CAMPBELL, CA, Sept. 20, 2022 (Globe Newswire) – TDengine™ released today TDengine CloudA fully managed, open source, cloud time series data platform. TDengine Cloud allows organizations to easily start, run, and scale the TDengine time series data platform in AWS, Azure, and Google Cloud.
Released as open source software in 2019, TDengine has earned over 19,000 stars on GitHub and over 154,000 instances in 50 countries around the world. The TDengine data platform It combines database, caching, stream processing, and data subscription as a complete, purpose-built solution for time series data. TDengine solves the common problem of high object counts with a unique architecture that supports billions of data points while outperforming general-purpose and legacy time-series databases in data ingest, query, and compression.
“Not all companies have the expertise, time, or resources to fully support their time-series database infrastructure, especially as data flows and state scale use continues,” said Jeff Tao, founder and CEO of TDengine. “TDengine Cloud enables developers to stand on a time-series data platform in seconds and removes all the running and management burdens that are underway now as these applications and use cases grow in the future.”
The company revealed last month TDengine 3.0.0 Update, providing a fully distributed architecture with support for Kubernetes and containers. It separates computing and storage resources for dynamic scaling and deployment across public, private, and hybrid clouds. TDengine Cloud brings all the benefits of TDengine 3.0 into a fully managed, native cloud solution.
The main features and benefits of TDengine Cloud include:
- Simplified setup and management. With built-in caching, stream processing, and data subscription, TDengine greatly reduces the tools needed to start, run, and manage time-series data at scale. New super tables provide one-time configurations for similar devices. As a managed service, TDengine Cloud handles all collection, backup and data retention for easy and straightforward management.
- Quick and easy ingestion of data. Users have a variety of options for simplified data ingestion. This includes: writing data directly into the platform using the standard SQL language; Take advantage of a variety of connectors for popular programming languages; Using the MQTT broker to send data directly to TDengine without any code; or using planned insertion protocols.
- Easiest data analytics and sharing. Developers can quickly access data using Python, Java, Go, Rust, and Node.js connectors. Dashboards and apps can simply subscribe to topics and flow, including persistent, event-driven queries for accounts and alerts. Edge-to-cloud and cloud-to-cloud sync replicate data to every corner of the organization.
- Ready project. TDengine Cloud is enterprise ready with powerful backup, multi-cloud replication, unlimited users, user privilege control, user actions review, VPC parity, and IP whitelisting. And TDengine provides professional technical support for enterprise customers to ensure the success of your cloud service.
New users can register at https://cloud.tdengine.com Get a free account and browse a short tutorial to understand the possibilities and benefits of using TDengine to unleash the power of your time series data.
About TAOS Technology
TDengine™ is a popular open source data platform designed for time series data. With over 19,000 stars on GitHub and hundreds of new playbacks daily, TDengine is used in more than 50 countries around the world. The company has raised $70 million in venture capital, including a $47 million 2021 Series B round from MatrixPartners China, Sequoia Capital China, GGV Capital and Index Capital. Learn more through www.tdengine.com.
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