Compare - Google Cloud Dataflow VS Meltano
Here’s the difference between Google Cloud Dataflow and Meltano. The comparison is based on pricing, deployment, business model, and other important factors.
About Google Cloud Dataflow
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.
About Meltano
Provider of open-source extract, load and transform pipelines for DataOps. It is a directory with text-based files and features such as tracking of incremental replication rate, data loading into data warehouses, UI for management and monitoring, as well as data extraction from multiple data sources.
Comparison Table
| Overview | ||
|---|---|---|
| Categories | Data Streaming | ETL Tools |
| Stage | Late Stage | Early Stage |
| Target Segment | Enterprise, Mid size | Mid size, Enterprise |
| Deployment | SaaS | Open source |
| Business Model | Commercial | Open Source |
| Pricing | Freemium | Freemium |
| Location | US | US |
| Companies using it | ||
| Contact info |
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