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Draft:GreptimeDB - Wikipedia

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Instructions · What links here · GreptimeDB (talk: + · bio) · (log) · Copyvios report · reFill · Citation Bot · (Search: Google, Wikipedia) · Submitted 3 seconds ago by SUUam0319 (talk: D · +) · Last edited 3 seconds ago by SUUam0319

Submission declined on 20 November 2024 by MolecularPilot (talk).

This draft's references do not show that the subject qualifies for a Wikipedia article. In summary, the draft needs multiple published sources that are:

in-depth (not just passing mentions about the subject)
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Declined by MolecularPilot 26 days ago. Last edited by SUUam0319 3 seconds ago. Reviewer: Inform author.

This draft has been resubmitted and is currently awaiting re-review.

Comment: All the references provided are only to sources that are created by the people who run Greptime - thus not WP:INDEPENDENT. The other sources don't mention Greptime at all (PromQL) or only in passing - not significant coverage (YCombiner). MolecularPilot ^{🧪️✈️} 09:36, 20 November 2024 (UTC)

This article uses bare URLs, which are uninformative and vulnerable to link rot. Please consider converting them to full citations to ensure the article remains verifiable and maintains a consistent citation style. Several templates and tools are available to assist in formatting, such as reFill (documentation) and Citation bot (documentation). (November 2024) (Learn how and when to remove this message)

GreptimeDB
Developer(s)	Greptime Inc..^[1]
Initial release	15 November 2022; 2 years ago (2022-11-15)

Stable release	0.9.5 / 18 October 2024; 59 days ago (2024-10-18)^[2]

Repository	https://github.com/GreptimeTeam/greptimedb/
Written in	Rust
Operating system	Cross-platform
Type	Time series database
License	Apache 2.0
Website	greptime.com

GreptimeDB is an open-source, cloud-native time series database^[3] designed to handle large-scale metrics, logs, and events. Developed by Greptime Inc., it is implemented in Rust and offers support for SQL and PromQL as its primary query languages.

GreptimeDB is compatible with widely used database protocols and APIs, such as InfluxDB, OpenTelemetry, Prometheus, Elasticsearch, and Loki. The database is mainly applied to time series data management and analysis across diverse applications, including observability, IoT, and edge computing.

History

Greptime Inc.^[4] was founded by Xiaodan Zhuang (CEO), Ning Sun (CTO), and Jiachun Feng. GreptimeDB was open-sourced on November 15, 2022^[5]. It was specifically designed to address the challenges of managing large volumes of time-series data, particularly for IoT and observability applications^[6].

GreptimeDB is available in both standalone (single-process) and cluster configurations, offering flexibility to users in different deployment environments. The open-source release has allowed the community to contribute to its ongoing development and adoption.

Technical Overview

GreptimeDB abstracts metrics and logs into events, organizing them through three column types: tags, fields, and timestamp. The database supports SQL in processing all types of time-series data (metrics, logs, and events). The architecture follows a storage-compute separation design, where data is stored in object storage to minimize storage costs.

Supported protocols

GreptimeDB can integrate with various protocols^[7] for diverse time-series data ingestion^[8] and query needs.

MySQL: interaction using MySQL clients or libraries
PostgreSQL: connecting via PostgreSQL tools and drivers
InfluxDB Line Protocol: data ingestion from systems using InfluxDB
OpenTelemetry: data collection and tracing using OpenTelemetry
OpenTSDB: compatible with OpenTSDB
gRPC: RPC (Remote Procedure Call) capabilities for advanced integrations and custom application development
PromQL: native support for Prometheus Query Language (PromQL)
HTTP API: REST APIs for data ingestion and management

References

^ https://greptime.com
^ "GreptimeDB v0.9.5 release notes". Retrieved 18 Oct 2024.
^ Struckov, Alexey; Yufa, Semen; Visheratin, Alexander A.; Nasonov, Denis (2019-01-01). "Evaluation of modern tools and techniques for storing time-series data". Procedia Computer Science. 8th International Young Scientists Conference on Computational Science, YSC2019, 24-28 June 2019, Heraklion, Greece. 156: 19–28. doi:10.1016/j.procs.2019.08.125. ISSN 1877-0509.
^ "Greptime Linkedin Profile".
^ "【技术科普】从Greptime聊时序数据库 | DevmoreWork". Apple Podcasts. Retrieved 2024-12-13.
^ "CNCF On demand webinar: Ingesting Data into GreptimeDB Using InfluxDB Line Protocol". CNCF. Retrieved 2024-12-13.
^ "GreptimeDB Installation Guide".
^ "Ingest MQTT Data into GreptimeDB | EMQX Docs". docs.emqx.com. Retrieved 2024-12-13.

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