We performed a comparison between Databricks and Sisense based on real PeerSpot user reviews.
Find out what your peers are saying about Databricks, Microsoft, Alteryx and others in Data Science Platforms."The most valuable feature of Databricks is the integration of the data warehouse and data lake, and the development of the lake house. Additionally, it integrates well with Spark for processing data in production."
"Databricks covers end-to-end data analytics workflow in one platform, this is the best feature of the solution."
"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 integration with Python and the notebooks really helps."
"The initial setup is pretty easy."
"A very valuable feature is the data processing, and the solution is specifically good at using the Spark ecosystem."
"Databricks provides a consistent interface for data engineers to work with data in a consistent language on a single integrated platform for ingesting, processing, and serving data to the end user."
"The capacity of use of the different types of coding is valuable. Databricks also has good performance because it is running in spark extra storage, meaning the performance and the capacity use different kinds of codes."
"Allows us to execute heavy, complex computations on the fly so customers can slice and dice the data based on their business needs."
"Whenever we have an issue or are unsure how to proceed, they manage to simplify the issue and help us execute it in a graceful and scalable way."
"A very simple setup: Easy to download, install, and updates are pain free."
"There are many built-in connectors, which allow us to easily add new sources of data, often in minutes."
"Sisense has helped us gain knowledge about our customers, as well as highlighting data quality issues to correct."
"I have found the dashboard creating feature helpful."
"No issues with stability. It is a very stable solution."
"Ability to work with very large data sources without the limitations of Excel."
"A lot of people are required to manage this solution."
"When I used the support, I had communication problems because of the language barrier with the agent. The accent was difficult to understand."
"The solution could be improved by adding a feature that would make it more user-friendly for our team. The feature is simple, but it would be useful. Currently, our team is more familiar with the language R, but Databricks requires the use of Jupyter Notebooks which primarily supports Python. We have tried using RStudio, but it is not a fully integrated solution. To fully utilize Databricks, we have to use the Jupyter interface. One feature that would make it easier for our team to adopt the Jupyter interface would be the ability to select a specific variable or line of code and execute it within a cell. This feature is available in other Jupyter Notebooks outside of Databricks and in our own IDE, but it is not currently available within Databricks. If this feature were added, it would make the transition to using Databricks much smoother for our team."
"Databricks may not be as easy to use as other tools, but if you simplify a tool too much, it won't have the flexibility to go in-depth. Databricks is completely in the programmer's hands. I prefer flexibility rather than simplicity."
"The product cannot be integrated with a popular coding IDE."
"Databricks could improve in some of its functionality."
"There would also be benefits if more options were available for workers, or the clusters of the two points."
"Databricks doesn't offer the use of Python scripts by itself and is not connected to GitHub repositories or anything similar. This is something that is missing. if they could integrate with Git tools it would be an advantage."
"This solution does not have tabs. In order to have tabs, you have to download an add-on to mimic the tabs. They should be integrated to improve the solution."
"I would like Sisense to improve its performance, particularly when we are dealing with large-scale data."
"I would also like to be able to run a bursts of reports based on different field values with PDF output right in the tool, rather than filtering on each field value and generating each PDF manually."
"I would like to see more development and growth for the support of Knowledge Base and Community forums."
"The solution's setup process could be easier."
"At present there are additional costs involved if we wish to share our data queues within this solution, which we would like to see removed."
"The administrative side of Sisense is a little cumbersome and confusing."
"I would love to have more customization capabilities for building dashboards, especially in creating custom widget sizes."
Databricks is ranked 1st in Data Science Platforms with 78 reviews while Sisense is ranked 17th in BI (Business Intelligence) Tools with 39 reviews. Databricks is rated 8.2, while Sisense is rated 8.8. 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 Sisense writes "Business intelligence solution that has improved automation and provided meaningful insights". Databricks is most compared with Amazon SageMaker, Informatica PowerCenter, Dataiku, Microsoft Azure Machine Learning Studio and Dremio, whereas Sisense is most compared with Microsoft Power BI, Tableau, Apache Superset, Qlik Sense and Domo.
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