Panoply vs Stitch: What are the differences?

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1. Data Sources: Panoply supports a wide range of data sources including MySQL, PostgreSQL, Amazon Redshift, and more, while Stitch primarily focuses on extracting data from popular cloud services such as Google Analytics, Salesforce, and Zendesk.
2. Data Transformation: Panoply offers more advanced data transformation capabilities like SQL-based transformations, data enrichment, and custom scripting, whereas Stitch provides basic transformation features like filtering and joining data.
3. Real-time Data Pipelines: Stitch specializes in real-time data pipelines and streaming data integration, enabling users to sync and analyze data as it's generated, while Panoply focuses more on batch data processing and data warehousing.
4. Scalability: Panoply is designed to handle large volumes of data effectively, making it more suitable for enterprises with complex data needs, whereas Stitch may be more suitable for small to medium-sized businesses with simpler data integration requirements.
5. Cost Structure: Panoply offers a pricing model based on the amount of data processed, making it a more cost-effective option for organizations with unpredictable data volumes, whereas Stitch charges based on the number of connectors used, which may be more suitable for users with a fixed set of data sources.
6. Data Storage: Panoply provides its users with an integrated data warehouse solution, allowing for seamless storage and analytics, while Stitch focuses on data integration and pipelines, requiring users to store their data in separate data warehouses or cloud storage solutions.

In Summary, Panoply and Stitch differ in their support for data sources, data transformation capabilities, real-time processing, scalability, cost structure, and data storage solutions.