Big Data Ecosystem

Tacnode seamlessly integrates with the modern big data ecosystem through its native PostgreSQL compatibility. Build powerful data processing pipelines, perform large-scale analytics, and orchestrate complex data transformations using the tools you already know and trust.

Supported Big Data Tools

🔄 Data Transformation

• dbt (Data Build Tool) - Modern data transformation workflows with SQL
• Apache Airflow - Workflow orchestration and scheduling
• Prefect - Modern workflow orchestration platform

⚡ Stream Processing

• Apache Flink - Real-time stream processing and analytics
• Apache Kafka - Event streaming and data pipelines
• Apache Storm - Distributed real-time computation

🔥 Batch Processing

• Apache Spark - Large-scale data processing and analytics
• Apache Beam - Unified batch and stream processing
• Hadoop MapReduce - Distributed computing framework

📊 Analytics & BI

• Apache Superset - Modern data visualization platform
• Metabase - Business intelligence and dashboards
• Grafana - Monitoring and observability dashboards

Key Benefits

PostgreSQL Compatibility

Use your existing PostgreSQL knowledge and tools without learning new interfaces or protocols. Tacnode's wire protocol compatibility ensures seamless integration.

Scalable Architecture

Leverage Tacnode's distributed, cloud-native architecture to handle massive datasets while maintaining familiar SQL semantics.

Flexible Deployment

Deploy your big data workloads across multiple cloud providers with Tacnode's multi-cloud support and automatic scaling capabilities.

Getting Started

To connect any big data tool to Tacnode:

1. Select PostgreSQL as your database connector or driver
2. Configure connection using your Tacnode cluster endpoint
3. Use standard SQL - your existing queries and transformations work unchanged
4. Scale as needed - Tacnode automatically handles resource scaling

Explore the detailed integration guides for specific tools to learn best practices and optimization techniques for your big data workflows.