544 Databricks Testimonials

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  • “With Databricks, we are now able to rapidly and collaboratively prototype new forecasting models that benefit our customers. With self-service dashboards, notebook prototypes and SQL workspaces, everyone can participate in exploring and extracting insights from our data.”

  • "Databricks Lakehouse enables us to organize and leverage all our data at scale, to power analytics in an effort to detect and block all forms of email attacks for our customers, including targeted socially engineered email attacks that evade traditional defenses.”

  • “The pace of innovation since partnering with Databricks has been extraordinary. We’re executing more use cases, faster, and this is just the beginning. Our vision is a future where financial empowerment is effortless for every Filipino.”

  • “The Azure Databricks Data Intelligence Platform has helped us significantly reduce the complexity of our data. The ability to incorporate machine learning algorithms, rules and processes, and performance at scale are fundamentally supporting our mission to shape the brands of tomorrow through real-time shopper analytics.”

  • "Our previous platform based on SQL Server was able to process new receipts but struggled with reprocessing of historical data. One of our key services is providing trends over time, such as market share changes, so the ability to reprocess the last five years’ data consistently and efficiently was crucial to delivering these insights. With the Databricks Data Intelligence Platform, we are able to process five years of data in two days instead of potentially taking several months.”

  • “During this time, it was extremely easy to create these new reports. With Databricks, there are no boundaries with what we can do with our data.”

  • "MLflow is extremely straightforward when it comes to model development and deployment. When developing a model, we need to carry out experiments to test our hypothesis. MLflow stores all the data, models and parameters for each experiment in a single location. After running all experiments, we can rapidly reproduce them and deploy the chosen model. Databricks Model Serving allows our teams to move much faster.”

  • “We would look to duplicate this approach for new research panels going forward. The Databricks Data Intelligence Platform is cost-effective, scalable and future-proof, with the ability to leverage automation and machine learning.”

  • “Databricks has played a key role in shaping our company’s data-driven culture — empowering our entire organization to make faster and more accurate decisions to scale our business.”

  • "Data democratization was critical for us to achieve our goals for driving a data-driven culture, and Databricks was the most suitable solution."

  • ”Since we can consolidate our vast data set in a centralized manner, we can use it to analyze various indicators and set goals. This will allow us to expand our business beyond the tax market.”

  • “MezzoMedia has constructed an integrated data platform based on Databricks after long contemplation on how to efficiently process vast amounts of data for advertising execution. Based on such contemplation, we provided ad planning through real-time reports and data analytics to clients and media, enabling customers to reduce costs and maximize performance.”

  • “Databricks has strengthened MezzoMedia’s ad technology capabilities to maintain a competitive edge in the digital advertising market, and now, MezzoMedia’s foundation has been laid to grow into Korea’s No. 1 integrated digital marketing company.”

  • “The Optra Data Accelerator has transformed the way our global customers can realize the potential of their IoT solutions. Databricks has played a crucial role in the development of the ODA, making it possible to decrease IT costs while increasing data availability and boosting customer satisfaction.”

  • “Databricks has been key to progressing our journey to hyperautomation and digital transformation, We’re now able to work in sync more effectively to analyze and act on our data.”