什么是DoubleCloud？
DoubleCloud was a managed data analytics platform that combined open-source services like ClickHouse, Apache Kafka, and Apache Airflow into one integrated infrastructure. It targeted engineering teams who needed to build real-time analytics pipelines without manual maintenance. The platform offered fully managed ingestion, storage, orchestration, and visualization. Note: DoubleCloud has wound down operations; this page is an archived reference.
DoubleCloud的核心功能有哪些？
- Managed Service for ClickHouse: Provides a fast OLAP database that queries billions of rows in milliseconds, ideal for real-time analytics workloads.
- Managed Service for Apache Kafka: Handles large-scale data streaming for applications that need high-throughput, fault-tolerant message ingestion.
- Managed Service for Apache Airflow: Orchestrates and monitors complex data workflows with a familiar open-source tool, reducing scheduling overhead.
- Data Transfer (No-Code ELT): Syncs data between systems in real time without writing code, with reported speeds 9x faster than Airbyte.
- Data Visualization: Offers a free built-in tool to create, modify, and share real-time dashboards and charts directly from your ClickHouse data.
- Automated Maintenance: Covers OS updates, backups, auto-scaling, sharding, and self-healing, so engineers can focus on product development instead of infrastructure.
DoubleCloud的使用案例有哪些？
- Engineering teams building real-time analytics dashboards for customer-facing metrics or internal monitoring.
- AdTech and MarTech analysts extracting and analyzing data from Meta, Google, and LinkedIn ads.
- Mobile and gaming app developers optimizing player behavior analytics with scalable ClickHouse queries.
- FinTech data engineers processing large volumes of financial transactions while maintaining compliance with TLS 1.2+ encryption.
如何使用DoubleCloud？
- Sign up for a DoubleCloud account and receive $300 in free credits to start testing.
- Select a cloud provider (AWS or Google Cloud) and region, then choose the resources (CPU, storage) for your ClickHouse cluster.
- Use the Data Transfer tool to connect your source data (e.g., databases, event streams) and schedule real-time syncs.
- Build charts and dashboards with the Data Visualization tool, then share them with your team or embed in applications.
