Case Study: Inflow Secures Data Integration Across On-Premise and Cloud Systems with Etlworks

Inflow Delivers Secure Data Integration with Etlworks, Connecting On-Premise and Cloud Systems.

Introduction

Inflow, a technology leader in advanced data solutions, relies on Etlworks to unify data integration across a variety of on-premise and cloud-based systems. By leveraging Etlworks’ flexible architecture, Inflow seamlessly connects platforms such as PostgreSQL, MariaDB, ClickHouse, SQL Server, and third-party APIs. To address stringent data security requirements, Inflow utilizes a cloud-based Etlworks instance alongside data integration agents deployed in customer environments, ensuring secure and compliant workflows.

The Challenge

Inflow encountered multiple challenges in their data integration efforts:

Diverse Systems: Required seamless integration of on-premise databases (PostgreSQL, MariaDB, SQL Server) and cloud platforms like ClickHouse and APIs.

Data Security: Needed to ensure secure data transfer and compliance with strict security policies.

Hybrid Architecture: Sought a solution capable of bridging on-premise and cloud systems efficiently.

Ease of Deployment: Required a scalable solution that minimized disruption to customer environments.

Traditional integration tools lacked the flexibility to address both the technical and security demands of Inflow’s workflows.

Why Etlworks

Inflow selected Etlworks for its unique ability to provide secure and scalable hybrid data integration solutions:

Hybrid Architecture Support: Seamlessly integrated on-premise and cloud-based systems.

Data Integration Agents: Deployed lightweight agents in customer environments to securely transfer data.

Cloud-Based Flexibility: Combined a centralized, hosted Etlworks instance with distributed agents for secure and efficient operations.

Comprehensive Integration: Supported a wide range of data sources, including PostgreSQL, MariaDB, ClickHouse, SQL Server, and APIs.

Ease of Use: Simplified pipeline creation and management with a user-friendly interface.

The Solution

Etlworks implemented a secure and flexible data integration framework tailored to Inflow’s needs:

Data Integration Agents: Deployed agents in customer environments to enable secure on-premise data extraction and transformation.

Cloud-Based Instance: Leveraged a centrally managed Etlworks instance hosted in the cloud for orchestration and monitoring.

Diverse Connectivity: Built pipelines connecting PostgreSQL, MariaDB, ClickHouse, SQL Server, and APIs seamlessly.

Scalable and Reliable: Delivered robust performance for handling large-scale data integration workloads.

Results

Secure Workflows: Ensured compliance and data security with hybrid architecture combining cloud hosting and on-premise agents.

Unified Data Ecosystem: Integrated diverse on-premise and cloud systems into efficient workflows.

Scalable Performance: Supported growing data integration needs with consistent reliability.

Improved Efficiency: Simplified complex workflows, reducing operational overhead and deployment time.

Key Takeaways

Secure Hybrid Architecture: Combined cloud-based orchestration with on-premise agents for secure data integration.

Comprehensive Connectivity: Unified on-premise databases, cloud platforms, and APIs into seamless workflows.

Scalable and Reliable: Delivered robust performance for large-scale and complex data pipelines.

Simplified Deployment: Minimized disruption with lightweight and efficient data integration agents.

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