In 2024, through consistent and high-quality content production, the GreptimeDB social account gained over thousands of new followers ⬆️. Our top-performing article reached 10,000+ views and was shared over 300 times. We also rolled out comprehensive series such as the Vector, Rust, and Performance Reports, which garnered widespread praise and engagement from our readers ♥️.

Friends following Greptime have witnessed our exceptional content productivity this year (thanks to the incredible writing prowess of Greptime engineers 💜).

To keep delivering value and fostering a vibrant community, we've compiled the Annual Best Articles Leaderboard 📚, voted by database engineers, operations experts, and Rust enthusiasts. Let’s dive in and see if you missed any gems!

Top 10 Most-Read Articles of the Year

In 2024, we published over 150+ articles, including 80+ technical articles and 40+ event updates, along with regular technical biweekly reports. Based on historical reading and sharing data, we’ve curated a “Top 10 Most-Read Articles” list 👀 (click to read):

Title	Author
Error Handling for Large Rust Projects - Best Practice in GreptimeDB	Ruihang
5x Slower than Go? Optimizing Rust Protobuf Decoding Performance	Lei
Bridge Async and Sync Code in Rust - Best Practices with Tokio	Lei
Decoding Typing Habits with Streamlit and GreptimeDB Real-Time Data Visualization	tison
Unraveling Rust Memory Leaks:Easy-to-Follow Techniques for Identifying and Solving Memory Issues	Beryl
Kubernetes(K8s) Autoscaler — a detailed look at the design and implementation of VPA	Xiaohan
Memory Leak Diagnosing using Flame Graphs	Lei
An OpenTelemetry Python Example — Building a Tesla Monitor	David
Unlock Complex Time Series Analysis in SQL with Range Queries	Jingdi
GreptimeAI - Observability solution for LLM Apps	Sunng

Don’t Miss These Series

Beyond the top 10 articles, we’ve organized themed collections for readers with specific preferences 👀.

Dive Into Benchmark Analysis:

Our Performance Report Series provides detailed comparisons of GreptimeDB with popular databases like SQLite, ClickHouse, Elasticsearch, and InfluxDB:

• GreptimeDB vs. Grafana Mimir - First Official Benchmark for High Volume Write In Performance

• GreptimeDB vs. InfluxDB - Read and Write Performance Benchmark in Time-Series Databases

• GreptimeDB vs. ClickHouse vs. ElasticSearch — Log Engine Performance Benchmark

• GreptimeDB vs. SQLite - A Performance Comparison Report on the Qualcomm 8155 Platform

• GreptimeDB vs. InfluxDB, Elasticsearch, ClickHouse & More: A Comprehensive Benchmark Comparison

• ···

Track Version History:

The Version Updates Series showcases GreptimeDB’s iterative progress and key milestones:

• GreptimeDB v0.6 Released - Support Migrating Table's Regions between Datanodes

• Introducing GreptimeDB v0.7 — Unlock the Future of Cloud-Native Monitoring

• GreptimeDB v0.8 Launched — Introducing Flow Engine for Continuous Aggregation Capability

• GreptimeDB v0.9 Release — Unifying Metric and Log Analysis in a Single Time-Series Database

• GreptimeDB v0.10 now Live with Enhanced Log Processing, Smarter Features, and Boosted Performance

• ···

Master Operations and Maintenance:

Our Vector Series dives deep into this open-source tool, covering its applications and internal mechanisms:

• Vector now Support GreptimeDB Log Sink, Enabling Seamless Data Pipelines from Multiple Sources

• How to Efficiently Ingest Kafka Log Data into GreptimeDB Using Vector

• Vector in Action - An Open-Source Tool for Logs and Metrics Collection

• Hands on Kubernetes Monitoring Data Collection with Vector

• Vector Usage in Production Environments

• Introducing Buffer and Rate Limits in Vector - Handling Traffic Spikes

• ···

For Rust Enthusiasts:

The Rust Series highlights our practical experience with Rust in building GreptimeDB, sharing solutions to real-world challenges:

• 5x Slower than Go? Optimizing Rust Protobuf Decoding Performance

• Error Handling for Large Rust Projects - Best Practice in GreptimeDB

• Diagnosing Memory Leaks with Flame Graphs and Jemalloc

• ···

In Summary

Despite a challenging environment in 2024, we thrived in content production. Through continuous version iterations and real-world deployments, our articles have enriched not only our platform’s performance but also the technical expertise of our audience.

Here’s to an even better 2025! 🎉

About Greptime

Greptime offers industry-leading time series database products and solutions to empower IoT and Observability scenarios, enabling enterprises to uncover valuable insights from their data with less time, complexity, and cost.

GreptimeDB is an open-source, high-performance time-series database offering unified storage and analysis for metrics, logs, and events. Try it out instantly with GreptimeCloud, a fully-managed DBaaS solution—no deployment needed!

The Edge-Cloud Integrated Solution combines multimodal edge databases with cloud-based GreptimeDB to optimize IoT edge scenarios, cutting costs while boosting data performance.

Star us on GitHub or join GreptimeDB Community on Slack to get connected.