Compare - Apache Spark VS Count

Here’s the difference between Apache Spark and Count. The comparison is based on pricing, deployment, business model, and other important factors.

About Apache Spark

Apache Spark is an open-source unified analytics engine for large-scale data processing. Spark provides an interface for programming entire clusters with implicit data parallelism and fault tolerance.

About Count

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.

Comparison Table

Overview
CategoriesData Modelling and TransformationData Workspace/ Collaboration
StageLate StageMid Stage
Target SegmentMid Size, EnterpriseMid Size, Enterprise
DeploymentOn PremSaaS
Business ModelOpen SourceCommercial
PricingFreemiumFreemium, Contact Sales
LocationUSLondon, England
Companies using it
FOX logoPluralsight logostreamnative logoterality logoCircleUp logoInfoPrice logoCHONGTECHNOLOGIES logoFanatics Inc logoDashlane logoSelectDB logoApache Doris logodadosfera logo
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