Compare Databricks and Databricks - Aug 2022

Shlomi Lavi

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Bottom Line: Which is Better - Databricks or Databricks?

Databricks is more expensive to implement (TCO) than Databricks, and Databricks is rated with the same score (62/100) as Databricks (62/100). Both tools offer the same amount of features.

Looking for the right Data analysis solution for your business? Buyers are primarily concerned about the real total cost of implementation (TCO), the full list of features, vendor reliability, user reviews, and the pros and cons. In this article we compare between the two software products:

Databricks Vs. Databricks

Databricks: Databricks Unified Analytics Platform, from the original creators of Apache Spark™, unifies data science and engineering across the Machine Learning lifecycle from data preparation, to experimentation and deployment of ML applications.

Databricks: Databricks Unified Analytics Platform, from the original creators of Apache Spark™, unifies data science and engineering across the Machine Learning lifecycle from data preparation, to experimentation and deployment of ML applications.

Who is more expensive? Databricks or Databricks?

The real total cost of ownership (TCO) of Data analysis software includes the software license, subscription fees, software training, customizations, hardware (if needed), maintenance and support and other related services. When calculating the TCO, it's important to add all of these ”hidden costs” as well. We prepared a TCO (Total Cost) calculator for Databricks and Databricks.

Databricks price starts at $99 per month , On a scale between 1 to 10 Databricks is rated 4, which is lower than the average cost of Data analysis software. Databricks price starts at $99 per month , When comparing Databricks to its competitors, the software is rated 4 - lower than the average Data analysis software cost.

Bottom line: Databricks cost is around the same cost of Databricks.

Which software includes more/better features?

We've compared Databricks Vs. Databricks based on some of the most important and required Data analysis features.

Databricks: Data analysis, Project Collaboration, Data visualization, Collaboration Center .

Databricks: Data analysis, Project Collaboration, Data visualization, Collaboration Center .

Target customer size

Databricks's typical customers include: Small, medium and large size businesses, and Databricks's target customer size include: Small, medium and large size businesses.