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."We like that this solution can handle a wide variety and velocity of data engineering, either in batch mode or real-time."
"This solution offers a lake house data concept that we have found exciting. We are able to have a large amount of data in a data lake and can manage all relational activities."
"Databricks makes it really easy to use a number of technologies to do data analysis. In terms of languages, we can use Scala, Python, and SQL. Databricks enables you to run very large queries, at a massive scale, within really good timeframes."
"The processing capacity is tremendous in the database."
"The solution is built from Spark and has integration with MLflow, which is important for our use case."
"Specifically for data science and data analytics purposes, it can handle large amounts of data in less time. I can compare it with Teradata. If a job takes five hours with Teradata databases, Databricks can complete it in around three to three and a half hours."
"The load distribution capabilities are good, and you can perform data processing tasks very quickly."
"The setup was straightforward."
"Allows us to execute heavy, complex computations on the fly so customers can slice and dice the data based on their business needs."
"The dashboard design interface is very intuitive and allows you to quickly and easily produce professional, innovative dashboards."
"There are many built-in connectors, which allow us to easily add new sources of data, often in minutes."
"A very simple setup: Easy to download, install, and updates are pain free."
"We like that this solution allows us to use data cubes to set up specific visualizations."
"ElastiCube Manager is a very easy to use ETL tool, which includes the ability to easily transform raw data into reusable data."
"The most valuable thing I have found is the ability for Sisense to connect data from totally different sources."
"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."
"Overall it's a good product, however, it doesn't do well against any individual best-of-breed products."
"Costs can quickly add up if you don't plan for it."
"The product could be improved by offering an expansion of their visualization capabilities, which currently assists in development in their notebook environment."
"I would like to see the integration between Databricks and MLflow improved. It is quite hard to train multiple models in parallel in the distributed fashions. You hit rate limits on the clients very fast."
"The product should provide more advanced features in future releases."
"The product should incorporate more learning aspects. It needs to have a free trial version that the team can practice."
"CI/CD needs additional leverage and support."
"The tool should improve its integration with other products."
"I would like to see more development and growth for the support of Knowledge Base and Community forums."
"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."
"I would like Sisense to improve its performance, particularly when we are dealing with large-scale data."
"The solution's setup process could be easier."
"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 love to have more customization capabilities for building dashboards, especially in creating custom widget sizes."
"They should improve the filters to create downloaded data by moving them to the top of the dashboard."
"The initial version we purchased only ran on Windows servers, which was less than ideal for our DevOps team. I believe that has been remedied in the latest release."
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, Dremio and Microsoft Azure Machine Learning Studio, whereas Sisense is most compared with Microsoft Power BI, Tableau, Apache Superset, Qlik Sense and Alteryx.
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.
