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2 changes: 1 addition & 1 deletion blog/Doris-34x-than-ck-real-time-updates.mdx
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Expand Up @@ -3,7 +3,7 @@
'summary': "We benchmarked Apache Doris against ClickHouse on ClickBench and SSB (Star Schema Benchmark), under fair resource allocations in each product's cloud services. Results: Apache Doris is 18-34x faster than ClickHouse in SSB and 2.5-4.6x faster than ClickHouse in ClickBench."
'description': "We benchmarked Apache Doris against ClickHouse on ClickBench and SSB (Star Schema Benchmark), under fair resource allocations in each product's cloud services. Results: Apache Doris is 18-34x faster than ClickHouse in SSB and 2.5-4.6x faster than ClickHouse in ClickBench."
'picked': "true"
'order': "1"
'order': "2"
'date': '2025-10-01'
'author': 'velodb.io · VeloDB Engineering Team'
'externalLink': 'https://www.velodb.io/blog/apache-doris-34x-faster-clickhouse-realtime-updates'
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2 changes: 0 additions & 2 deletions blog/Doris-70-better-on-graviton.mdx
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Expand Up @@ -2,8 +2,6 @@
'title': 'Apache Doris Achieves 70% Better Price-Performance on ARM-based AWS Graviton'
'summary': "We benchmarked Apache Doris on ARM-based AWS Graviton against x86 instances across five industry-standard OLAP tests (ClickBench, SSB 100G, SSB-Flat, TPC-H, and TPC-DS), and found Doris running on ARM-based Graviton consistently delivered 54%–70% higher price-performance."
'description': "We benchmarked Apache Doris on ARM-based AWS Graviton against x86 instances across five industry-standard OLAP tests (ClickBench, SSB 100G, SSB-Flat, TPC-H, and TPC-DS), and found Doris running on ARM-based Graviton consistently delivered 54%–70% higher price-performance."
'picked': "true"
'order': "4"
'date': '2025-10-31'
'author': 'velodb.io · VeloDB Engineering Team'
'externalLink': 'https://www.velodb.io/blog/apache-doris-achieves-70-better-price-performance'
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2 changes: 0 additions & 2 deletions blog/Doris-onelake-fabric-integration.mdx
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Expand Up @@ -2,8 +2,6 @@
'title': 'From OneLake to Insights: Building Modern Analytics with Apache Doris and Microsoft Fabric'
'summary': "Connect Apache Doris to Microsoft Fabric’s OneLake, the unified data lake behind Fabric. See how to set up data and authentication in Fabric, creating an Iceberg REST Catalog in Doris, and query OneLake tables without data movement."
'description': "Connect Apache Doris to Microsoft Fabric’s OneLake, the unified data lake behind Fabric. See how to set up data and authentication in Fabric, creating an Iceberg REST Catalog in Doris, and query OneLake tables without data movement."
'picked': "true"
'order': "2"
'date': '2025-11-17'
'author': 'velodb.io · VeloDB Engineering Team'
'externalLink': 'https://www.velodb.io/blog/connect-apache-doris-and-microsoft-fabric-and-onelake'
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2 changes: 0 additions & 2 deletions blog/Doris-tops-jsonbench-in-cold-queries.mdx
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Expand Up @@ -2,8 +2,6 @@
'title': 'Apache Doris Tops JSONBench in Cold Queries and Data Quality'
'summary': "Apache Doris has topped the latest JSONBench benchmark. Apache Doris ranks first in cold query performance and data quality, and ranks second in hot queries."
'description': "Apache Doris has topped the latest JSONBench benchmark. Apache Doris ranks first in cold query performance and data quality, and ranks second in hot queries."
'picked': "true"
'order': "3"
'date': '2025-11-06'
'author': 'velodb.io · VeloDB Engineering Team'
'externalLink': 'https://www.velodb.io/blog/apache-doris-tops-json-bench-cold-queries'
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17 changes: 17 additions & 0 deletions blog/apache-doris-min-io.md
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@@ -0,0 +1,17 @@
---
'title': 'Deploying Apache Doris with MinIO: Analytics with Storage-Compute Separation'
'summary': "In the Apache Doris + MinIO architecture, Apache Doris handles compute, MinIO handles storage, and the result is a modern analytics architecture that’s fast, scalable, cost-efficient, and separates compute from storage. "
'description': "In the Apache Doris + MinIO architecture, Apache Doris handles compute, MinIO handles storage, and the result is a modern analytics architecture that’s fast, scalable, cost-efficient, and separates compute from storage. "
'picked': "true"
'order': "3"
'date': '2025-12-8'
'author': 'velodb.io · VeloDB Engineering Team'
'externalLink': 'https://www.velodb.io/blog/deploying-apache-doris-with-minio'
'tags': ['Tech Sharing']
"image": '/images/blogs/202512_MinIO_1800_766.png'
---

import { BlogLink } from '../src/components/blogs/components/blog-link';
import { SeeMore } from '../src/components/blogs/components/see-more';

> <BlogLink rel="noopener noreferrer" target='_blank' href='https://www.velodb.io/blog/deploying-apache-doris-with-minio'>In the Apache Doris + MinIO architecture, Apache Doris handles compute, MinIO handles storage, and the result is a modern analytics architecture that’s fast, scalable, cost-efficient, and separates compute from storage. <SeeMore /></BlogLink>
17 changes: 17 additions & 0 deletions blog/bytedance-hybrid-search-usecase.md
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@@ -0,0 +1,17 @@
---
'title': 'How ByteDance Solved Billion-Scale Vector Search Problem with Apache Doris 4.0'
'summary': "With Apache Doris 4.0 and its hybrid search capabilities, ByteDance built a search system handling 1 billion+ vectors, achieving accuracy, low latency, and cost-efficiency in infra costs. "
'description': "With Apache Doris 4.0 and its hybrid search capabilities, ByteDance built a search system handling 1 billion+ vectors, achieving accuracy, low latency, and cost-efficiency in infra costs. "
'picked': "true"
'order': "1"
'date': '2025-12-16'
'author': 'velodb.io · VeloDB Engineering Team'
'externalLink': 'https://www.velodb.io/blog/bytedance-solved-billion-scale-vector-search-problem-with-apache-doris-4-0'
'tags': ['Best Practice']
"image": '/images/blogs/202512_ByteDance_horizontal.png'
---

import { BlogLink } from '../src/components/blogs/components/blog-link';
import { SeeMore } from '../src/components/blogs/components/see-more';

> <BlogLink rel="noopener noreferrer" target='_blank' href='https://www.velodb.io/blog/bytedance-solved-billion-scale-vector-search-problem-with-apache-doris-4-0'>With Apache Doris 4.0 and its hybrid search capabilities, ByteDance built a search system handling 1 billion+ vectors, achieving accuracy, low latency, and cost-efficiency in infra costs. <SeeMore /></BlogLink>
16 changes: 16 additions & 0 deletions blog/variant-tech-deepdive-202601.md
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@@ -0,0 +1,16 @@
---
'title': 'Fast JSON Analytics in Apache Doris: 100x Faster Than PostgreSQL and MongoDB'
'summary': "Apache Doris uses the VARIANT data type to deliver flexible, high-performance JSON handling, thanks to features like dynamic subcolumns, sparse columns, schema templates, lazy materialization, and path-based indexing."
'description': "Apache Doris uses the VARIANT data type to deliver flexible, high-performance JSON handling, thanks to features like dynamic subcolumns, sparse columns, schema templates, lazy materialization, and path-based indexing."
'picked': "true"
'order': "4"
'date': '2025-12-26'
'author': 'velodb.io · VeloDB Engineering Team'
'externalLink': 'https://www.velodb.io/blog/fast-json-analytics-in-apache-doris-100x-faster-than-postgresql-and-mongodb'
'tags': ['Tech Sharing']
"image": '/images/blogs/202512_Variant_horizontal.png'
---
import { BlogLink } from '../src/components/blogs/components/blog-link';
import { SeeMore } from '../src/components/blogs/components/see-more';

> <BlogLink rel="noopener noreferrer" target='_blank' href='https://www.velodb.io/blog/fast-json-analytics-in-apache-doris-100x-faster-than-postgresql-and-mongodb'>Apache Doris uses the VARIANT data type to deliver flexible, high-performance JSON handling, thanks to features like dynamic subcolumns, sparse columns, schema templates, lazy materialization, and path-based indexing. <SeeMore /></BlogLink>
16 changes: 8 additions & 8 deletions src/components/recent-blogs/recent-blogs.data.ts
Original file line number Diff line number Diff line change
@@ -1,19 +1,19 @@
export const RECENT_BLOGS_POSTS = [
{
label: 'Apache Doris Up to 34x Faster Than ClickHouse in Real-Time Updates',
link: 'https://www.velodb.io/blog/apache-doris-34x-faster-clickhouse-realtime-updates',
label: 'How ByteDance Solved Billion-Scale Vector Search Problem with Apache Doris 4.0',
link: 'https://www.velodb.io/blog/bytedance-solved-billion-scale-vector-search-problem-with-apache-doris-4-0',
},
{
label: 'From OneLake to Insights: Building Modern Analytics with Apache Doris and Microsoft Fabric',
link: 'https://www.velodb.io/blog/connect-apache-doris-and-microsoft-fabric-and-onelake',
label: 'Apache Doris Up to 34x Faster Than ClickHouse in Real-Time Updates',
link: 'https://www.velodb.io/blog/apache-doris-34x-faster-clickhouse-realtime-updates',
},
{
label: 'Apache Doris Tops JSONBench in Cold Queries and Data Quality',
link: 'https://www.velodb.io/blog/apache-doris-tops-json-bench-cold-queries',
label: 'Fast JSON Analytics in Apache Doris: 100x Faster Than PostgreSQL and MongoDB',
link: 'https://www.velodb.io/blog/fast-json-analytics-in-apache-doris-100x-faster-than-postgresql-and-mongodb',
},
{
label: 'Apache Doris Achieves 70% Better Price-Performance on ARM-based AWS Graviton',
link: 'https://www.velodb.io/blog/apache-doris-achieves-70-better-price-performance',
label: 'Deploying Apache Doris with MinIO: Analytics with Storage-Compute Separation',
link: 'https://www.velodb.io/blog/deploying-apache-doris-with-minio',
},


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30 changes: 15 additions & 15 deletions src/constant/newsletter.data.ts
Original file line number Diff line number Diff line change
@@ -1,4 +1,11 @@
export const NEWSLETTER_DATA = [
{
tags: ['Best Practice'],
title: "How ByteDance Solved Billion-Scale Vector Search Problem with Apache Doris 4.0",
content: `With Apache Doris 4.0 and its hybrid search capabilities, ByteDance built a search system handling 1 billion+ vectors, achieving accuracy, low latency, and cost-efficiency in infra costs. `,
to: 'https://www.velodb.io/blog/bytedance-solved-billion-scale-vector-search-problem-with-apache-doris-4-0',
image: 'blogs/202512_ByteDance_horizontal.png',
},
{
tags: ['Tech Sharing'],
title: "Apache Doris Up to 34x Faster Than ClickHouse in Real-Time Updates",
Expand All @@ -8,24 +15,17 @@ export const NEWSLETTER_DATA = [
},
{
tags: ['Tech Sharing'],
title: "From OneLake to Insights: Building Modern Analytics with Apache Doris and Microsoft Fabric",
content: `Connect Apache Doris to Microsoft Fabric’s OneLake, the unified data lake behind Fabric. See how to set up data and authentication in Fabric, creating an Iceberg REST Catalog in Doris, and query OneLake tables without data movement.`,
to: 'https://www.velodb.io/blog/connect-apache-doris-and-microsoft-fabric-and-onelake',
image: 'blogs/20251117_OneLake_1800x766.png',
},
{
tags: ['Tech Sharing'],
title: "Apache Doris Tops JSONBench in Cold Queries and Data Quality",
content: `Apache Doris has topped the latest JSONBench benchmark. Apache Doris ranks first in cold query performance and data quality, and ranks second in hot queries.`,
to: 'https://www.velodb.io/blog/apache-doris-tops-json-bench-cold-queries',
image: 'blogs/202511_JSONBench_header_1.jpeg',
title: "Fast JSON Analytics in Apache Doris: 100x Faster Than PostgreSQL and MongoDB",
content: `Apache Doris uses the VARIANT data type to deliver flexible, high-performance JSON handling, thanks to features like dynamic subcolumns, sparse columns, schema templates, lazy materialization, and path-based indexing.`,
to: 'https://www.velodb.io/blog/fast-json-analytics-in-apache-doris-100x-faster-than-postgresql-and-mongodb',
image: 'blogs/202512_Variant_horizontal.png',
},
{
tags: ['Tech Sharing'],
title: "Apache Doris Achieves 70% Better Price-Performance on ARM-based AWS Graviton",
content: `We benchmarked Apache Doris on ARM-based AWS Graviton against x86 instances across five industry-standard OLAP tests (ClickBench, SSB 100G, SSB-Flat, TPC-H, and TPC-DS), and found Doris running on ARM-based Graviton consistently delivered 54%–70% higher price-performance.`,
to: 'https://www.velodb.io/blog/apache-doris-achieves-70-better-price-performance',
image: 'blogs/Doris_on_AWS_Graviton_1800X766.png',
title: "Deploying Apache Doris with MinIO: Analytics with Storage-Compute Separation",
content: `In the Apache Doris + MinIO architecture, Apache Doris handles compute, MinIO handles storage, and the result is a modern analytics architecture that’s fast, scalable, cost-efficient, and separates compute from storage. `,
to: 'https://www.velodb.io/blog/deploying-apache-doris-with-minio',
image: 'blogs/202512_MinIO_1800_766.png',
},


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