Here’s the difference between Stitch and Google Cloud Dataflow. The comparison is based on pricing, deployment, business model, and other important factors.
Stitch provides extract, transform and Load (ETL) as a service for developers to securely manage the data preparation process. It allows users to configure their own data pipeline in a way that balances replication frequency and data selection by choosing the tables, fields, collections, and endpoints required in the warehouse. The product offers replicate API, monitoring & alerting during ETL process, security, compliance, cross-platform integration, and private infrastructure.
Google Cloud Dataflow is a cloud-based data processing service for both batch and real-time data streaming applications. It enables developers to set up processing pipelines for integrating, preparing and analyzing large data sets, such as those found in Web analytics or big data analytics applications. The Cloud Dataflow software expands on earlier Google parallel processing projects, including MapReduce, which originated at the company. Cloud Dataflow is designed to bring to entire analytics pipelines the style of fast parallel execution that MapReduce brought to a single type of computational sort for batch processing jobs.
Overview | ||
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Categories | ETL Tools | Data Streaming |
Stage | Mid Stage | Late Stage |
Target Segment | Enterprise, Mid size | Enterprise, Mid size |
Deployment | SaaS | SaaS |
Business Model | Open Core | Commercial |
Pricing | Contact Sales | Freemium |
Location | Philadelphia Us | US |
Companies using it | ||
Contact info |