From retailers predicting what product you are likely to purchase to life sciences companies unlocking the potential of genomic data to solve the world’s greatest medical mysteries, data science is allowing us to unearth hidden patterns, trends, and useful insights to accelerate innovation.
Spending too much time managing Infrastructure
Data exploration at scale is difficult and costly
Need to integrate various machine learning tools together
Model training is resource intensive
Poor collaboration due to siloed teams
Complexities around model deployment
Launch expertly-tuned Spark clusters with a few clicks. Databricks’ Spark clusters are fully managed and automatically scale to your workload.
Built on top of Spark and native to the cloud, Databricks Runtime optimizes Spark, making it 10-40x faster and more reliable.
Databricks protects your data at every level with a unified security model featuring fine-grained controls, data encryption, identity management, rigorous auditing, and support for compliance standards.
Speed up iterative model building and tuning with interactive notebooks purpose-built to instill collaboration across teams.
Interactively query large-scale data sets in R, Python, Scala, or SQL.
Visualize insights through a wide assortment of point-and-click visualizations. Or use powerful scriptable options like matplotlib, ggplot, and D3.
Make use of popular libraries within your notebook or job such as scikit-learn, nltk ML, pandas, etc.
Create shareable dashboards from notebooks with a single click. One notebook can be tailored into multiple dashboard views.
Publish dashboards and schedule the content to be updated continuously.
Enable non-technical users to perform scenario analysis directly from published dashboards.
Input widgets allow you to parameterize your dashboards.