The team has been working on an interesting project, now it's time to reveal the secret -- let me introduce GreptimePlay, an interactive computational document playground, which enables users to edit code and see the output instantly while navigating through GreptimeDB documentation. This innovative tool enhances the efficiency of learning how to use GreptimeDB. This article walks you through the designing principles, technical implementations, and future iteration plans of GreptimePlay.

Time-series databases are domain-specific databases. Ideally, we assume that data is written in real-time and in a sequential manner. However, in the real world, the situations are often more complex. Data may be out of order due to sensor failures, network latency, power outage,etc, posing challenges to time-series databases. In this article, we dive into the impact of out-of-order data in time-series databases and learn how to optimize its handling.

A recap of the past two-weeks progress and changes happened on GreptimeDB.

Rust, a multi-paradigm, high-level, general-purpose programming language, has become increasingly popular in recent years. In spite of its popularity, numerous junior programmers and students still find it challenging to grasp. This article aims to delve into the origins and advantages of Rust and provide valuable resources for those interested in learning more about this programming language.

A recap of the past two-weeks progress and changes happened on GreptimeDB.

Thanks to the joint effort from our team and community, we are excited to announce the release of GreptimeDB v0.2. This post provides an overview of our accomplishments since the release of v0.1 and what we intend to do next.

This article introduces how Greptime leverages GitOps to create an efficient DevOps workflow. We discuss the relationship between IaC and GitOps, elaborate on the key elements and advantages of GitOps, and share the crucial technical decisions made by Greptime during the implementation process.

A recap of the past two-weeks progress and changes happened on GreptimeDB.

GreptimeDB v0.1 has been released, providing an initial but fairly dependable standalone version that anyone can use. As programmers, we barely face industrial scenarios that generate huge amounts of data in our daily work. Then how can we appreciate the advantages of time-series database in solving practical problems? Our engineering colleagues have created a straightforward script along with various queries and GreptimeDB to analyze keyboard usage behavior, and have achieved many intriguing findings.

A recap of the past two-weeks progress and changes happened on GreptimeDB.

Procedure is a new feature currently under development in GreptimeDB. Introducing the Procedure framework helps to record the progress of multi-step operations in the database and automatically retry failed operations to ensure their completion. This article will briefly introduce what the Procedure framework is, as well as our approach to implementing Procedure Framework.

In the past few years, the rising popularity of the Internet of Things (IoT) and the need for real-time data has resulted in a significant surge in the adoption of time series databases (TSDBs). If you are unfamiliar with TSDBs, this article provides a comprehensive introduction to what they are and why specialized databases are necessary for time-series data.

A recap of the past two-weeks progress and changes happened on GreptimeDB.

GreptimeCloud is designed as a fully managed database cloud service at an enterprise level, with a focus on time-series data. Currently, it has achieved its initial milestone of allowing internal testing to be open for applications. This article will explore the design principles of GreptimeCloud with the goal of creating a smooth and efficient user experience.

Calling asynchronous Rust code in a synchronous context may lead to problems, particularly for beginners who are unfamiliar with asynchronous Rust runtime, such as Tokio. In this blog post, we will be discussing a particular problem that we came across and the approach we took to identify and resolve it.

Thanks to the joint effort from our team and community, we are excited to announce the release of GreptimeDB v0.1. With v0.1, Python is supported natively for most scripting capabilities, and PromQL is also initially supported. This post provides an overview of our accomplishments for the past few months and what we intend to do next.

A recap of the past three-weeks progress and changes happened on GreptimeDB.

As the main query language within Prometheus, PromQL helps to explore and visualize time series data. Our last blog introduces the basic concept and illustrates the main differences between PromQL and SQL. In this blog, we are going to dig a bit deeper into the back-end, showing you how data is processed and calculated in PromQL and introduce how GreptimeDB implements promql-parser to offer GreptimeDB better Prometheus compatibility.

PromQL is widely recognized as the most commonly used query language in cloud-native Observability. This article provides a brief analysis of the history and features of PromQL, illustrating its advantages over SQL through simple examples.

A recap of progresses and changes that happened on GreptimeDB during the past three weeks.

With the prospering of cloud-native technologies, on-premises database operations face increasing challenges. This article discusses how GreptimeDB team design the operation system in the cloud-native era.

A recap of the past two-weeks progress and changes happened on GreptimeDB

This article discusses a long-standing issue on async cancellation we encountered when building GreptimeDB, providing an interim solution to this issue together with our thoughts and insights. Open for discussions!

Shortly after our time series database GreptimeDB being open-sourced, the Dashboard is on GitHub too! This article introduces why and how we design this Dashboard to fit time series scenarios and its future iteration plans.

A recap of the past two-weeks progress and changes happened on GreptimeDB

This blog introduces the design concepts of the GreptimeDB storage engine, explaining how and why we planned smart indexes and adaptive compression functions for time series scenarios.

A recap of the past one-month progress and changes happened on GreptimeDB

A deep dive into the architecture of GreptimeDB, a cloud-native Database with high availability, reliability, and scalability, along with enhanced analytical ability

This roadmap presents goals our team is working on and concepts we have for our shared community for 2023.

Greptime just announced the completion of a multi-million dollar angel round of financing with Glory Ventures as the leading investor.

Greptime hit the No. 1 trending repo on GitHub and stayed on the top for 3 consecutive days! A big THANK YOU for all the support from the community!

We are now open-sourcing Greptime, a wholly distributed and cloud-native time-series database, to get value from real-time data. Learn how and why we built Greptime and try creating on your own.