Frequently Asked Questions About the Data Lakehouse
Question Index What is a Data Lakehouse? How is a Data Lakehouse different from a Data Warehouse? How is the Data Lakehouse different from a Data Lake? How easy is it for data analysts to use a Data Lakehouse? How do Data Lakehouse systems compare in performance and cost to data warehouses? What data governance...
Evolving the Databricks brand
Some brands start out as, well, brands. A lot of work goes into the concept and painting the picture before the business is ever launched. Databricks is different. It always has been and always will be an engineering-led company. Databricks’ model for innovation is inspired by the open-source community. This is where our roots run...
Are you ready to scale your Data and AI initiatives? How will you scale your security?
This is Blog #3 in a series of blog posts about Databricks security. My colleagues David Cook (our CISO) and David Meyer (SVP products) laid out Databricks' approach to Security in blog #1 & blog #2. With this blog, I will be talking about deploying and operating Databricks at scale while minimizing human error. Democratize...
Apache Spark 1.1: The State of Spark Streaming
With Apache Spark 1.1 recently released, we’d like to take this occasion to feature one of the most popular Spark components - Spark Streaming - and highlight who is using Spark Streaming and why. Apache Spark 1.1. adds several new features to Spark Streaming. In particular, Spark Streaming extends its library of ingestion sources to...
Integrating Apache Spark and HANA
This morning SAP released its own “Certified Spark Distribution” as part of a brand new partnership announced between Databricks and SAP. We’re thrilled to be embarking on this journey with them, not just because of what it means for Databricks as a company, but just as importantly because of what it means for Apache Spark...
Databricks and Datastax
Today, Datastax and Databricks announced a partnership in which Apache Spark becomes an integral part of the Datastax offering, tightly integrated with Cassandra. We’re very excited to be embarking on this journey with Datastax for a multitude of reasons: Integrating operational systems with analytics One of the use cases that we’ve increasingly been asked about...
Databricks and MapR
Today, MapR announced that it will distribute and support the Apache Spark platform as part of the MapR Distribution for Hadoop in partnership with Databricks. We’re thrilled to start on this journey with MapR for a multitude of reasons. One of our primary goals at Databricks is to drive broad adoption of Spark and ensure...
