Here’s the difference between Bigeye and Count. 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.
Count is a collaborative data whiteboard. It combines all the power of your SQL IDE, Python notebook, and BI tool - in a reactive, real-time canvas. Instead of working one query at a time in an IDE, the canvas lets you lay out your entire thought process in one place, and explain not just the answer but how you got there. Analyze data with SQL, Python, or drag-and-drop query builders. Import and export dbt models. Run queries against your database, or locally in the browser using DuckDB and Python. Share canvases to get help from a teammate or feedback from stakeholders. Turn any canvas into a dashboard, report, interactive app, or even a slide deck.
Overview | ||
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Categories | Data Quality Monitoring | Data Workspace/ Collaboration |
Stage | Early Stage | Mid Stage |
Target Segment | Mid size | Mid Size, Enterprise |
Deployment | SaaS | SaaS |
Business Model | Commercial | Commercial |
Pricing | Free trial | Freemium, Contact Sales |
Location | San Francisco, US | London, England |
Companies using it | ||
Contact info |