High performance datastore for time series and tick data
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Updated
Apr 8, 2024 - Python
High performance datastore for time series and tick data
Apache HoraeDB (incubating) is a high-performance, distributed, cloud native time-series database.
Fast scalable time series database
Time Series data structure for Redis
🕖 A curated list of awesome time series databases, benchmarks and papers
If you can measure it, consider it predicted
A lightweight time-series database written in Rust. Embed it, run it as a server, or scale it as a cluster.
Future development of redis-timeseries is at github.com/RedisLabsModules/redis-timeseries.
Time-series database and pub/sub messaging server for IoT and real-time devices, in Go: an embeddable storage engine with TTLs, wildcard topics and encryption, and a clustered server over gRPC, TCP and WebSocket with replication and rolling upgrades.
Template to quickstart streaming analytics using Apache Kafka for ingestion, QuestDB for time-series storage and analytics, Grafana for near real-time dashboards, and Jupyter Notebook for data science
A C# client object model to help integrate with InfluxDB with CLI languages. Supports both .Net traditional and .Net Core.
Durable time-series database that's API-compatible with Prometheus.
Java Client for KairosDB
A distributed system for real-time flight tracking over Brazil, built with modern technologies and microservices architecture.
Time series analysis comprises methods for analyzing time series data in order to extract meaningful statistics and other characteristics of the data.
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