time-series
High-performance time-series data warehouse built on DuckDB, Parquet, and MinIO.
Time-series data warehouse built for speed. 1.89M records/sec on native deployment. DuckDB + Parquet + MinIO. AGPL-3.0
Forecasting at scale.
Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
Prophet is a procedure for forecasting time series data based on an additive model where non-linear trends are fit with yearly, weekly, and daily seasonality, plus holiday effects. It works best with time series that have strong seasonal effects and several seasons of historical data. Prophet is robust to missing data and shifts in the trend, and typically handles outliers well.
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TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting.
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The Single Database for Big Observability. Fast, Efficient, Single Database for Real-Time Observability. The real-time, cloud-native observability database for metrics, logs, and traces, providing sub-second insights from edge to cloud—at any scale.
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Next-generation time-series database. Peak time-series performance.
QuestDB is the world's fastest growing open-source time-series database. It offers massive ingestion throughput, millisecond queries, powerful time-series SQL extensions, and scales well with minimal and maximal hardware. Save costs with better performance and efficiency.
Scalable, Open Source, Logs DB & Logging Solution.
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Open Source Metrics Engine. Distributed TSDB and Query Engine, Prometheus Sidecar, Metrics Aggregator, and more such as Graphite storage and query engine.
M3 is a Prometheus compatible, easy to adopt metrics engine that provides visibility for some of the world’s largest brands.
Apache IoTDB (Database for Internet of Things) is an IoT native database with high performance for data management and analysis, deployable on the edge and the cloud. Due to its light-weight architecture, high performance and rich feature set together with its deep integration with Apache Hadoop, Spark and Flink, Apache IoTDB can meet the requirements of massive data storage, high-speed data ingestion and complex data analysis in the IoT industrial fields.
PostgreSQL ++ for time series and events. An open-source time-series SQL database optimized for fast ingest and complex queries. Packaged as a PostgreSQL extension.
TimescaleDB is an open-source database designed to make SQL scalable for time-series data. It is engineered up from PostgreSQL and packaged as a PostgreSQL extension, providing automatic partitioning across time and space (partitioning key), as well as full SQL support.
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The Most Advanced Time Series Platform.
Warp 10 is a modular open source platform shaped for the IoT that collects, stores and allows you to analyze sensor data. It offers both a Time Series Database and a powerful analysis environment that can be used together or independently.
Fast SQL for time-series
QuestDB is an open-source time-series database for high throughput ingestion and fast SQL queries with operational simplicity. It supports schema-agnostic ingestion using the InfluxDB line protocol, PostgreSQL wire protocol, and a REST API for bulk imports and exports.
Graphite make it easy to store and graph metrics.
Graphite is an enterprise-ready monitoring tool that runs equally well on cheap hardware or Cloud infrastructure. Teams use Graphite to track the performance of their websites, applications, business services, and networked servers. It marked the start of a new generation of monitoring tools, making it easier than ever to store, retrieve, share, and visualize time-series data.
Warp 10 is a modular open source platform shaped for the IoT that collects, stores and allows you to analyze sensor data.
Monitoring system & time series database. Power your metrics and alerting with a leading open-source monitoring solution.
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