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DataFunSummit
DataFunSummit
Mar 1, 2025 · Databases

Innovations and Breakthroughs of ClickHouse in Real‑Time OLAP

This article introduces ClickHouse as an open‑source column‑store OLAP database, outlines its core features, explains its distributed and cloud‑native architectures—including SharedMergeTree for serverless operation—presents benchmark results, compares community and enterprise editions, and answers common questions about its future direction.

ClickHouseCloud NativeReal-time OLAP
0 likes · 15 min read
Innovations and Breakthroughs of ClickHouse in Real‑Time OLAP
DataFunTalk
DataFunTalk
Jun 10, 2024 · Big Data

Data Lake Development Trends, Architecture, Integration, and Lakehouse Core Capabilities

This article reviews the latest developments in data lakes, including trend analysis, overall architecture, data integration methods, Lakehouse core capabilities, open design principles, stream‑batch unified processing, real‑time OLAP, and lake‑internal warehousing, highlighting how these advances reduce complexity and cost while improving data sharing and performance.

Big Data ArchitectureLakehouseReal-time OLAP
0 likes · 14 min read
Data Lake Development Trends, Architecture, Integration, and Lakehouse Core Capabilities
DataFunSummit
DataFunSummit
Apr 25, 2024 · Big Data

Paimon Project Overview: Recent Developments, Core Capabilities, and Future Roadmap

This article presents a comprehensive overview of the Apache‑incubated Paimon project, covering its evolution from Flink Table Store, the current features of primary‑key and log tables, management tools such as snapshots, tags and branches, performance optimizations for Flink and Spark, and a detailed roadmap of upcoming functionalities.

Big DataData ManagementFlink
0 likes · 23 min read
Paimon Project Overview: Recent Developments, Core Capabilities, and Future Roadmap
dbaplus Community
dbaplus Community
Sep 19, 2023 · Cloud Native

How REDck Transformed ClickHouse into a Scalable Cloud‑Native Real‑Time Data Warehouse

REDck, a cloud‑native real‑time data warehouse built on open‑source ClickHouse, overcomes the original MPP architecture’s scaling and maintenance limits by separating compute and storage, introducing unified metadata, multi‑level caching, bucket‑based sharding, and distributed transaction support, delivering petabyte‑scale, 99.9% availability and ten‑fold cost and performance gains for Xiaohongshu’s diverse workloads.

ClickHouseCloud NativeCompute-Storage Separation
0 likes · 22 min read
How REDck Transformed ClickHouse into a Scalable Cloud‑Native Real‑Time Data Warehouse
DataFunTalk
DataFunTalk
Sep 17, 2023 · Cloud Native

REDck: A Cloud‑Native Real‑Time Data Warehouse Built on ClickHouse

REDck is a cloud‑native, storage‑compute separated real‑time OLAP data warehouse derived from ClickHouse that addresses scalability, operational cost, and reliability challenges through a unified metadata service, object‑storage optimizations, multi‑level caching, distributed task scheduling, and two‑phase commit transactions.

ClickHouseDistributed TransactionsReal-time OLAP
0 likes · 18 min read
REDck: A Cloud‑Native Real‑Time Data Warehouse Built on ClickHouse
ITPUB
ITPUB
Sep 11, 2023 · Cloud Native

How REDck Transforms ClickHouse into a Scalable Cloud‑Native Real‑Time Data Warehouse

Xiaohongshu built REDck, a cloud‑native, storage‑compute separated real‑time OLAP warehouse on ClickHouse, addressing scaling, cost, and reliability challenges through a unified metadata service, object‑storage optimizations, multi‑level caching, distributed task scheduling, bucketing, and exactly‑once transaction support.

ClickHouseDistributed TransactionsReal-time OLAP
0 likes · 21 min read
How REDck Transforms ClickHouse into a Scalable Cloud‑Native Real‑Time Data Warehouse
DataFunSummit
DataFunSummit
Sep 8, 2023 · Big Data

Tianqiong OLAP Real‑time Lakehouse Fusion Platform Architecture Practice

This article explains why lake‑warehouse fusion is needed, describes the challenges of integrating real‑time data warehouses with data lakes, introduces a new StarRocks‑based architecture that supports real‑time ingestion, cooling, offline loading, and adaptive hot‑cold query rewriting, and outlines future plans and Q&A.

Big DataData IntegrationData Warehouse
0 likes · 21 min read
Tianqiong OLAP Real‑time Lakehouse Fusion Platform Architecture Practice
Xiaohongshu Tech REDtech
Xiaohongshu Tech REDtech
Sep 6, 2023 · Databases

REDck: A Cloud‑Native Real‑Time OLAP Data Warehouse Built on ClickHouse

REDck is a cloud‑native, real‑time OLAP data warehouse built on ClickHouse that adds elastic compute and storage scaling, object‑storage optimizations, multi‑level caching, and exactly‑once ingestion, delivering petabyte‑scale interactive analytics with ten‑fold CPU efficiency, ten‑fold cost reduction, and 99.9% availability.

Big DataClickHouseReal-time OLAP
0 likes · 21 min read
REDck: A Cloud‑Native Real‑Time OLAP Data Warehouse Built on ClickHouse
StarRocks
StarRocks
Jul 18, 2022 · Big Data

How Songguo Mobility Built a Real‑Time OLAP Platform with StarRocks: From 1.0 to 3.0

Songguo Mobility’s data‑center team migrated from a fragmented Impala‑Kudu‑ClickHouse stack to a unified StarRocks‑based real‑time OLAP architecture, iterating through three versions to solve scalability, latency, and maintenance challenges while supporting minute‑level dashboards for orders and vehicle analytics.

FlinkKafkaReal-time OLAP
0 likes · 19 min read
How Songguo Mobility Built a Real‑Time OLAP Platform with StarRocks: From 1.0 to 3.0
Xueersi Online School Tech Team
Xueersi Online School Tech Team
Sep 10, 2021 · Big Data

Real‑time OLAP with Flink and Hologres: Replacing Lambda/Kappa Architectures

This article analyzes the limitations of traditional Lambda and Kappa big‑data architectures for online‑school behavior‑feature pipelines and presents a Flink + Hologres solution that provides unified real‑time OLAP and high‑concurrency point‑query services, including design choices, implementation details, and performance results.

FlinkHologresKappa architecture
0 likes · 12 min read
Real‑time OLAP with Flink and Hologres: Replacing Lambda/Kappa Architectures
DataFunTalk
DataFunTalk
Jun 14, 2020 · Big Data

Practical Experience and Optimization of Apache Druid for Real‑Time OLAP at iQIYI

This article describes how iQIYI evaluated various OLAP engines, selected Apache Druid for real‑time analytics, detailed its architecture, identified performance bottlene‑cks in Coordinator, Overlord and indexing, applied configuration and resource‑allocation optimizations, and built a user‑friendly RAP platform to democratize real‑time data analysis.

Apache DruidBig DataData Platform
0 likes · 15 min read
Practical Experience and Optimization of Apache Druid for Real‑Time OLAP at iQIYI
Big Data Technology Architecture
Big Data Technology Architecture
Jun 11, 2020 · Big Data

Kylin at Autohome: Development History, Deployment Practices, Optimizations, and Future Roadmap

This article details Autohome's use of Apache Kylin as its core OLAP engine, covering its architecture, large‑scale Cube deployment, real‑world business applications, a series of performance and operational optimizations, cluster upgrade experiences, and upcoming plans for real‑time OLAP and cloud‑native evolution.

Cloud NativeCluster ManagementKylin
0 likes · 24 min read
Kylin at Autohome: Development History, Deployment Practices, Optimizations, and Future Roadmap
iQIYI Technical Product Team
iQIYI Technical Product Team
May 29, 2020 · Big Data

Real-Time OLAP with Apache Druid at iQiyi: Architecture, Optimizations, and Platform Practices

iQiyi replaced its offline OLAP stack with Apache Druid, leveraging its real‑time, multi‑dimensional engine and a five‑component architecture, while solving coordinator and overlord bottlenecks, optimizing indexing resources, adopting KIS mode, and building the self‑service RAP platform that now powers thousands of low‑latency dashboards.

Apache DruidKISPerformance Optimization
0 likes · 17 min read
Real-Time OLAP with Apache Druid at iQiyi: Architecture, Optimizations, and Platform Practices