SnapLogic vs StreamSets: What are the differences?

## Introduction
When choosing between SnapLogic and StreamSets for your data integration needs, it's important to understand the key differences between the two platforms to make an informed decision.

1. **Architecture**: SnapLogic follows a scale-out architecture where users can easily add more nodes to increase capacity, while StreamSets uses a cluster-based architecture which allows for better resource utilization and scalability.
2. **Connectors**: SnapLogic offers a wide range of pre-built connectors for various data sources and platforms, making it easy to integrate with different systems. On the other hand, StreamSets provides more customization options for connectors, allowing users to tailor their connections to specific requirements.
3. **User Interface**: SnapLogic's user interface is more visually appealing and user-friendly, with drag-and-drop functionalities that make it easier for users to design data pipelines. StreamSets, on the other hand, offers a more technical interface that may require a steeper learning curve but allows for more fine-tuned control over data processes.
4. **Community Support**: SnapLogic has a strong community support system with a robust knowledge base and active forums for users to share experiences and troubleshoot issues. StreamSets, while also having community support, may not have as extensive resources and documentation available.
5. **Real-time Processing**: StreamSets is known for its strong real-time data processing capabilities, allowing users to process and analyze data as it flows through the system. While SnapLogic supports real-time processing as well, StreamSets is often preferred for its efficiency in this area.
6. **Deployment Options**: SnapLogic offers both cloud and on-premise deployment options, catering to a wide range of users with different preferences. StreamSets, on the other hand, focuses more on on-premise deployment, which may be preferred by organizations with strict data security and compliance requirements.

In Summary, understanding the architecture, connectors, user interface, community support, real-time processing, and deployment options are key factors to consider when choosing between SnapLogic and StreamSets for your data integration needs.