time-series database — 9 Technical Articles

Jul 10, 2024 · Cloud Native

Why CNCF’s Acceptance of openGemini Boosts Cloud‑Native Time‑Series Databases

The Cloud Native Computing Foundation (CNCF) has officially welcomed Huawei Cloud’s open‑source high‑performance time‑series database project openGemini, highlighting its role in advancing cloud‑native database technology, supporting massive observability data storage and analysis, and fostering community growth and industry adoption.

CNCFcloud-nativeobservability

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Why CNCF’s Acceptance of openGemini Boosts Cloud‑Native Time‑Series Databases

Qunar Tech Salon

Jun 14, 2024 · Operations

Design and Implementation of a Second-Level Monitoring System for Qunar Travel

This article details the background, overall architecture, challenges, and step‑by‑step redesign of Qunar Travel's Watcher monitoring platform to achieve second‑level (per‑second) data collection, storage, and alerting, including storage engine selection, client and server optimizations, deployment strategies, and operational outcomes.

DevOpsMonitoringtime-series database

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Design and Implementation of a Second-Level Monitoring System for Qunar Travel

AntTech

Dec 25, 2023 · Databases

HoraeDB Joins Apache Incubator: Design Goals, Architecture, and Core Features of the Cloud‑Native Time‑Series Database

HoraeDB, the next‑generation cloud‑native time‑series database originally from Ant Group, has been accepted into the Apache Incubator, and this article outlines its design motivations, distributed architecture, key technical components, and core capabilities such as high performance, low cost, SQL‑based analytics, storage‑compute separation, high availability, and open‑source ecosystem compatibility.

Apache IncubatorSQL Analyticscloud-native

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HoraeDB Joins Apache Incubator: Design Goals, Architecture, and Core Features of the Cloud‑Native Time‑Series Database

Huawei Cloud Developer Alliance

Nov 17, 2023 · Databases

How openGemini’s New Columnar Engine Solves High‑Cardinality Time‑Series Challenges

This article explains why time‑series databases are ideal for massive telemetry data, describes the high‑cardinality problem that degrades performance, and shows how openGemini’s newly introduced columnar engine—combined with sorting and clustering indexes—effectively mitigates those issues while delivering impressive write and query speeds.

Columnar Storagedatabaseshigh-cardinality

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How openGemini’s New Columnar Engine Solves High‑Cardinality Time‑Series Challenges

Huawei Cloud Developer Alliance

Jul 24, 2023 · Databases

Why OpenGemini Is Emerging as the Go-To Open-Source Time-Series Database

On July 19, the openGemini community and Huawei Cloud DTT hosted a live session detailing openGemini’s open-source license, high performance, distributed architecture, and six key capabilities—including streaming aggregation, multi-level downsampling, log search, AI-driven anomaly detection, and a high-cardinality engine—showcasing its suitability for massive telemetry data across cloud-native and IoT scenarios.

DistributedHigh Performancecloud-native

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Why OpenGemini Is Emerging as the Go-To Open-Source Time-Series Database

AntTech

Mar 7, 2023 · Databases

CeresDB 1.0 Release: Cloud‑Native Time‑Series Database Design, Features, and Performance Evaluation

CeresDB 1.0, the open‑source cloud‑native time‑series database from Ant Group, introduces a next‑generation architecture that supports both traditional and analytical workloads, offers column‑mixed storage, distributed compute‑storage separation, multi‑language SDKs, and demonstrates significant write and query performance gains over InfluxDB in benchmark tests.

CeresDBPerformance Benchmarkcloud-native

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CeresDB 1.0 Release: Cloud‑Native Time‑Series Database Design, Features, and Performance Evaluation

Huawei Cloud Developer Alliance

Dec 20, 2022 · Operations

How Huawei Cloud SRE Scaled Monitoring with openGemini: A Real‑World Performance Case Study

Facing hundreds of terabytes of daily monitoring data, Huawei Cloud SRE replaced HBase with the open‑source time‑series database openGemini, conducting extensive write and query performance tests that demonstrated linear scaling, superior query speed, and significant reductions in storage, CPU, and memory usage.

MonitoringPerformance Testingcloud operations

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How Huawei Cloud SRE Scaled Monitoring with openGemini: A Real‑World Performance Case Study

Huawei Cloud Developer Alliance

Sep 2, 2021 · Databases

Why Time‑Series Databases Are the Backbone of IoT and Cloud‑Native Ops

The article explains how the explosive growth of IoT data makes high‑performance time‑series databases essential, describes Huawei Cloud's GaussDB for Influx architecture and compression breakthroughs, and shares the engineering challenges and real‑world benefits of building a cloud‑native TSDB for massive monitoring workloads.

GaussDBIoTPerformance

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Why Time‑Series Databases Are the Backbone of IoT and Cloud‑Native Ops

DataFunTalk

Jul 16, 2019 · Databases

TDengine Architecture and Storage Design for IoT Big Data

This article explains TDengine’s architecture, including its management, data, and client modules, virtual node design, write process, and detailed storage file structures, highlighting how its innovative design optimizes resource usage and performance for IoT and other big‑data applications.

ArchitectureIoTStorage

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TDengine Architecture and Storage Design for IoT Big Data