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July 8, 2024

Continuous Aggregation on GreptimeCloud - GreptimeCloud Update 4

A recap of the past several weeks progress and changes happened on GreptimeCloud.

Continuous aggregation is coming to GreptimeCloud Serverless. The feature was first introduced in Greptime OSS version 0.8, and also known as light-weighted streaming.

Before continuous aggregation, you will need to run the queue periodically to get the aggregation results. This can introduce latency and waste a lot of compute resource if multiple calls are issued. Continuous aggregation allows you to define a materialized view, which has a query associated with it. When new data is coming in, we automatically update the result and cached it in materialized view that is available for query without additional computation.

Find more information about this feature on our docs: https://docs.greptime.com/user-guide/flow-computation/overview

DBeaver compatibility

We listen to our users' feedback. Lack of GUI database management software support has been a pain for some of our users. This cycle, we enhanced our MySQL compatibility so now you can connect to your GreptimeCloud instance with DBeaver.

  1. Select MySQL data source
  2. Add MySQL connection information. You can find them from the Connect tab of GreptimeCloud console
  3. It works
DBeaver compatibility
DBeaver compatibility

Additional updates

  1. We have updated our Grafana connection guide to use our own plugin for visualization. This is available from the Connect tab on your cloud console.
  2. Dashboard UI has an update for a new user tour.

About Greptime

We help industries that generate large amounts of time-series data, such as Connected Vehicles (CV), IoT, and Observability, to efficiently uncover the hidden value of data in real-time.

Visit the latest version from any device to get started and get the most out of your data.

  • GreptimeDB, written in Rust, is a distributed, open-source, time-series database designed for scalability, efficiency, and powerful analytics.
  • Edge-Cloud Integrated TSDB is designed for the unique demands of edge storage and compute in IoT. It tackles the exponential growth of edge data by integrating a multimodal edge-side database with cloud-based GreptimeDB Enterprise. This combination reduces traffic, computing, and storage costs while enhancing data timeliness and business insights.
  • GreptimeCloud is a fully-managed cloud database-as-a-service (DBaaS) solution built on GreptimeDB. It efficiently supports applications in fields such as observability, IoT, and finance.

Star us on GitHub or join GreptimeDB Community on Slack to get connected. Also, you can go to our contribution page to find some interesting issues to start with.

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