"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.”
“Nasdaq’s data and AI vision is powered by Databricks Lakehouse. We use it to process huge amounts of complex financial and alternative data to create data and insights for our clients. Databricks is also an important part of our efforts to modernize data delivery and consumption. It enables us to seamlessly deliver data directly into analytical workspaces, so our clients can analyze and integrate mission-critical data quickly without having to move terabytes of data around.”
"With the help of Databricks, we are making great headway to eliminate the complexities of ocean freight logistics through the timely sharing of actionable data insights between transport management systems.”
"Databricks provides us with a unified platform that enables cross-team collaboration to rapidly clean and analyze a wide variety of genomic data to accelerate drug development."
"Databricks helps make very complex operations very simple. It is a game changer from a time-to-market perspective."
"With Databricks and Apache Spark, we’ve been able to move a particular model from development straight into production with a very limited amount of time and operational complexity."
"Databricks is really an important part of our AI strategy. As we continue to digitize our business, and explore opportunities and challenges through AI and machine learning, we will continue to activate Databricks throughout the rest of the business."
"Databricks allows us to focus on delivering a great product, rather than being bogged down by infrastructure or the complexities of building a data pipelines."
"With Databricks, data scientists are empowered to marshal the resources they need on demand, developers can focus on productionizing the code and pushing out services, and the business is able to collaborate directly with data scientists in real-time. This enables us to iterate much faster."
"Databricks has removed the barriers to accessing the data across our various businesses so everyone can explore the same data and leverage a unified platform to innovate at a massive scale."
"Databricks has enabled our data science team to work more collaboratively, empowering them to easily iterate and modify the models in a distributed fashion much faster."
"Databricks, through the power of Delta and Structured Streaming, allows us to deliver alerts to our product’s users with a very limited latency, so they’re able to react to problems within their home before it affects their comfort levels."
"We are confident that Databricks will continue to invest in their integrated environment and provide yet more value to our teams in the future."
"The combination of Snowflake and Databricks gives our team both the scaleability and the agility to build really innovative products on top of our valuable data assets."
"Databricks has removed the technical barriers of normalizing our data for the purpose of downstream analytics. As a result, we’ve reduced our ETL process from hours to minutes."