Compare Databricks and Slack - Aug 2022

Shlomi Lavi

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Bottom Line: Which is Better - Databricks or Slack?

Databricks is more expensive to implement (TCO) than Slack, and Slack is rated higher (100/100) than Databricks (62/100). Slack offers users more features (5) than Databricks (4). There is a clear winner in this case and it is Slack!

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. Slack

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.

Slack: Slack is a messaging app for teams. It brings all your communication in one place, integrating with the tools and services you use every day. Slack is free to use for as long as you want, with teams big and small. Slack is on a mission to make your working life simpler, more pleasant and more productive.

Who is more expensive? Databricks or Slack?

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 Slack.

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. Slack price starts at $6.67 per month , When comparing Slack to its competitors, the software is rated 2 - much lower than the average Data analysis software cost.

Bottom line: Databricks is more expensive than Slack.

Which software includes more/better features?

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

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

Slack: Document Management, Project Management, Task Management, Document Publishing, Document Versioning.

Target customer size

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