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“The ability to say that we’re developing GenAI in our secure environment and without data leaving our control is incredibly significant.”
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"At ADP, we are migrating our human resource management data to an integrated data store on the Lakehouse. Delta Live Tables has helped our team build in quality controls, and because of the declarative APIs, support for batch and real-time using only SQL, it has enabled our team to save …
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“Databricks was a turning point for us, allowing us to transition from a fragmented, centralized system to a unified, scalable platform that drives collaboration and innovation. Their support and tools showed us a new way to work with and present data across Nexa.”
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"Databricks has changed the way our data engineers, our data scientists, and our product managers all communicate.”
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“That sounds like a basic question, but oftentimes, commercial properties are owned by corporations, LLCs, and trusts. Piercing through that corporate veil and building a knowledge graph and associating a company with a series of properties over time is massively valuable.”
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"Databricks has helped Directly democratize data across the company, empowering our data teams to create state-of-the-art machine learning and data pipelines to automate and engage with our clients and users.”
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"The C360 platform empowered teams to create consumer features at scale, which in turn allows for these features to be extended to other markets and used by other teams. This helps to reduce the engineering overhead and costs exponentially.”
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"Our ability to embed ML and AI in all aspects of our business has been crucial in creating more value for our clients. Azure Databricks and MLflow are core to our ability to deliver on this value.”
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"Building a self-driving truck has never been done before. It requires a huge amount of creativity, problem-solving, and intuition, and without Databricks we simply wouldn’t be able to do this.”
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"The best part is that we calculate that by using Databricks, we’ve saved around 90% of the cost of having a Spark cluster in our datacenter.”
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“In order to execute on our data analytics strategy, new technologies were needed in order to improve data engineering and boost data science productivity. The first steps we took were to move to a cloud-based data lake which led us to Azure Databricks and Delta Lake.”
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“Databricks gives our data scientists the means to easily create our own experiments and deploy them to production in weeks, rather than months.”
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"Databricks is the out-of-box solution that helps us unify our analytical workloads and involve other teams in the bank. It is the best platform for advanced analytics in the market.”
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"With Databricks, we can get from prototyping into production-quality software in a matter of days when usually it would take weeks.”
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"Databricks has given us the ability to move seamlessly between experimentation and the productionization of workloads and data pipelines in a unified platform.”