Powerful & Easy way for big data discovery
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Updated
Apr 8, 2024 - TypeScript
Powerful & Easy way for big data discovery
Full stack data engineering tools and infrastructure set-up
Comparison of batch and real time OLAP databases
Terraform module to deploy Apache Druid in Kubernetes
A comprehensive Model Context Protocol (MCP) server for Apache Druid that provides extensive tools, resources, and AI-assisted prompts for managing and analyzing Druid clusters. Built with Spring Boot and Spring AI, this server enables seamless integration between AI assistants and Apache Druid through standardized MCP protocol.
The all-in-one, airgapped Local AI. Ypipe bundles a high-performance inference engine, specialized models, and pre-configured MCP servers into a single, self-contained Java executable. Zero-dependency orchestration for autonomous agent workflows with 100% data sovereignty. No cloud, no Python hell - just industrial-grade local intelligence.
Kubernetes operator for Apache Druid. Deploy and run Druid clusters with the Stackable Data Platform (SDP).
End to End Distributed Deep Learning Engine, works both with Streaming and Batch Data built using Apache Flink
Druid Exporter plays a fundamental role as a receiver of metrics events coming from Druid clusters, adopting the HTTP format as a means of communication. In addition to this capability, its primary function is to export these metrics to Prometheus, thus allowing the creation of meaningful graphs and visualizations.
A tutorial for lookup feature in Apache Druid
Example streaming data platform for web analytics: Go ingestion, Apache Kafka, Apache Beam on Flink/Spark, Apache Druid OLAP, Redash. Terraform + Helm.
A collection of jar files that make up a DataGrip driver able to query Apache Druid
Move data from Amazon Redshift to other sources like Amazon S3, Apache Druid and more
Build importable RUCKUS One Data Studio (Superset) dashboards from a simple spec — via MCP or CLI.
Data streaming project with Apache Druid & Grafana: Real-time data processing, alerts, integration with AWS. It uses a combination of technologies and services, including Confluent-Kafka, Apache Druid, AWS SNS, EC2, Athena, S3, Glue and EventBridge, StepFunctions. Contribute to this powerful solution!
NoSQL time-series databases
Apache Druid playground with Docker Compose: Kafka ingestion of generated events and Druid SQL queries. A local sandbox for real-time OLAP.
A complete, cross-platform Apache Druid cluster for local development, testing, and learning. Sets up all core Druid services with a single command using Docker Compose.
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