We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
"The price is okay. It's competitive."
"The solution requires a subscription."
"The solution uses a pay-per-use model with an annual subscription fee or package. Typically this solution is used on a cloud platform, such as Azure or AWS, but more people are choosing Azure because the price is more reasonable."
"We find Databricks to be very expensive, although this improved when we found out how to shut it down at night."
"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."
"Databricks uses a price-per-use model, where you can use as much compute as you need."
"Licensing on site I would counsel against, as on-site hardware issues tend to really delay and slow down delivery."
"The pricing depends on the usage itself."
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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.
Dremio is the Data-as-a-Service Platform. Created by veterans of open source and big data technologies, and the creators of Apache Arrow, Dremio is a fundamentally new approach to data analytics that helps companies get more value from their data, faster. Dremio makes data engineering teams more productive, and data consumers more self-sufficient.
Databricks is ranked 2nd in Data Science Platforms with 25 reviews while Dremio is ranked 21st in Data Science Platforms. Databricks is rated 8.0, while Dremio 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 Google Cloud Datalab, whereas Dremio is most compared with Alteryx, AtScale Adaptive Analytics (A3), Microsoft BI, Dataiku Data Science Studio and ThoughtSpot.
See our list of best Data Science Platforms vendors.
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.