Today I provide stock market analysis on Databricks IPO and Databricks stock, which could be a direct listing. Databricks is the Data + Artificial Intelligence (AI) company. Databricks is about big data : data management, business analytics, and machine learning (ML). With origins in academia and the open-source community, Databricks was founded in 2013 by the original creators of Apache Spark, Delta Lake and MLflow. Built on a modern Lakehouse architecture in the cloud, Databricks combines the best of data warehouses and data lakes to offer an open and unified platform for data and AI. I am excited about UiPath and Databricks. I already covered UiPath on my last video. They focus on Robotic Process Automation (RPA). Databricks is a unicorn all about BIG DATA. The Databricks IPO date is unknown; however, Databricks plans on going public in 2021. Could Databricks be bigger than Snowflake (SNOW)? Should you buy Databricks stock when it launches its IPO? Is Databricks a top growth stock for 2021? Could Databricks boost your long term investing stock market portfolio?

Databricks is the only open, unified platform for:
1. Data management
2. Business analytics
3. Machine learning (ML)
Databricks provides a unified, open platform for all of your data.
It empowers data scientists, data engineers and data analysts.

Databricks is from the original creators of some of the world’s most popular open source platforms: Apache Spark, Delta Lake, mlFlow, and Koalas.

Databricks builds on these technologies to deliver a true Lakehouse architecture, combining the best of data lakes and data warehouse.
For a fast, scalable, and reliable data platform. Built for the cloud, data is stored in low-cost cloud object stores, such as AWS S3 and Azure data lake storage with perform and access enabled through caching, optimized data layout, and other techniques.

Databricks provides an enterprise-ready SaaS data platform. Databricks is widely known for their work with Spark. Spin up and scale out clusters to hundreds of nodes and beyond with just a few clicks, without IT or DevOps. Easily harness the power of Spark for streaming, machine learning, graph processing, and more.

Today, more than five thousand organizations worldwide —including Shell, Comcast, CVS Health, HSBC, T-Mobile and Regeneron — rely on Databricks to enable massive-scale data engineering, collaborative data science, full-lifecycle machine learning and business analytics. See real world examples.

Headquartered in San Francisco with offices around the world and hundreds of global partners, including Microsoft, Amazon, Tableau, Informatica, Cap Gemini and Booz Allen Hamilton, Databricks is on a mission to simplify and democratize data and AI, helping data teams solve the world’s toughest problems.

"Databricks and Snowflake are direct competitors in cloud data warehousing, although both shun that term. Snowflake now calls its product a “data cloud,” while Databricks coined the term “lakehouse” to describe a fusion between free-form data lakes and structured data warehouses. “This lakehouse paradigm is what’s fueling our growth, and it’s great to see how excited our investors are to be a part of it,” Chief Executive Ali Ghodsi (pictured) said in a statement.

Both companies are attacking the same problem, which is the silos of disconnected data that tend to grow up in organizations over time. Databricks’ software can be used to build information pipelines across those silos so that data can be analyzed and labeled for use in artificial intelligence model training. The software also comes with collaborative features that enable data scientists and engineers to work together. Snowflake provides many of the same capabilities. Although its platform is not available under an open-source license, its metadata stores are based on the open-source FoundationDB distributed data store.

Databricks has emerged victorious from a crowded and competitive market that has seen many others fail, said Svetlana Sicular, a research vice president at Gartner Inc. “Some similar market players that started with open source remained niche, struggled or even are out of business,” she said. “Databricks, however, evolved to a commercial company with a broader range of products and a forward-looking vision.”

Sources:
https://www.forbes.com/sites/alexkonr...
https://www.protocol.com/enterprise/d...
https://seekingalpha.com/news/3659296...
https://seekingalpha.com/article/4400...
https://databricks.com/

Disclaimer:
THIS IS NOT FINANCIAL OR LEGAL ADVICE AND IS FOR INFO & ENTERTAINMENT ONLY. I AM NOT A FINANCIAL ADVISOR.

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