Here’s the difference between Bigeye and Google Cloud Dataflow. The comparison is based on pricing, deployment, business model, and other important factors.
Bigeye is enterprise data quality management software provider. Offered products include Autometrics & Autothresholds, which helps to measure, monitor, and maintain the quality of data in an organization. It also provides integrations with external data sources such as Snowflake, Google BigQuery, & PostgreSQL. It enables user access on a subscription-based pricing model.
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 | Data Quality Monitoring | Data Streaming |
Stage | Early Stage | Late Stage |
Target Segment | Mid size | Enterprise, Mid size |
Deployment | SaaS | SaaS |
Business Model | Commercial | Commercial |
Pricing | Free trial | Freemium |
Location | San Francisco, US | US |
Companies using it | ||
Contact info |