High-performance, scalable time-series database designed for Industrial IoT (IIoT) scenarios
-
Updated
Dec 26, 2024 - C
High-performance, scalable time-series database designed for Industrial IoT (IIoT) scenarios
An open-source time-series SQL database optimized for fast ingest and complex queries. Packaged as a PostgreSQL extension.
QuestDB is a high performance, open-source, time-series database
A cloud-native open source distributed time series database with high performance, high compression ratio and high availability. http://www.cnosdb.cloud
An embedded time-series database
CNCF sandbox project, an open source distributed time-series database with high concurrency, high performance, and high scalability
Time-series database
Resources for working with time series and sequence data
Rust Client for the InfluxDB Time Series Database
The tiny time series database optimized for your happiness.
a Python toolbox loads 172 public time series datasets for machine/deep learning with a single line of code. Datasets from multiple domains including healthcare, financial, power, traffic, weather, and etc.
High performance time series database
THIS REPO HAS MOVED TO https://github.com/apache/incubator-iotdb. TsFile is a columnar file format designed for time-series data, which supports efficient compression and query. It is easy to integrate TsFile with your IOT big data processing frameworks.
machbase-neo = time series database + mqtt + http + data visualization
TickTockDB is an OpenTSDB-like time series database, with much better performance.
Basic Rules of Cassandra Data Modeling
Time Series Database based on Cassandra with Prometheus remote read/write support 🗄️
Document for GreptimeDB
Python 3 interface to the HECLIB (Version 6 only) for 64 bit using SWIG. Primarily to provide access to HEC-DSS format
IginX -- An open-source clustering system for multi-dimensional scaling of standalone time series databases through generalized sharding.
Add a description, image, and links to the time-series-database topic page so that developers can more easily learn about it.
To associate your repository with the time-series-database topic, visit your repo's landing page and select "manage topics."