Expert Apache Druid Artificial Intelligence Consulting, Support & Managed Services
Unlock Peak Business Performance with Apache Druid Consulting
How do you solve complex Apache Druid challenges?
iunera transforms your complex time-series data challenges into production-ready value . Our expert Apache Druid consulting focus is on: Performance Tuning & Query Optimization , Advanced Data Modeling & Ingestion, and Enterprise & AI Integration .We provide hands-on, expert-led engagements focused on implementing and optimizing your specific use cases and business processes, all within a framework of European Security & Compliance.
If Query Performance, Data Model, Ingestion, Integration and DevOps Apache Druid challenges sound familiar: You are not alone!
Your performance issues can likely be traced back to one of the following areas in Apache Druid:
- Query Optimization
- Advanced Data Modeling
- Compaction
- Rollups
Our experts specialize in advanced data modeling for high-cardinality data. While a smart data model is the foundation, we also tackle Apache Druid query performance and data model issues head-on. We support you with Strategic Query Tuning, Cluster & Caching Optimization and Intelligent Data Layout to eliminate query and data model bottlenecks. This is the foundation to keep your Apache Druid Cluster scaling and the data model extensible for future AI use cases.
Likely your cluster struggles to keep up with user load or your Devops Team is overwhelmed by the complexity of deploying, scaling, and managing a production-ready Apache Druid cluster.
Yes, managing a production-grade Druid cluster is a complex, full-time endeavor that can easily divert your DevOps team from core business initiatives. Reactive firefighting, scaling challenges, and configuration complexities are common issues that lead to instability and poor performance.
We can help you to get your team and Apache Druid Installation ready with Comprehensive Cluster Management & Optimization, Automated Operations & Proactive Monitoring and Architecture Blueprinting & Cost Control.
Our support is delivered in an Expert Partnership: We leverage a modern GitOps approach, using Git as the single source of truth for your Apache Druid cluster’s configuration. This enables fully automated, repeatable, and auditable deployments and scaling, resulting freeing your DevOps teams to focus on features that drive business value, rather than managing complex data infrastructure.
Your integration challenges likely stem from a few key areas unique to Druid’s architecture, especially when dealing with massive time-series datasets:
Data Model Paradigm Shift: Druid’s sub-second performance relies on a denormalized, event-oriented data model where every record has a timestamp. This is a significant change from traditional relational databases and can make complex JOINs a major performance bottleneck.
Upstream Pipeline Complexity: To handle massive time-series data effectively, Druid’s flattened data model often requires building and maintaining complex ETL/ELT pipelines before ingestion. This pre-processing adds significant operational overhead and latency to your data stack.
AI & Forecasting Model Integration: Powering AI forecasting models requires more than just massive data volumes; it demands a correctly structured, real-time feature store. This involves advanced data modeling to serve insights efficiently without compromising the query performance Druid is known for.
Our experts help you build a seamless and high-performance data stack. We design efficient data pipelines and optimal data models specifically for massive time-series workloads, eliminating performance bottlenecks. We specialize in structuring your data to serve as a real-time feature store, powering your AI forecasting models with the speed and scale your business demands.
How can we help you to achieve your business goals with Apache Druid better?
We empower your enterprise for advanced Apache Druid AI and machine learning with hands-on experience. Our services range from foundations such as intricacies of architecture, authorization, Apache Druid on Kubernetes, performance tuning, and operations to build scalable, reliable, and cost-effective Apache Druid solutions. We cover the complete stack up till complex solutions such as time-series forecasting to integrating Apache Druid data with generative AI solutions like OpenAi ChatGPT, Google Gemini, xAi Grok, and Claude Sonnet.
Why iunera can enable you best to reach your business goals with Apache Druid?
Our deep expertise in Apache Druid combined with our unique and transparent track record in big data cloud infrastructure, analytics, machine learning and AI helps you to achieve your business goals better and faster. Do not take our word for it and control us by investigating our open-source contributions, in special for Data Science and AI solutions and our Apache Druid articles.
Where can we support you?
As specialist Apache Druid consultants for Germany, Switzerland, France, and Austria, we are your premier partner in the DACH region and the broader European market. We provide localized on-site in cities like Berlin, Munich, Hamburg, Frankfurt, Zurich, Geneva, Paris, and Vienna. Aside that, we offer flexible remote consulting for Apache Druid worldwide . Wherever you are, our expert guidance helps you navigate both technical complexities, conceptual challenges and the compliance to stringent data governance requirements such as GDPR.
The Challenge: Unlocking Druid’s Power Requires Navigating Its Complexity
While Apache Druid delivers unparalleled performance for real-time analytics, self-managing it at an enterprise scale presents significant technical and operational hurdles. Many organizations struggle to move beyond initial deployments to create a truly optimized and scalable analytics platform, putting their Return on Data (RoD) at risk.
Architectural Hurdles
Deploying and configuring Apache Druid’s complex, multi-process architecture for high availability and fault tolerance is a non-trivial task. Implementing this in a declarative, GitOps style adds another layer of sophistication, demanding a deep understanding of both Apache Druid and k8s-native best practices to create a truly resilient and automated analytics platform.
Complex Time-Series Data Modeling
Effectively using the Apache Druid Time Series Database goes far beyond simple data ingestion; it requires a deep understanding of how to model and roll up data based on time-series patterns to ensure both storage efficiency and query speed. With over a decade of hands-on experience, we have mastered this challenge across a vast range of use cases, including analytics data, real-time web visitor analytics and selective engagement, financial data, public transport passenger numbers, CCTV trajectories, people movement, WiFi tracking, and parking solutions.
Performance Bottlenecks
Achieving sub-second query latency at scale demands continuous, expert-level tuning. This includes everything from ingestion specs and data partitioning to JVM memory management and cluster configurations to avoid common issues like Out of Memory errors or straggling sub-queries.
Operational Overhead
Managing the entire deployment lifecycle through GitOps, handling upgrades, ensuring data integrity, and troubleshooting frequent issues in data ingestion pipelines can consume significant engineering resources. This operational burden distracts your team from core business initiatives and can act as a barrier to realizing the technology’s full potential.
AI Integration and Enablement
Apache Druid can be hard to be integrated into different AI use cases. Such use cases rank from integrations into AI powered search and generation scenarios to time-series forecasting, Anomaly detection, enabling specific departments to interact with Apache Druid in natural language with the data and further. The newness of AI technology and the combination with Apache Druid creates new complexities. We have experience with Artificial Intelligence, Time Series data and Apache Druid and can guide you to the best solutions for your business.
Powering Your Most Demanding Time-Series Use Cases
Our expertise with Apache Druid, time-series data and machine learning translates directly into business value, enabling you to successfully implement and scale Apache Druid for your most critical real-time analytics needs.
Human Mobility &
Footfall Analysis
Conversational Analytics &
User Behavior
Digital Marketing &
Ad-Tech Analytics
Real-Time Fraud &
Anomaly Detection
Our Consulting Services
Your Path to an Optimized Apache Druid
Our consulting services are designed for organizations that need to solve their most difficult Apache Druid challenges. We provide hands-on, expert-led engagements focused on implementing and optimizing your specific use cases and business processes within the European regulatory landscape.
Architecture & Performance Optimization
We optimize your Druid environment from architecture to query performance. Our experts assess your setup for scale and reliability, then dive deep to eliminate bottlenecks and fine-tune configurations. This holistic approach delivers a high-performing platform, reduced infrastructure costs, and a superior user experience.
AI Integration into Enterprise Data
We help you bridge the gap between your real-time data and advanced AI capabilities. Leveraging our pioneering work on the Druid MCP Server, we design and implement solutions that allow for conversational AI, anomaly detection, and predictive analytics to be integrated directly with your Druid data, unlocking new dimensions of data interaction and insight.
Kubernetes-Native & GitOps Deployment
We guide you in implementing a modern, enterprise-grade Druid infrastructure on Kubernetes. Leveraging our proven blueprints, including our open-source druid-cluster-config, we help you build a scalable, secure, and automated deployment using GitOps principles.
Advanced Ingestion Pipelines
We design and implement robust solutions for your most complex data ingestion challenges. For unique transformation and enrichment needs that are impossible with native capabilities, we leverage our code-ingestion-druid-extension to build streamlined, efficient pipelines directly within Druid, reducing external dependencies and accelerating time-to-insight.
iunera’s Apache Druid Innovation Beyond Consulting
Our commitment to the Apache Druid ecosystem goes beyond consulting. We actively build and maintain open-source tools that solve critical challenges and push the boundaries of what’s possible with the technology. This work is tangible proof of our deep, market-leading expertise.
Druid MCP Server
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. This enables seamless integration between AI assistants and Apache Druid through standardized MCP protocol.
Druid Code Ingestion Extension
Complex Ingestion Made Simple A powerful Druid extension that allows for the execution of custom Java and Python code during ingestion. It enables sophisticated on-the-fly data transformations and enrichment, simplifying complex data pipelines.
Druid Cluster Config
Enterprise-Grade Deployment production-ready configuration for deploying a secure, scalable, and Kubernetes-native Druid cluster using modern GitOps workflows. It provides a blueprint for faster, more reliable, and more secure deployments.
Let’s Solve Your Druid Challenge
Ready to maximize the return on your Apache Druid investment? Schedule a no-obligation consultation with our experts to discuss your specific use case and learn how we can help you achieve your goals.
Read more about our hands-on Experience with Apache Druid
