {
- max-height: 72px;
+ max-width: 82%;
+ max-height: 48px;
object-fit: contain;
border-radius: inherit;
- transform: scale(1.45);
+ transform: scale(var(--logo-scale, 1));
transform-origin: center;
}
}
@@ -324,17 +337,24 @@
--stats-next-tile-width: 148px;
--stats-next-tile-height: 66px;
- height: 112px;
+ height: 144px;
&__viewport {
- bottom: 16px;
- top: auto;
right: 20px;
left: 20px;
height: 72px;
transform: none;
}
+ &__viewport--row1 {
+ top: 56px;
+ bottom: auto;
+ }
+
+ &__viewport--row2 {
+ display: none;
+ }
+
&__track {
gap: 16px;
padding: 0 8px;
@@ -366,19 +386,11 @@
padding: 18px;
}
- &__card-mark {
- width: 46px;
- height: 32px;
- }
-
- &__card-description {
+ &__card-about,
+ &__card-usecase-text {
font-size: 12.5px;
line-height: 1.45;
}
-
- &__card-tag {
- max-width: 86px;
- }
}
}
diff --git a/src/components/home-next/sections/StatsSection.tsx
b/src/components/home-next/sections/StatsSection.tsx
index d552b36937b..f8fbf68b97b 100644
--- a/src/components/home-next/sections/StatsSection.tsx
+++ b/src/components/home-next/sections/StatsSection.tsx
@@ -6,122 +6,324 @@ interface UserLogo {
name: string;
file: string;
category: string;
+ about: string;
description: string;
metric: string;
metricLabel: string;
+ scale?: number;
}
const USER_LOGOS: UserLogo[] = [
- {
- id: 'bytedance',
- name: 'ByteDance',
- file: 'Technology/ByteDance.jpg',
- category: 'Technology',
- description: 'Uses Apache Doris for high-concurrency user behavior
analytics and real-time reporting across product teams.',
- metric: 'Sub-second',
- metricLabel: 'Dashboard queries',
- },
{
id: 'xiaomi',
+ about: 'Xiaomi is a global top-three smartphone maker and a leading
consumer-electronics and smart-home brand, with growing reach into electric
vehicles.',
name: 'Xiaomi',
- file: 'Technology/Xiaomi.jpg',
+ file: 'xiaomi.svg',
category: 'Technology',
description: 'Runs interactive analytics on device, app, and service
data so operations teams can monitor business health live.',
metric: 'Real-time',
metricLabel: 'Operations insight',
+ scale: 1.2,
},
{
id: 'baidu',
+ about: "Baidu is China's largest search engine and a leading AI
company, powering products from ERNIE large language models to Apollo
autonomous driving.",
name: 'Baidu',
- file: 'Technology/Baidu.jpg',
+ file: 'baidu.svg',
category: 'Technology',
description: 'Powers large-scale log analytics and ad-hoc SQL
exploration for engineering and platform observability workflows.',
metric: 'Billions',
metricLabel: 'Events analyzed',
+ scale: 1.6,
+ },
+ {
+ id: 'samsung',
+ about: "Samsung is the world's largest electronics manufacturer,
leading in smartphones, memory chips, displays, and home appliances across more
than 70 countries.",
+ name: 'Samsung',
+ file: 'samsung.svg',
+ category: 'Technology',
+ description: 'Uses Apache Doris for device telemetry and service
analytics across consumer electronics product lines.',
+ metric: 'Global',
+ metricLabel: 'Device analytics',
+ scale: 0.9,
},
{
id: 'jd',
+ about: "JD.com is China's largest retailer by revenue and a Fortune
Global 500 top-50 company, operating one of the world's most extensive
self-built logistics networks.",
name: 'JD.com',
- file: 'Technology/JD.com.jpg',
- category: 'Technology',
+ file: 'jd.svg',
+ category: 'E-commerce',
description: 'Serves retail analytics for order, inventory, and
marketing data with fast SQL access for business users.',
metric: 'Unified',
metricLabel: 'Retail analytics',
},
{
- id: 'tencent',
- name: 'Tencent',
- file: 'Technology/Tencent.jpg',
- category: 'Technology',
- description: 'Uses Doris for fast aggregation over game, media, and
cloud service data in shared analytics platforms.',
+ id: 'meituan',
+ about: "Meituan is China's largest local-services platform, connecting
hundreds of millions of users with food delivery, travel, and on-demand retail
every day.",
+ name: 'Meituan',
+ file: 'meituan.svg',
+ category: 'Internet Services',
+ description: 'Runs city-scale business analytics over orders,
merchants, riders, and user activity for live decision support.',
+ metric: 'City-scale',
+ metricLabel: 'Business data',
+ },
+ {
+ id: 'netease',
+ about: "NetEase is China's second-largest gaming company and a major
internet group spanning hit titles, music streaming, education, and intelligent
enterprise services.",
+ name: 'NetEase',
+ file: 'netease.svg',
+ category: 'Internet Services',
+ description: 'Uses Apache Doris for game and content analytics,
helping teams inspect live metrics without long batch delays.',
+ metric: 'Live',
+ metricLabel: 'Content metrics',
+ scale: 1.4,
+ },
+ {
+ id: 'tencent-music',
+ about: "Tencent Music Entertainment is China's leading online music
and audio platform, reaching over 500 million monthly users across QQ Music,
Kugou, and Kuwo.",
+ name: 'Tencent Music',
+ file: 'tencent-music.svg',
+ category: 'Media',
+ description: 'Uses Doris for fast aggregation over user listening,
content, and engagement data to power live music analytics.',
metric: 'High QPS',
- metricLabel: 'Service analytics',
+ metricLabel: 'Music analytics',
+ scale: 0.9,
+ },
+ {
+ id: 'kwai',
+ about: "Kuaishou is one of the world's largest short-video and
live-streaming platforms, with more than 700 million monthly active users
across China and its international Kwai app.",
+ name: 'Kwai',
+ file: 'kwai.svg',
+ category: 'Media',
+ description: 'Powers short-video content and creator analytics with
sub-second response over massive engagement event streams.',
+ metric: 'Massive',
+ metricLabel: 'Engagement events',
+ },
+ {
+ id: 'mihoyo',
+ about: 'miHoYo, known globally as HoYoverse, is a leading game studio
behind blockbuster franchises Genshin Impact, Honkai Star Rail, and Zenless
Zone Zero.',
+ name: 'miHoYo',
+ file: 'mihoyo.svg',
+ category: 'Gaming',
+ description: 'Analyzes player behavior, in-game economy, and live
operations data with Doris for fast iteration.',
+ metric: 'Player-level',
+ metricLabel: 'Game analytics',
+ },
+ {
+ id: 'luckin-coffee',
+ about: "Luckin Coffee is the world's largest coffee chain by store
count, with more than 31,000 outlets serving tens of millions of daily
customers.",
+ name: 'Luckin Coffee',
+ file: 'luckin-coffee.svg',
+ category: 'Retail',
+ description: 'Uses Doris for store, order, and membership analytics to
track campaign performance across thousands of outlets.',
+ metric: 'Store-level',
+ metricLabel: 'Retail insights',
+ scale: 1.5,
+ },
+ {
+ id: 'miniso',
+ about: 'MINISO is a fast-growing global lifestyle and IP retailer,
operating over 8,000 stores across more than 110 countries and regions
worldwide.',
+ name: 'MINISO',
+ file: 'miniso.svg',
+ category: 'Retail',
+ description: 'Powers SKU-level sales, inventory, and supply-chain
reporting across global retail operations.',
+ metric: 'SKU-level',
+ metricLabel: 'Sales reporting',
+ scale: 1.15,
+ },
+ {
+ id: 'sf-express',
+ about: 'SF Express is the largest integrated logistics provider in
China and Asia, and ranks among the top four globally by revenue.',
+ name: 'SF Express',
+ file: 'sf-express.svg',
+ category: 'Logistics',
+ description: 'Tracks shipment, route, and operations data in near
real-time to support nationwide express delivery.',
+ metric: 'Nationwide',
+ metricLabel: 'Shipment tracking',
+ scale: 1.2,
+ },
+ {
+ id: 'zto',
+ about: "ZTO Express is China's largest express delivery company by
parcel volume, handling more than 34 billion parcels annually and leading the
market for nine consecutive years.",
+ name: 'ZTO Express',
+ file: 'zto.svg',
+ category: 'Logistics',
+ description: 'Uses Doris for parcel flow, sorting hub, and last-mile
analytics across the express delivery network.',
+ metric: 'Network-wide',
+ metricLabel: 'Parcel analytics',
+ scale: 0.8,
+ },
+ {
+ id: 'cainiao',
+ about: "Cainiao is Alibaba's global smart-logistics arm and a top-tier
cross-border parcel network, serving e-commerce and supply-chain customers in
more than 200 countries.",
+ name: 'Cainiao',
+ file: 'cainiao.svg',
+ category: 'Logistics',
+ description: 'Analyzes warehouse, route, and cross-border logistics
data to optimize fulfillment operations.',
+ metric: 'Cross-border',
+ metricLabel: 'Logistics insight',
},
{
- id: 'nio',
- name: 'NIO',
- file: 'Telecom & Manufacturing/NIO.jpg',
- category: 'Manufacturing',
- description: 'Analyzes connected vehicle telemetry and service data to
support fleet monitoring and product quality workflows.',
- metric: 'Streaming',
+ id: 'ford',
+ about: "Ford Motor Company is one of the world's largest automakers,
building iconic vehicles like the F-Series pickup, Mustang, and a growing
lineup of electric models.",
+ name: 'Ford',
+ file: 'ford.svg',
+ category: 'Automotive',
+ description: 'Builds unified analytics over vehicle, dealer, and
service data to support connected mobility programs.',
+ metric: 'Connected',
+ metricLabel: 'Vehicle data',
+ scale: 1.15,
+ },
+ {
+ id: 'byd',
+ about: "BYD is the world's largest electric-vehicle maker and a
top-tier lithium-battery manufacturer, outselling Tesla globally and shipping
millions of EVs and hybrids each year.",
+ name: 'BYD',
+ file: 'byd.svg',
+ category: 'Automotive',
+ description: 'Powers EV telemetry, supply chain, and after-sales
analytics with fast SQL access for product teams.',
+ metric: 'EV-scale',
metricLabel: 'Telemetry data',
+ scale: 0.9,
},
{
- id: 'lenovo',
- name: 'Lenovo',
- file: 'Telecom & Manufacturing/Lenovo.jpg',
- category: 'Manufacturing',
- description: 'Builds fast operational analytics over supply chain,
service, and device lifecycle data with Apache Doris.',
+ id: 'suzuki',
+ about: 'Suzuki Motor is a top-10 global automaker and the dominant car
brand in India and Southeast Asia, also famous for its motorcycles, ATVs, and
outboard engines.',
+ name: 'Suzuki',
+ file: 'suzuki.svg',
+ category: 'Automotive',
+ description: 'Uses Apache Doris for manufacturing, dealer, and service
analytics across global automotive operations.',
metric: 'Global',
metricLabel: 'Operations view',
},
{
- id: 'bank-of-china',
- name: 'Bank of China',
- file: 'Finance/Bank of China.jpg',
- category: 'Finance',
- description: 'Supports financial reporting and risk analysis scenarios
that need reliable SQL performance at scale.',
- metric: 'Trusted',
- metricLabel: 'Financial reports',
+ id: 'anta',
+ about: "ANTA Sports is China's largest sportswear group and a global
top-three player by revenue, with a brand portfolio spanning ANTA, FILA,
Descente, and Arc'teryx.",
+ name: 'ANTA',
+ file: 'anta.svg',
+ category: 'Sportswear',
+ description: 'Runs retail, channel, and consumer analytics to inform
product and marketing decisions across sportswear brands.',
+ metric: 'Channel-level',
+ metricLabel: 'Retail analytics',
},
{
- id: 'ping-an',
- name: 'Ping An',
- file: 'Finance/Ping An Insurance Group.jpg',
- category: 'Finance',
- description: 'Uses Apache Doris for customer, policy, and risk
analytics where fresh data and fast response times matter.',
- metric: 'Fresh',
- metricLabel: 'Risk analytics',
+ id: 'li-ning',
+ about: 'Li-Ning is a leading Chinese sportswear powerhouse founded by
the Olympic gymnast, fusing performance gear with streetwear culture across
thousands of stores nationwide.',
+ name: 'Li-Ning',
+ file: 'li-ning.svg',
+ category: 'Sportswear',
+ description: 'Powers store, e-commerce, and supply chain analytics
with Doris for daily and real-time decision making.',
+ metric: 'Omni-channel',
+ metricLabel: 'Sales analytics',
+ scale: 1.9,
},
{
- id: 'meituan',
- name: 'Meituan',
- file: 'Media & Entertainment/Meituan.jpg',
- category: 'Internet Services',
- description: 'Runs city-scale business analytics over orders,
merchants, riders, and user activity for live decision support.',
- metric: 'City-scale',
- metricLabel: 'Business data',
+ id: 'xtep',
+ about: "Xtep is a top-five Chinese sportswear brand and the country's
number-one running label, sponsoring marathons and dressing millions of runners
worldwide.",
+ name: 'Xtep',
+ file: 'xtep.svg',
+ category: 'Sportswear',
+ description: 'Uses Doris for membership, sales, and campaign analytics
across retail and digital channels.',
+ metric: 'Member-level',
+ metricLabel: 'Customer insight',
},
{
- id: 'tiktok',
- name: 'TikTok',
- file: 'Media & Entertainment/TikTok.jpg',
- category: 'Media',
- description: 'Applies Doris to content and engagement analytics
workloads that need fast aggregation over massive event streams.',
- metric: 'Massive',
- metricLabel: 'Engagement events',
+ id: 'zhipu-ai',
+ about: "Zhipu AI is one of China's leading large-model labs and a
Tsinghua spinout, building the GLM and ChatGLM foundation models that power
chatbots and AI agents at scale.",
+ name: 'Zhipu AI',
+ file: 'zhipu-ai.svg',
+ category: 'AI',
+ description: 'Uses Apache Doris to analyze model training metrics,
usage events, and platform telemetry at scale.',
+ metric: 'AI-scale',
+ metricLabel: 'Model analytics',
+ scale: 1.0,
},
{
- id: 'netease',
- name: 'NetEase',
- file: 'Media & Entertainment/NetEase.jpg',
- category: 'Media',
- description: 'Uses Apache Doris for game and content analytics,
helping teams inspect live metrics without long batch delays.',
- metric: 'Live',
- metricLabel: 'Content metrics',
+ id: 'minimax',
+ about: 'MiniMax is a top Chinese AI unicorn building multimodal
foundation models behind hit consumer apps like Talkie and Hailuo, serving tens
of millions of users worldwide.',
+ name: 'MiniMax',
+ file: 'minimax.svg',
+ category: 'AI',
+ description: 'Powers product usage, training pipeline, and inference
observability analytics for foundation model workloads.',
+ metric: 'Foundation',
+ metricLabel: 'Model telemetry',
+ },
+ {
+ id: 'ave-ai',
+ about: 'Ave AI is a fast-growing data startup turning messy enterprise
signals into AI-driven analytics and intelligent decisioning for modern data
teams.',
+ name: 'Ave AI',
+ file: 'ave-ai.svg',
+ category: 'AI',
+ description: 'Builds AI-driven data products on Doris with fast SQL
access for ad-hoc exploration and reporting.',
+ metric: 'Self-serve',
+ metricLabel: 'AI analytics',
+ scale: 2.0,
},
+ {
+ id: 'talkie',
+ about: 'Talkie is a leading AI companion and character-chat app with
over 11 million monthly active users, ranking among the most-downloaded AI apps
in the United States.',
+ name: 'Talkie',
+ file: 'talkie.svg',
+ category: 'AI',
+ description: 'Analyzes conversation, engagement, and growth signals
for an AI character chat product at scale.',
+ metric: 'Conversation',
+ metricLabel: 'Engagement data',
+ },
+ {
+ id: 'horizon-robotics',
+ about: "Horizon Robotics is China's leading autonomous-driving
chipmaker, commanding over 40% of the domestic ADAS market and powering more
than 100 vehicle models on the road.",
+ name: 'Horizon Robotics',
+ file: 'horizon-robotics.svg',
+ category: 'Autonomous Driving',
+ description: 'Uses Doris to process driving data, sensor telemetry,
and chip performance metrics for autonomous platforms.',
+ metric: 'Sensor-scale',
+ metricLabel: 'Driving data',
+ scale: 1.2,
+ },
+ {
+ id: 'goldwind',
+ about: "Goldwind is the world's number-one wind turbine manufacturer,
shipping nearly 30 GW of capacity in a single year and powering wind farms
across six continents.",
+ name: 'Goldwind',
+ file: 'goldwind.svg',
+ category: 'Energy',
+ description: 'Powers wind turbine telemetry and operations analytics
across renewable energy assets worldwide.',
+ metric: 'Turbine-level',
+ metricLabel: 'Energy telemetry',
+ },
+ {
+ id: 'advance-intelligence',
+ about: "Advance Intelligence Group is Southeast Asia's leading
AI-driven fintech, serving 40 million consumers and 235,000 merchants through
brands like Atome and ADVANCE.AI.",
+ name: 'Advance Intelligence',
+ file: 'advance-intelligence.svg',
+ category: 'Fintech',
+ description: 'Runs risk, credit, and transaction analytics for
AI-driven fintech products across Southeast Asia.',
+ metric: 'Cross-region',
+ metricLabel: 'Risk analytics',
+ },
+ {
+ id: 'true-watch',
+ about: 'TrueWatch is a next-generation cloud observability platform
unifying metrics, logs, and traces across multi-cloud stacks for DevOps and SRE
teams worldwide.',
+ name: 'TrueWatch',
+ file: 'true-watch.svg',
+ category: 'Observability',
+ description: 'Powers a unified observability platform using Doris for
metrics, logs, and traces at infrastructure scale.',
+ metric: 'Unified',
+ metricLabel: 'Observability data',
+ scale: 1.2,
+ },
+];
+
+const ROW1_IDS: readonly string[] = [
+ 'ave-ai', 'baidu', 'minimax', 'zhipu-ai', 'mihoyo', 'xiaomi',
+ 'byd', 'ford', 'jd', 'kwai', 'li-ning', 'luckin-coffee',
+ 'meituan', 'miniso',
];
+const LOGO_BY_ID = new Map(USER_LOGOS.map(logo => [logo.id, logo]));
+const ROW1_LOGOS: UserLogo[] = ROW1_IDS
+ .map(id => LOGO_BY_ID.get(id))
+ .filter((logo): logo is UserLogo => logo !== undefined);
+const ROW2_LOGOS: UserLogo[] = USER_LOGOS.filter(logo =>
!ROW1_IDS.includes(logo.id));
+
interface LogoTileProps {
logo: UserLogo;
duplicate?: boolean;
@@ -131,7 +333,10 @@ interface LogoTileProps {
}
function LogoTile({ logo, duplicate = false, expanded = false, onEnter,
onLeave }: LogoTileProps): JSX.Element {
- const src = `/images/user-logo/${encodeURI(logo.file)}`;
+ const src = `/images/next/user-logos/${logo.file}`;
+ const logoStyle = logo.scale !== undefined
+ ? ({ '--logo-scale': logo.scale } as React.CSSProperties)
+ : undefined;
return (
<article
@@ -145,7 +350,7 @@ function LogoTile({ logo, duplicate = false, expanded =
false, onEnter, onLeave
aria-label={`${logo.name}, ${logo.description}`}
role="group"
>
- <div className="stats-next__card-logo">
+ <div className="stats-next__card-logo" style={logoStyle}>
<img
src={src}
alt={duplicate ? '' : logo.name}
@@ -157,22 +362,13 @@ function LogoTile({ logo, duplicate = false, expanded =
false, onEnter, onLeave
<div className="stats-next__card-content">
<div className="stats-next__card-head">
- <span className="stats-next__card-mark">
- <img src={src} alt="" loading="lazy" draggable={false}
/>
- </span>
<span className="stats-next__card-name">{logo.name}</span>
<span
className="stats-next__card-tag">{logo.category}</span>
</div>
- <p
className="stats-next__card-description">{logo.description}</p>
- <div className="stats-next__card-meta">
- <div>
- <span className="stats-next__card-meta-label">Use
case</span>
- <span
className="stats-next__card-meta-value">{logo.metricLabel}</span>
- </div>
- <div>
- <span
className="stats-next__card-meta-label">Result</span>
- <span
className="stats-next__card-meta-value">{logo.metric}</span>
- </div>
+ <p className="stats-next__card-about">{logo.about}</p>
+ <div className="stats-next__card-usecase">
+ <span className="stats-next__card-usecase-label">Use
case</span>
+ <p
className="stats-next__card-usecase-text">{logo.description}</p>
</div>
</div>
</article>
@@ -211,7 +407,6 @@ function CompactStatsGrid(): JSX.Element {
export function StatsSection(): JSX.Element {
const [hoveredKey, setHoveredKey] = useState<string | null>(null);
const compact = useCompactStats();
- const logoLoop = [...USER_LOGOS, ...USER_LOGOS];
useEffect(() => {
if (compact) setHoveredKey(null);
@@ -221,29 +416,48 @@ export function StatsSection(): JSX.Element {
return <CompactStatsGrid />;
}
+ const rows: ReadonlyArray<readonly ['row1' | 'row2', UserLogo[]]> = [
+ ['row1', ROW1_LOGOS],
+ ['row2', ROW2_LOGOS],
+ ];
+
return (
<section className="stats-next" aria-label="Companies using Apache
Doris">
- <div className="stats-next__viewport">
- <div className={`stats-next__track${hoveredKey ? '
stats-next__track--expanded' : ''}`}>
- {logoLoop.map((logo, index) => {
- const cardKey = `${logo.id}-${index}`;
- const duplicate = index >= USER_LOGOS.length;
-
- return (
- <LogoTile
- key={cardKey}
- logo={logo}
- duplicate={duplicate}
- expanded={hoveredKey === cardKey}
- onEnter={() => setHoveredKey(cardKey)}
- onLeave={() =>
- setHoveredKey(current => (current ===
cardKey ? null : current))
- }
- />
- );
- })}
- </div>
- </div>
+ <p className="stats-next__eyebrow">Trusted by 10,000+ users</p>
+ {rows.map(([rowName, logos]) => {
+ const loop = [...logos, ...logos];
+ const rowExpanded = hoveredKey?.startsWith(`${rowName}:`) ??
false;
+ const trackClassName =
+ `stats-next__track stats-next__track--${rowName}` +
+ (rowExpanded ? ' stats-next__track--expanded' : '');
+ const viewportClassName =
+ `stats-next__viewport stats-next__viewport--${rowName}` +
+ (rowExpanded ? ' stats-next__viewport--active' : '');
+ return (
+ <div key={rowName} className={viewportClassName}>
+ <div className={trackClassName}>
+ {loop.map((logo, index) => {
+ const cardKey =
`${rowName}:${logo.id}-${index}`;
+ const duplicate = index >= logos.length;
+ return (
+ <LogoTile
+ key={cardKey}
+ logo={logo}
+ duplicate={duplicate}
+ expanded={hoveredKey === cardKey}
+ onEnter={() => setHoveredKey(cardKey)}
+ onLeave={() =>
+ setHoveredKey(current =>
+ current === cardKey ? null :
current,
+ )
+ }
+ />
+ );
+ })}
+ </div>
+ </div>
+ );
+ })}
</section>
);
}
diff --git a/static/images/next/home-page/cs-coupled.jpg
b/static/images/next/home-page/cs-coupled.jpg
index 080273be1b1..90f6e0da19d 100644
Binary files a/static/images/next/home-page/cs-coupled.jpg and
b/static/images/next/home-page/cs-coupled.jpg differ
diff --git a/static/images/next/home-page/cs-decoupled.jpg
b/static/images/next/home-page/cs-decoupled.jpg
index 1edec57cf4b..c8808d956dd 100644
Binary files a/static/images/next/home-page/cs-decoupled.jpg and
b/static/images/next/home-page/cs-decoupled.jpg differ
diff --git a/static/images/next/user-logos/advance-intelligence.svg
b/static/images/next/user-logos/advance-intelligence.svg
new file mode 100644
index 00000000000..19beeec61d6
--- /dev/null
+++ b/static/images/next/user-logos/advance-intelligence.svg
@@ -0,0 +1,7 @@
+<svg id="logo_fullcolour" xmlns="http://www.w3.org/2000/svg"; width="245.992"
height="64" viewBox="0 0 245.992 64">
+ <path id="logotype" fill="#000000"
d="M763.916,271.269h-4.68l2.108-5.631h.45Zm50.526-5.631h-.45l-2.108,5.631h4.68Zm-62.263,32.3h3.767V276.67h-3.767Zm9.4-42.564,6.042,15.894h4.011L763.621,250h-4.076L751.6,271.269h4.024ZM843.214,250h-3.767v14.013L830.242,250h-4.384l-.013,21.269h3.78V255.8l10.054,15.472h3.548V250Zm-84.428,26.67-.013,21.269h3.78V282.48l10.054,15.459h3.548V276.67h-3.767V290.7l-9.205-14.013h-4.4ZM812.166,250l-7.958,21.269h4.037l5.94-15.894,5.953,15.894h4.1l-8-21.269ZM795.08,
[...]
+ <g id="mark">
+ <path
d="M250.4,250v19.209a105.047,105.047,0,0,1,25.337,12.8A105.008,105.008,0,0,1,250.4,294.791v19.2a126.06,126.06,0,0,0,50.673-31.994A126.06,126.06,0,0,0,250.4,250Z"
transform="translate(-250.4 -250)" fill="#000000"/>
+ <path
d="M278.225,303.711a123.6,123.6,0,0,0,22.848,10.276V294.778c-2.374-.806-4.7-1.715-6.985-2.7A128.074,128.074,0,0,1,278.225,303.711Zm0-43.435a127.938,127.938,0,0,1,15.851,11.633q3.429-1.478,7-2.7V250A123.6,123.6,0,0,0,278.225,260.276Zm-20.373,14.615c-2.577,2.265-5.065,4.645-7.452,7.1,2.374,2.47,4.863,4.825,7.439,7.1a100.013,100.013,0,0,0,13.249-7.1A101.384,101.384,0,0,0,257.852,274.891Z"
transform="translate(-250.4 -250)" fill="#000000"/>
+ </g>
+</svg>
diff --git a/static/images/next/user-logos/anta.svg
b/static/images/next/user-logos/anta.svg
new file mode 100644
index 00000000000..c4eaa5c7d68
--- /dev/null
+++ b/static/images/next/user-logos/anta.svg
@@ -0,0 +1 @@
+<svg viewBox="0 -0.03275892849836737 114.62 62.03275892849837"
xmlns="http://www.w3.org/2000/svg"; width="2500" height="1354"><g
fill-rule="evenodd" fill="#000000"><path d="M48.87 62l13.51-26.33H68L66.88
62h-5.64l.25-3.53H56.2L54.46 62zm9.67-9h3.29l1-9.3zM0 62l13.48-26.33h5.64L18
62h-5.66l.26-3.53H7.29L5.57 62zm9.65-9h3.29l1-9.3z"/><path d="M25.91
35.66h4.98l2.09 14.11 3.93-14.11h5.72L35.29 62h-5.58l-1.93-13.1L24.13
62h-5.58zM43.92 35.66h15.92l-1.59 5.65h-5.03L47.44 62h-5.56l5.76-20.69h-5 [...]
\ No newline at end of file
diff --git a/static/images/next/user-logos/ave-ai.svg
b/static/images/next/user-logos/ave-ai.svg
new file mode 100644
index 00000000000..37934ae7462
--- /dev/null
+++ b/static/images/next/user-logos/ave-ai.svg
@@ -0,0 +1 @@
+<svg xmlns="http://www.w3.org/2000/svg"; width="2500" height="2500" viewBox="0
0 192.756 192.756"><g fill-rule="evenodd" clip-rule="evenodd"
fill="#000000"><path d="M131.264 87.353h-15.733l-17.09 25.418L78.07
87.353H64.747l34.06 48.26 32.457-48.26zM139.309
87.353h44.943v8.045H154.4v5.484h29.262v8.84H154.4v6.097h29.852v8.84h-44.943V87.353z"/><path
d="M54.446 65.471c-.486-.436.461-1.307 2.101-.896 1.025.256 2.152-.026
3.229.538 1.383.717 2.767.871 4.202 1.588 1.691.845 3.408.769 5.586 1.768 [...]
diff --git a/static/images/next/user-logos/baidu.svg
b/static/images/next/user-logos/baidu.svg
new file mode 100644
index 00000000000..1846439f09b
--- /dev/null
+++ b/static/images/next/user-logos/baidu.svg
@@ -0,0 +1 @@
+<svg xmlns="http://www.w3.org/2000/svg"; width="120" height="60"><path d="M5
6.696h110V44H5z" fill="#000000" fill-opacity="0"/><path d="M48.177
26.634c3.717-.8 3.2-5.246 3.1-6.218-.183-1.5-1.945-4.116-4.335-3.907-3
.268-3.45 4.616-3.45 4.616-.408 2.013.973 6.3 4.684 5.5m6.903-7.455c2.052 0
3.7-2.365 3.7-5.286s-1.66-5.282-3.7-5.282-3.716 2.36-3.716 5.282 1.662 5.286
3.716 5.286m8.846.348c2.747.36 4.507-2.57
4.86-4.8.36-2.217-1.415-4.796-3.355-5.24-1.95-.448-4.382 2.672-4.6 4.707-.267
2.5.3 [...]
\ No newline at end of file
diff --git a/static/images/next/user-logos/byd.svg
b/static/images/next/user-logos/byd.svg
new file mode 100644
index 00000000000..4a9754c6284
--- /dev/null
+++ b/static/images/next/user-logos/byd.svg
@@ -0,0 +1,4 @@
+<?xml version="1.0"?>
+<svg xmlns="http://www.w3.org/2000/svg"; width="1920" height="480" viewBox="0 0
1920 480">
+ <path fill="#000000"
transform="matrix(17.307692,0,0,17.307692,60.000016,61.073857)" d="M
23.46,0.377 C 21.84,0.347 14.81,0.327 10.71,0.327 H 0 v 3.85 c 8.62,0
18.85,-0.02 23.33,0.05 0.8,0.01 1.59,0.09 2.22,0.65 0.59,0.52 0.79,1.34
0.53,2.05 -0.42,1.15 -1.59,1.43 -2.75,1.45 -1.78,0.03 -6.65,0.04 -10.29,0.04
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-23.33,0.05 v 3.85 c 8.65,0 19.97, [...]
+</svg>
diff --git a/static/images/next/user-logos/cainiao.svg
b/static/images/next/user-logos/cainiao.svg
new file mode 100644
index 00000000000..473a7012bbc
--- /dev/null
+++ b/static/images/next/user-logos/cainiao.svg
@@ -0,0 +1 @@
+<svg enable-background="new 0 0 623.6 346.5" height="235.518046" viewBox="0 0
623.6 346.5" width="424.595914" xmlns="http://www.w3.org/2000/svg";><g
fill="#000000"><path d="m123.7 104.2c-7.3 19.7-26.2 33.7-48.4 33.7-28.5
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33.6h24.6c-8.1-33-37.7-57.3-73.1-57.3-41.5 0-75.2 33.7-75.2 75.2v11.2c.1 41.4
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diff --git a/static/images/next/user-logos/ford.svg
b/static/images/next/user-logos/ford.svg
new file mode 100644
index 00000000000..0c32379a957
--- /dev/null
+++ b/static/images/next/user-logos/ford.svg
@@ -0,0 +1,4 @@
+<?xml version="1.0" encoding="UTF-8" standalone="no"?>
+<svg xmlns="http://www.w3.org/2000/svg"; width="1000" height="359.91382"
viewBox="0 0 264.58333 95.227339" version="1.1">
+ <path fill="#000000" fill-rule="evenodd" d="M 132.29167,0 C 59.199637,0
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70.37799,0 127.43179,19.6592776 127.43179,43.9186196 0,24.254342 -57.0558,43
[...]
+</svg>
diff --git a/static/images/next/user-logos/goldwind.svg
b/static/images/next/user-logos/goldwind.svg
new file mode 100644
index 00000000000..c48aaf8f5f6
--- /dev/null
+++ b/static/images/next/user-logos/goldwind.svg
@@ -0,0 +1,26 @@
+<?xml version="1.0" encoding="utf-8"?>
+<svg xmlns="http://www.w3.org/2000/svg"; version="1.1" viewBox="0 0 296.7 49.1">
+ <path fill="#000000"
d="M66.8,8.3l6.8-7.9c0.1-0.2,0-0.4-0.1-0.4C20.9,1.5,0.5,17,0,23.8c-0.3,3.5,5.1,6.7,9,8.4c0.2,3.5,6,6.8,8.9,8
+
c0.4,3.4,6.4,7.4,13.4,8.9c0.3,0.1,0.5-0.3,0.2-0.4c-5.2-2.3-6.6-4.7-6.6-7c0-4.7,15.7-8.1,27.9-8.8l6.2-7.3
+
c0.2-0.2,0.1-0.4-0.1-0.4c-25.6,0.8-40,7.5-40.9,13.9c-1.5-0.8-2.5-2.2-2.5-3.7c0-5.1,14.1-13.8,44.1-14.5l6.5-7.5
+
c0.2-0.2,0-0.4-0.1-0.4C32.1,13.2,10.2,23.2,9,31.2c-0.6-0.4-2.5-1.9-2.5-3.9C6.6,20,30.5,9.1,66.8,8.3"/>
+ <path fill="#000000"
d="M104.3,27h-6.5c0,0,0,8.4,0,8.3c-1.2,0.4-2.5,0.4-3.8,0.4c-2.9,0-9.3-2.4-9.3-9.2c0.2-7.8,7.1-9.4,10.3-9.3
+
c4.7,0.2,6.9,1.5,6.9,1.5c0,0,1.7-3.6,1.7-3.6c-1.4-0.6-5.3-1.8-9.8-1.8c-3.5,0-8.5,1.2-11.3,3.6c-2.8,2.4-4.3,5.5-4.3,9.5
+
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+ <path fill="#000000" fill-rule="evenodd"
d="M112.1,34.9c-2.7-2.2-4.1-5-4.1-8.5c0-3.9,1.3-7.1,4.1-9.4c2.7-2.4,6.3-3.6,10.7-3.6c4.4,0,8,1.1,10.7,3.2
+
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b/static/images/next/user-logos/li-ning.svg
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new file mode 100644
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b/static/images/next/user-logos/minimax.svg
new file mode 100644
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b/static/images/next/user-logos/miniso.svg
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b/static/images/next/user-logos/samsung.svg
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b/static/images/next/user-logos/sf-express.svg
new file mode 100644
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new file mode 100644
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new file mode 100644
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