We performed a comparison between Databricks and Tableau based on real PeerSpot user reviews.
Find out in this report how the two Data Science Platforms solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."Its lightweight and fast processing are valuable."
"The initial setup phase of Databricks was good."
"Databricks has improved my organization by allowing us to transform data from sources to a different format and feed that to the analytics, business intelligence, and reporting teams. This tool makes it easy to do those kinds of things."
"The most valuable feature is the Spark cluster which is very fast for heavy loads, big data processing and Pi Spark."
"Databricks gives you the flexibility of using several programming languages independently or in combination to build models."
"Databricks covers end-to-end data analytics workflow in one platform, this is the best feature of the solution."
"It's very simple to use Databricks Apache Spark."
"I like how easy it is to share your notebook with others. You can give people permission to read or edit. I think that's a great feature. You can also pull in code from GitHub pretty easily. I didn't use it that often, but I think that's a cool feature."
"Tableau has many different connectors for different databases. It's very easy to connect to MySQL, SQL Server, Amazon EMR, Presto, Redshift, BigQuery, and so on."
"Tableau Prep tool for data preparation is a most valuable tool."
"It is easy to use, and it can handle a large amount of data."
"The solution deployment was straightforward."
"Any feature I am looking for usually is part of the next upgrade within a few months. They have a very good dynamic evolution."
"The most valuable features are data discovery and fine visualizations."
"The solution is being delivered to our customer, who appreciates the insights generated from the reports. It is easy for them to drill into the details and use interactive charts."
"The solution makes for very productive and really informative decision making. It can lead the whole business and build a strategy across whole working departments."
"The product needs samples and templates to help invite users to see results and understand what the product can do."
"I would like more integration with SQL for using data in different workspaces."
"Databricks' technical support takes a while to respond and could be improved."
"In the future, I would like to see Data Lake support. That is something that I'm looking forward to."
"The product should provide more advanced features in future releases."
"Some of the error messages that we receive are too vague, saying things like "unknown exception", and these should be improved to make it easier for developers to debug problems."
"The solution could be improved by integrating it with data packets. Right now, the load tables provide a function, like team collaboration. Still, it's unclear as to if there's a function to create different branches and/or more branches. Our team had used data packets before, however, I feel it's difficult to integrate the current with the previous data packets."
"The product should incorporate more learning aspects. It needs to have a free trial version that the team can practice."
"The forecasting feature in Tableau in my view is too limited because it must have dates but I should be able to predict the outcome of an event without having a date as part of the input."
"To be the best in the market, Tableau has to improve its user interface and also look into developing implementing the best machine learning algorithms."
"The development part should be better. We are putting a lot of effort in during development, so if we face any struggles, we have to find workaround solutions on the internet."
"It should have more integration with different tools and technologies. Its licensing cost should also be improved."
"At the organizational level, increasing the servers' capabilities to support us as an enterprise tool."
"The tool's OpenAI integration was announced last year. However, it is late. Tableau is a good solution for end customers. However, there are some concerns regarding the stability and performance of its server architecture, including SaaS services. The server side appears unstable, and performance issues are noticeable, often accompanied by unclear error messages."
"The solution’s pricing could be improved."
"What is happening, with so many tools coming up in the market, is that people have to continuously get educated in order to use some of the more advanced features."
Databricks is ranked 1st in Data Science Platforms with 78 reviews while Tableau is ranked 2nd in BI (Business Intelligence) Tools with 292 reviews. Databricks is rated 8.2, while Tableau is rated 8.4. The top reviewer of Databricks writes "A nice interface with good features for turning off clusters to save on computing". On the other hand, the top reviewer of Tableau writes "Provides fast data access with in-memory extracts, makes it easy to create visualizations, and saves time". Databricks is most compared with Amazon SageMaker, Informatica PowerCenter, Dataiku Data Science Studio, Microsoft Azure Machine Learning Studio and Google Cloud Dataflow, whereas Tableau is most compared with Microsoft Power BI, Amazon QuickSight, Domo, SAS Visual Analytics and SAP Analytics Cloud. See our Databricks vs. Tableau report.
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