We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
"We are completely satisfied with the ease of connecting to different sources of data or pocket files in the search"
"Automation with Databricks is very easy when using the API."
"Databricks is based on a Spark cluster and it is fast. Performance-wise, it is great."
"The most valuable aspect of the solution is its notebook. It's quite convenient to use, both terms of the research and the development and also the final deployment, I can just declare the spark jobs by the load tables. It's quite convenient."
"I work in the data science field and I found Databricks to be very useful."
"The time travel feature is the solution's most valuable aspect."
"I haven't heard about any major stability issues. At this time I feel like it's stable."
"Imageflow is a visual tool that helps make it easier for business people to understand complex workflows."
"It's really an enterprise solution. It has a dashboard, like standard dashboarding functionality. It also has reporting capabilities for producing pixel-perfect reports, bursting large volumes of a document if you need to. It has interactive data discovery functionality, which you would use to explore your data, bring your own data, and merge it with maybe the data from an enterprise data warehouse to get new insights from the pre-existing data. It has machine learning embedded in the solution. If you're new to machine learning, it's a really good way to get into it, because it's all within this platform, and it's really easy to use."
"The features that I find to be the most valuable are the BAS (Business Analytics), the Narrate feature, and the auto-visualization."
"The AI/ML enablement is useful, as many reporting tools do not offer machine learning models as of now, without writing customized code."
"The product is easily customized."
"The integration features could be more interesting, more involved."
"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."
"It should have more compatible and more advanced visualization and machine learning libraries."
"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."
"It would be very helpful if Databricks could integrate with platforms in addition to Azure."
"Databricks is an analytics platform. It should offer more data science. It should have more features for data scientists to work with."
"Pricing is one of the things that could be improved."
"The product needs samples and templates to help invite users to see results and understand what the product can do."
"As with most BI tools, the visualizations can be made much nicer. Currently, it has standard visualizations. They've been adding new visualizations, but we see animated visualizations from other vendors. It would be nice to have similar visualizations, such as the swarming visualizations, which are fairly new and very popular at the moment. I haven't seen that with Oracle. That would be nice."
"Sharing dataflows is not possible at this time, and the custom chart functionality is not available."
"At this time, dataflows cannot be shared, but I think that this should be enhanced."
"The interfaces could be improved and some in-memory operations could be built in."
"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."
"I do not exactly know the costs, but one of our clients pays between $100 USD and $200 USD monthly."
"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."
"The pricing depends on the usage itself."
"I am based in South Africa, where it is expensive adapting to the cloud, and then there is the price for the tool itself."
"The price is okay. It's competitive."
"Databricks uses a price-per-use model, where you can use as much compute as you need."
"The price is reasonable; it's quite a bit lower than Tableau and Spotfire."
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.
Oracle Analytics Cloud (OAC) is a single strategic platform that meets your needs for speed and scale at the same time it accommodates your users and their requirements. It fits into your environment, helping you do as much of your analysis as possible in the cloud, at the same time it offers easy access to any source so you make the best use of all your data no matter where it is. It provides a variety of options for intelligent analysis without being overwhelming to deploy and manage, making it an effective way to engage more people in analysis and extend your organization's expertise. A complete, connected, and collaborative choice, Oracle Analytics Cloud makes it easy for you to capitalize on cloud analytics today and in the future.
Databricks is ranked 2nd in Data Science Platforms with 24 reviews while Oracle Analytics Cloud is ranked 10th in Business Intelligence (BI) Tools with 4 reviews. Databricks is rated 8.0, while Oracle Analytics Cloud is rated 8.2. 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, the top reviewer of Oracle Analytics Cloud writes "Complete product with excellent stability and scalability with no downtime". Databricks is most compared with Microsoft Azure Machine Learning Studio, Amazon SageMaker, Azure Stream Analytics, Alteryx and Dremio, whereas Oracle Analytics Cloud is most compared with Oracle OBIEE, Microsoft BI, Tableau, Oracle Business Intelligence Cloud Service and Qlik Sense. See our Databricks vs. Oracle Analytics Cloud report.
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.