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Underestimating demand leads to expedited shipping costs for rush deliveryIncorrectly predicting how much of an item to produce leads to excess carrying costs, missed sales, and higher wasteReacting to breakdowns leads to unplanned outages that disrupt full production cyclesOrder fulfillment with incomplete or inaccurate data leads to additional shipping costs or higher rates of returnMissing an opportunity to engage a consumer based on current data leads to missed sales opportunitiesProcessing data in real-time enables all parts of the value chain to see the status of operations without delay and make better-informed decisions that help avoid these problems.What are Databricks’ real-time data differentiated capabilities?Databricks’ Lakehouse uses technologies that include Delta, Delta Live Tables, Autoloader and Photon to enable customers to make data available for real-time decisions.Lakehouse for Retail supports the largest data jobs at near real-time intervals. For example, customers are bringing nearly 400 million events per day from transactional log systems at 15-second intervals. Because of the disruption to reporting and analysis that occurs during data processing, most retail customers load data to their data warehouse during a nightly batch. Some companies are even loading data weekly or monthly.A Lakehouse event-driven architecture provides a simpler method of ingesting and processing batch and streaming data than legacy approaches, such as lambda architectures. This architecture handles the change data capture and provides ACID compliance to transactions.Delta Live Tables simplifies the creation of data pipelines and automatically builds in lineage to assist with ongoing management.The Lakehouse allows for real-time stream ingestion of data and analytics on streaming data. Data warehouses require the extraction, transformation, loading, and additional extraction from the data warehouse to perform any analytics.Photon provides record-setting query performance, enabling users to query even the largest of data sets to power real-time decisions in BI tools.Learn more about Lakehouse for Retail solutions.Additional ResourcesCollaborating Across the Retail Value Chain with Data and AIReal-time Point-of-Sale Analytics With a Data LakehouseImproving On-Shelf Availability for Items With AI Out of Stock ModelingBack to GlossaryProductPlatform OverviewPricingOpen Source TechTry DatabricksDemoProductPlatform OverviewPricingOpen Source TechTry DatabricksDemoLearn & SupportDocumentationGlossaryTraining & CertificationHelp CenterLegalOnline CommunityLearn & SupportDocumentationGlossaryTraining & CertificationHelp CenterLegalOnline CommunitySolutionsBy IndustriesProfessional ServicesSolutionsBy IndustriesProfessional ServicesCompanyAbout UsCareers at DatabricksDiversity and InclusionCompany BlogContact UsCompanyAbout UsCareers at DatabricksDiversity and InclusionCompany BlogContact UsSee Careers
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