“Databricks has simplified operations, making it much easier for our data teams to securely access our data and collaborate on various analytics and ML use cases. That’s the main reason why it has rated higher in satisfaction than any other data analytics tool currently deployed at Asana.”
“ABFRL is an industry leading fashion retailer in India, with several leading brands and store formats, focused across diverse markets and customer segments. A key element of our digital transformation journey is migrating our data environment to cloud, for which we have selected Databricks as the preferred partner, enabling advanced analytics and AI use cases for future business growth.”
"Giphy uses Databricks to understand various image properties (scene, label, colors, etc.) against tens of millions of GIFs to provide better search results and recommendations."
"Databricks has greatly improved collaboration within our cross-functional data team, empowering us to collectively work towards new data-driven innovations to improve workplace safety.”
“Before Databricks, I had no way to structure my data science research project. If I had a model and iterated 20 times, I would forget what the results for my first model were, so I would have to dig through so much. MLflow makes that easier to manage, and solves for the iterative nature of data science in general.”
"With Databricks, we can now take a strategic view into data analytics. Our teams can spend time focusing on business problems up the value chain, rather than simply moving data from point A to point B.”
"Databricks is the key enabler for us to experiment fast and then scale quickly — that’s how the platform is adding value to the business and helping us grow.”
"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.”
“Moving from Snowflake to Databricks’ lakehouse has transformed the way we drive business actions based on the most complete and current view of our data, something that wasn’t possible with our data warehouse before.”
"The Databricks Lakehouse Platform has enabled us to run analytics that reduce the time it takes to derive insights from audience behaviors from weeks to minutes, so we can quickly adapt to deliver the programming that will resonate better with our listeners.”
"The Databricks Lakehouse has allowed us to unlock the power of analytics and machine learning. Now we can harness all our data to deliver industry-leading shopping experiences while upping operational efficiency.”
"We discovered Databricks, and the light bulb really clicked for us on what we needed to do moving forward to stay relevant.”
"Prior to Azure Databricks, it was taking two days or more to query a subset of data on a SQL Server instance. Now, it takes about 30 minutes for the entire data set.”
"Databricks enabled us to scale to 10,000 whole genome sequencing using a state-of-the-art robust platform that allows our data teams to conduct effective joint calling for genetic variant discovery.”
“Speed and efficiency is paramount. And we struggled to achieve both with our legacy system.”
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