time-series database

360 Zhihui Cloud Developer

Apr 2, 2025 · Databases

How VictoriaMetrics' Distributed Architecture Scales Massive Time‑Series Data

VictoriaMetrics employs a modular, horizontally scalable architecture composed of vmagent, vminsert, vmstorage, vmselect, and vmalert, each handling data collection, ingestion, storage, querying, and alerting, while leveraging consistent hashing, LSM‑tree storage, TSID indexing, and multi‑tenant isolation to efficiently manage large‑scale time‑series workloads.

Query OptimizationScalable storageVictoriaMetrics

0 likes · 11 min read

How VictoriaMetrics' Distributed Architecture Scales Massive Time‑Series Data

DataFunTalk

Jan 9, 2025 · Databases

Innovative IoT Point Management with DolphinDB IOTDB Engine

This article explains the challenges of managing heterogeneous IoT sensor data, compares wide‑table and narrow‑table modeling approaches, and introduces DolphinDB's IOTDB engine—featuring a unified IOTANY column, a TSDB engine, a latest‑value cache, and a static info table—to efficiently store and query diverse point data in a single table.

Data ModelingDolphinDBIOTDB engine

0 likes · 8 min read

Innovative IoT Point Management with DolphinDB IOTDB Engine

AntData

Sep 26, 2024 · Databases

Apache HoraeDB (CeresDB): An Open‑Source Distributed Time‑Series Database

Apache HoraeDB (CeresDB) is an open‑source, distributed, high‑availability time‑series database developed by Ant Group, supporting multi‑dimensional queries, compatible with Prometheus and OpenTSDB, and offering SQL and OLAP capabilities for use cases such as APM, IoT monitoring, financial analytics, and AI‑infra observability.

Distributed SystemsObservabilitySQL

0 likes · 5 min read

Apache HoraeDB (CeresDB): An Open‑Source Distributed Time‑Series Database

Soul Technical Team

Sep 2, 2024 · Databases

Comparative Analysis of VictoriaMetrics and Thanos for Large‑Scale Metric Storage

This article examines the migration from Thanos to VictoriaMetrics for large‑scale metric storage, detailing background challenges, VictoriaMetrics architecture and storage engine, data write and read processes, and a comparative analysis of performance, scalability, and operational costs between the two systems.

MonitoringObservabilityPerformance

0 likes · 15 min read

Comparative Analysis of VictoriaMetrics and Thanos for Large‑Scale Metric Storage

Xiaolei Talks DB

Aug 28, 2024 · Databases

What 15 Years of China’s DTCC Conferences Reveal About Database Evolution

The author reflects on a decade‑plus journey through China’s DTCC database conferences, describing personal growth from novice to speaker and organizer, sharing insights on Redis Cluster, distributed database selection, openGauss, time‑series databases, and the evolving themes that chart the industry's progress.

ConferenceDistributed SystemsOpenGauss

0 likes · 6 min read

What 15 Years of China’s DTCC Conferences Reveal About Database Evolution

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.

DevOpsMonitoringPerformance Optimization

0 likes · 17 min read

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

NetEase Cloud Music Tech Team

Jan 10, 2024 · Operations

Building Cloud Music's APM Metric Monitoring System Based on VictoriaMetrics

Cloud Music’s middleware team built the Pylon APM monitoring system on VictoriaMetrics, combining exporters, vmagent, Nacos, Flink‑based pre‑aggregation recording rules and vminsert for collection with Grafana, a custom Proxy and vmselect for querying, achieving millisecond‑level latency, metric‑trace correlation, stability improvements, and cost‑effective storage for nearly 700 million active time series.

APM MonitoringFlinkMetric Pre-aggregation

0 likes · 12 min read

Building Cloud Music's APM Metric Monitoring System Based on VictoriaMetrics

Aikesheng Open Source Community

Jan 2, 2024 · Databases

HoraeDB (formerly CeresDB) Joins Apache Incubator: Design Goals, Architecture, and Core Features

HoraeDB, the open‑source time‑series database formerly known as CeresDB, has been accepted into the Apache Incubator, and the announcement details its design objectives, cloud‑native architecture, distributed solution, key features such as high performance, low cost, compute‑storage separation, and how developers can contribute to the project.

Apache IncubatorCloud NativeDistributed Systems

0 likes · 6 min read

HoraeDB (formerly CeresDB) Joins Apache Incubator: Design Goals, Architecture, and Core Features

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

0 likes · 6 min read

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

Didi Tech

Sep 26, 2023 · Databases

Didi's Time Series Storage Evolution: From InfluxDB to VictoriaMetrics

Facing exponential growth of time‑series data from 2017 to 2023, Didi migrated from InfluxDB to RRDtool, then to an in‑memory cache layer, and finally adopted VictoriaMetrics because its low‑cost commodity‑hardware operation, high write throughput, strong compression, and easy horizontal scaling solved the earlier storage, OOM, and scalability problems.

ObservabilityScalable storageTSDB

0 likes · 13 min read

Didi's Time Series Storage Evolution: From InfluxDB to VictoriaMetrics

Efficient Ops

May 24, 2023 · Operations

How Ant Group Solves Client Observability Challenges with CeresDB and AI

This article explains Ant Group's client observability system, the technical difficulties of tracing, logging, and metrics on mobile clients, and presents their open‑source solutions—including a custom time‑series database, dimension‑join services, and intelligent alerting—to handle massive data and multi‑dimensional analysis.

AICeresDBObservability

0 likes · 15 min read

How Ant Group Solves Client Observability Challenges with CeresDB and AI

Efficient Ops

Apr 4, 2023 · Databases

Master InfluxDB: From Basics to Advanced Queries and Retention Policies

This guide explains InfluxDB's architecture, data model, CRUD commands, measurement handling, retention policies, query syntax, time‑zone considerations, and service management, providing a comprehensive tutorial for developers working with time‑series databases.

Data insertionInfluxDBRetention Policies

0 likes · 10 min read

Master InfluxDB: From Basics to Advanced Queries and Retention Policies

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.

CeresDBCloud NativeDistributed Storage

0 likes · 9 min read

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

Qunar Tech Salon

Nov 29, 2022 · Cloud Native

Qunar’s Experience Replacing Prometheus with VictoriaMetrics for Cloud‑Native Container Monitoring

This article details Qunar’s migration from a traditional Prometheus‑based monitoring stack to VictoriaMetrics, describing the challenges of large‑scale container metrics collection, the architectural redesign using VM‑Cluster, vmagent, and vmalert, and the performance improvements achieved after full replacement.

Cloud NativeKubernetesMonitoring

0 likes · 14 min read

Qunar’s Experience Replacing Prometheus with VictoriaMetrics for Cloud‑Native Container Monitoring

DataFunSummit

Oct 24, 2022 · Databases

Intelligent Operations: Challenges and Solutions with the IoTDB Time‑Series Database

This article examines the data challenges faced by intelligent operations (AIOps), evaluates IoTDB against other time‑series databases through performance benchmarks, outlines Cloudwise's architecture and open‑source contributions, and presents real‑world case studies demonstrating anomaly detection and root‑cause analysis in industrial settings.

AIOpsBig DataIntelligent Operations

0 likes · 15 min read

Intelligent Operations: Challenges and Solutions with the IoTDB Time‑Series Database

Efficient Ops

Aug 14, 2022 · Databases

How TDengine 3.0 Redefines Cloud‑Native Time‑Series Databases

The TDengine Developer Conference in Beijing unveiled the open‑source, cloud‑native TDengine 3.0, detailing its revolutionary architecture that tackles high‑cardinality challenges, introduces RAFT‑based distribution, and showcases real‑world IoT and IT‑operations case studies where enterprises dramatically improved performance and reduced costs.

Cloud NativeIoTTDengine

0 likes · 11 min read

How TDengine 3.0 Redefines Cloud‑Native Time‑Series Databases

AntTech

Aug 2, 2022 · Databases

Introducing CeresDB: An Open‑Source Distributed High‑Performance Time Series Database

CeresDB, a distributed high‑availability time‑series database originally built at Ant Group, is now open‑sourced with version 0.2.0, offering high‑throughput writes, multi‑dimensional queries, SQL support, compatibility with Prometheus and OpenTSDB, and a range of features targeting both monitoring and analytical workloads.

CeresDBDistributed SystemsSQL

0 likes · 11 min read

Introducing CeresDB: An Open‑Source Distributed High‑Performance Time Series Database

DataFunTalk

Jul 11, 2022 · Big Data

Predictive Maintenance (PdM): Value, Technical Roadmaps, Time‑Series Database Selection, and Real‑World Cases

This article explores the value and evolution of predictive maintenance (PdM), outlines common technical approaches—including signal processing, mechanism + big‑data, digital twin, and AI—examines time‑series database choices such as MatrixDB, presents case studies and practical insights, and concludes with reflections on industrial digital transformation.

Big Datadigital twinindustrial IoT

0 likes · 15 min read

Predictive Maintenance (PdM): Value, Technical Roadmaps, Time‑Series Database Selection, and Real‑World Cases

DataFunTalk

Jul 6, 2022 · Databases

Apache IoTDB Overview: Open‑File Time Series Database, TsFile Format, Architecture and Community

This article introduces Apache IoTDB, an open‑file based time‑series database designed for industrial IoT, explains its TsFile storage format, data modeling options, layered architecture (embedded, edge, cloud), performance advantages over traditional formats, and highlights the active open‑source community and real‑world deployments.

Apache IoTDBBig DataIoT

0 likes · 18 min read

Apache IoTDB Overview: Open‑File Time Series Database, TsFile Format, Architecture and Community

DataFunTalk

Jun 23, 2022 · Big Data

Real‑Time Low‑Latency Log Monitoring and Storage at Ctrip: Architecture, Clog System, CAT Tracing, and TSDB

This article details Ctrip's large‑scale, real‑time log monitoring solution, covering the overall monitoring architecture, the Clog log system, the CAT tracing platform, and the TSDB metric store, and explains design choices such as write‑heavy indexing, segment‑based storage, and migration to ClickHouse for high‑cardinality data.

Big DataDistributed SystemsIndexing

0 likes · 11 min read

Real‑Time Low‑Latency Log Monitoring and Storage at Ctrip: Architecture, Clog System, CAT Tracing, and TSDB