We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
"The pricing depends on the usage itself."
"Databricks uses a price-per-use model, where you can use as much compute as you need."
"I do not exactly know the costs, but one of our clients pays between $100 USD and $200 USD monthly."
"I am based in South Africa, where it is expensive adapting to the cloud, and then there is the price for the tool itself."
"Whenever we want to find the actual costing, we have to send an email to Databricks, so having the information available on the internet would be helpful."
"The solution requires a subscription."
"Licensing on site I would counsel against, as on-site hardware issues tend to really delay and slow down delivery."
"We find Databricks to be very expensive, although this improved when we found out how to shut it down at night."
Earn 20 points
Databricks creates a Unified Analytics Platform that accelerates innovation by unifying data science, engineering, and business. It utilizes Apache Spark to help clients with cloud-based big data processing. It puts Spark on “autopilot” to significantly reduce operational complexity and management cost. The Databricks I/O module (DBIO) improves the read and write performance of Apache Spark in the cloud. An increase in productivity is ensured through Databricks’ collaborative workplace.
Kx Dashboards is the visualization component of the solution that enables technical and non-technical users to query, transform and present data in a familiar and friendly format. Dashboards is easily accessible, using a familiar drag-and-drop build process in a WYSIWYG interface.
Databricks is ranked 2nd in Data Science Platforms with 25 reviews while Kx Dashboards is ranked 35th in Data Visualization. Databricks is rated 8.0, while Kx Dashboards is rated 0.0. The top reviewer of Databricks writes "Has a good feature set but it needs samples and templates to help invite users to see results". On the other hand, Databricks is most compared with Microsoft Azure Machine Learning Studio, Amazon SageMaker, Azure Stream Analytics, Alteryx and Dataiku Data Science Studio, whereas Kx Dashboards is most compared with Tableau.
We monitor all Data Science Platforms reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.