DoubleCloud: Build Data Analytics Infrastructure in One Day
DoubleCloud is a managed data analytics platform that consolidates open-source technologies (like ClickHouse, Kafka, and Airflow) into fully managed services. It aims to help engineering teams accelerate the creation of analytics solutions—from ingestion to visualization—without the overhead of maintenance, scaling, or complex deployments.
Overview
- Provides managed services for real-time analytics, data streaming, and workflow orchestration:
- Managed Service for ClickHouse® (fastest OLAP database for real-time analytics)
- Managed Service for Apache Kafka® (large-scale data streaming)
- Managed Service for Apache Airflow® (orchestrate and monitor workflows)
- No-code ELT data transfer tool for aggregating, collecting, and migrating data
- Real-time data visualization to build dashboards and charts
- Deployments on major cloud providers (AWS or Google Cloud)
- Emphasis on performance, security, and cost efficiency
How It Works
- Choose services: Pick managed Open-Source services (ClickHouse, Kafka, Airflow) or use the platform’s broader capabilities (data storage, orchestration, ELT, real-time visualization).
- Automated deployment: Use Terraform or API for automated provisioning and scaling.
- Data integration: Leverage the no-code ELT tool for real-time data syncing between systems.
- Visualization: Build real-time dashboards with the integrated data visualization tools.
- Maintenance-free ops: The platform handles sharding, backups, auto-scaling, updates, and security patches.
By Use Case
- Real-time analytics and dashboards for business insights
- Observability and monitoring across logs, events, and traces
- AdTech and MarTech data analytics (ads data from Meta, Google, LinkedIn, etc.)
- Analytics for mobile and gaming apps
- EdTech data analytics for learning analytics and sales opportunities
- FinTech data analytics for large-scale financial data processing
By Industry
- AdTech and MarTech data analytics
- Mobile and Gaming analytics
- EdTech analytics
- FinTech analytics
Resources
- Documentation, API tutorials, and Terraform guides
- Status updates and support
- Webinars, blogs, and ebooks
Company Vision and Value
- Build analytics infrastructure in one day
- Zero-maintenance open-source solutions integrated and managed
- Comprehensive platform including data storage, ELT, orchestration, and visualization
- Focus on developer experience with automated deployments and secure, scalable operations
Pricing and Capabilities
- Pay-as-you-go with no hidden costs
- BYOC (bring-your-own-cloud) options to preserve existing cloud pricing and discounts
- Cost optimization strategies (free services, backups, cross-AZ, etc.)
- S3 hybrid storage to save disk space
Core Features
- Managed Service for ClickHouse®: fastest real-time OLAP database with millisecond queries
- Managed Service for Apache Kafka®: scalable data streaming for large data workloads
- Managed Service for Apache Airflow®: orchestration and monitoring of data workflows
- No-code Data Transfer (ELT): real-time data integration between systems
- Real-time Data Visualization: dashboards and charts for live analytics
- Fully managed infrastructure: automated sharding, backups, auto-scaling, and updates
- Deployment automation via Terraform or API
- Security and compliance: TLS 1.2+; ISO 27001, SOC 2, GDPR, PCI DSS, CCPA compliance
- Flexible cloud deployment: AWS or Google Cloud
- Cost optimization and BYOC options
How to Use DoubleCloud
- Select desired managed services (ClickHouse, Kafka, Airflow) and optional ELT/Data Visualization components.
- Provision resources via Terraform or API.
- Connect data sources through the no-code ELT tool.
- Build real-time dashboards and monitor analytics.
- Rely on automated maintenance, security updates, and scalability.
Safety and Compliance
- Data handling is designed to be secure and compliant with major standards (ISO 27001, SOC 2, GDPR, PCI DSS, CCPA).
- Users should ensure their data usage aligns with applicable laws and policies.
Summary
DoubleCloud provides a one-stop, managed platform for building and operating data analytics infrastructure—from ingestion and ELT to real-time analytics and visualization—while prioritizing performance, security, and ease of use. It enables engineers to deploy robust analytics solutions quickly without the heavy lifting of managing open-source components themselves.