QuestDB is a high performance, open-source, time-series database
-
Updated
Dec 23, 2024 - Java
QuestDB is a high performance, open-source, time-series database
The world's fastest open query engine for sub-second analytics both on and off the data lakehouse. With the flexibility to support nearly any scenario, StarRocks provides best-in-class performance for multi-dimensional analytics, real-time analytics, and ad-hoc queries. A Linux Foundation project.
Best-in-class stream processing, analytics, and management. Perform continuous analytics, or build event-driven applications, real-time ETL pipelines, and feature stores in minutes. Unified streaming and batch. PostgreSQL compatible.
Postgres for Search and Analytics
Apache Paimon is a lake format that enables building a Realtime Lakehouse Architecture with Flink and Spark for both streaming and batch operations.
Multi-camera live traffic and object counting with YOLO v4, Deep SORT, and Flask.
CLI tool for Smart Contract error tracking, monitoring and alerting.
Real-time multi-camera multi-object tracker using YOLO varients
Dagger is an easy-to-use, configuration over code, cloud-native framework built on top of Apache Flink for stateful processing of real-time streaming data.
MAGE - Memgraph Advanced Graph Extensions 🔮
An end-to-end data engineering pipeline that orchestrates data ingestion, processing, and storage using Apache Airflow, Python, Apache Kafka, Apache Zookeeper, Apache Spark, and Cassandra. All components are containerized with Docker for easy deployment and scalability.
Data stream analytics: Implement online learning methods to address concept drift and model drift in data streams using the River library. Code for the paper entitled "PWPAE: An Ensemble Framework for Concept Drift Adaptation in IoT Data Streams" published in IEEE GlobeCom 2021.
Apache Paimon Rust The rust implementation of Apache Paimon.
Streaming Ethereum and Bitcoin blockchain data to Google Pub/Sub or Postgres in Kubernetes
Tools for Patching the Rasbian kernel with RT-Preempt.
Project for real-time anomaly detection using Kafka and python
BangDB - nosql database
An online learning method used to address concept drift and model drift. Code for the paper entitled "A Lightweight Concept Drift Detection and Adaptation Framework for IoT Data Streams" published in IEEE Internet of Things Magazine.
Blockchain ETL Architecture
DDoS mitigation using null routing
Add a description, image, and links to the real-time-analytics topic page so that developers can more easily learn about it.
To associate your repository with the real-time-analytics topic, visit your repo's landing page and select "manage topics."