Compare - ThoughtSpot VS Google Cloud Dataflow
Here’s the difference between ThoughtSpot and Google Cloud Dataflow. The comparison is based on pricing, deployment, business model, and other important factors.
About ThoughtSpot
ThoughtSpot is a search and AI-driven analytics platform that delivers safe, reliable self-service analytics to the modern data stack. ThoughtSpot natively integrates with cloud platforms and scales to billions of rows, making it possible for anyone to ask their own data questions. Users can also embed search, Liveboards and visualizations into data applications using ThoughtSpot Everywhere. Customers include Hulu, Capital One, Mayo Clinic, and more.
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.
Comparison Table
| Overview | ||
|---|---|---|
| Categories | Augmented Analytics | Data Streaming |
| Stage | Late Stage | Late Stage |
| Target Segment | Enterprise, Mid size | Enterprise, Mid size |
| Deployment | SaaSOn Prem | SaaS |
| Business Model | Commercial | Commercial |
| Pricing | Free trial, Contact Sales | Freemium |
| Location | California, US | US |
| Companies using it | ||
| Contact info |
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