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.”
Disclaimer: THIS IS NOT FINANCIAL OR LEGAL ADVICE AND IS FOR INFO & ENTERTAINMENT ONLY. I AM NOT A FINANCIAL ADVISOR.
#databricks #stocks #IPO #highgrowth #unicorn #bigdata #stocks #IPO #highgrowth #unicorn #cloud #saas #growthstocks #artificialintelligence #machinelearning #datawarehouse #BigDataAnalytics
Today, I provide stock market analysis on UiPath IPO and UiPath stock ($UIPTH stock). The UI Path IPO date is not currently known; however, the Robotic Process Automation (RPA) disrupter is expected to IPO in the first half of 2021. Fast-growing robotic process automation startup UiPath Inc. is setting its sights on Wall Street after filing confidential paperwork for an initial public offering that will likely come in the first half of 2021.
Should you buy UiPath stock when it launches its IPO? Is UiPath a top growth stock for 2021?
I also discuss Blue Prism stock OTCPK : BPRMF.
The RPA market: "RPA, in simplest terms, is a software that helps automate repetitive and tedious desk work, saving money and time. Human staff can be reallocated to more higher value tasks that can generate more benefit to the business - or be replaced. It basically works like a macro on Excel but requires limited programming skills. The software is termed 'non-intrusive', as it works without causing disruption or any need for system integration work with your existing IT infrastructure - this is quite an attractive idea for firms running legacy systems that would be expensive to replace, like in banks and insurance companies. Despite what sounds like a high value-add piece of software, RPA is technically not that difficult to develop. Also, if you need cognition (thinking) behind your business process, artificial intelligence (AI) may be a better alternative. Nowadays, RPA and AI in its various forms are being offered as complementary solutions." In December, UiPath confirmed confidentially filing for an IPO that Bloomberg sources said could be valued at above $20B. At the time, CNBC reported that the company had about $360M in annual revenue with more than 6,300 customers, including Amazon and Verizon. UiPath's AI-backed Automation Platform is meant to "automate millions of repetitive, mind-numbing tasks for business and government organizations all over the world, improving productivity, customer experience and employee job satisfaction." Gartner expects worldwide robotic process automation software revenue to reach nearly $2B this year (up 20% Y/Y) and grow at double-digit rates through 2024. “The key driver for RPA projects is their ability to improve process quality, speed and productivity, each of which is increasingly important as organizations try to meet the demands of cost reduction during COVID-19,” said Fabrizio Biscotti, research vice president at Gartner. Microsoft (MSFT) has made a strong RPA push in recent years, adding the capabilities to its Power Automate solution in 2019 and acquiring RPA startup Softmotive early last year. In July, IBM (NYSE:IBM) acquired Brazilian RPA startup WDG Automation. In December, SAP (NYSE:SAP) launched its Intelligent Robotic Process Automation solution. UiPath also competes with Blue Prism (OTCPK:BPRMF). In a recent bullish call, Seeking Alpha contributor Karreta Advisors recommended buying Blue Prism ahead of the UiPath IPO, seeing Blue Prism as "valued at a 50% discount to where UiPath is likely to list on a prospective Price to Sales multiple."
Disclaimer: I have been investing in the stock market for over 20 years, but I am not a financial advisor or a legal professional, and I am not providing financial or legal advice. The information provided is for informational purposes only. It should not be considered legal or financial advice. You should consult with an attorney or other professional to determine what may be best for your individual needs. FIRED Up Wealth and Eric Cuka do not make any guarantee or other promise as to any results that may be obtained from using our content. No one should make any investment decision without first consulting his or her own financial advisor and conducting his or her own research and due diligence. Past performance is no guarantee of future results.
#stocks #IPO #uipath
Today, I’d like to share my Top 15 rules to successful long-term investing. These are top stock market tips for investors. Every game has rules, and in order to win and maximize your potential, you need to understand the rules of the stock market. Each person may have his or her own rules at a micro level, but my top 15 investment rules are focused on the macro level, and they should apply to any long-term investor. The key term is long-term investor. There’s no get rich quick method with my approach. Long-term investing takes time, patience, discipline, and well quite frankly, tolerance to pain. Sure, you need to eliminate all emotion when investing, but that’s much easier said than done. Even successful long term investors like me cringe when they see huge losses. The difference is we can turn a switch and move on, focusing on what to buy when there’s blood in the streets, focusing on the long term: five, ten, fifteen years from now. I see way too many people aimlessly surfing the Internet on Facebook, Twitter, StockTwits, etc looking for advice and stock tips, but It’s clear that the majority don’t understand the game and they don’t have a plan. You need a plan and a set of rules that coincides with your plan. My list should help, so let’s get started!
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#Stocks #Investing #StockMarket101 #longterminvesting #stocktips
With recent events and the Wall Street Bets (WSB) #Reddit army, stocks like #Gamestop (#GME), #AMC, #BB, #NOK, #BBBY, #SLV, and others have been part of an epic short squeeze. This video discusses the Panic of 1901, the history of the Union Pacific Railroad Short Squeeze , and the first stock market crash on the New York Stock Exchange. Was UNP the Biggest Short Squeeze of the Last Century? It was certainly a historic short squeeze and one for the history books. Gamestop’s story is still unfolding, and it will be interesting to see how the story ends. Behavioral economics (also, behavioural economics) studies the effects of psychological, cognitive, emotional, cultural and social factors on the decisions of individuals and institutions and how those decisions vary from those implied by classical economic theory. This is not something often studied for stock market investing; however, I think it should be. Behavioral Economics, simply, is the study of #psychology as it relates to the economic decision-making processes of individuals and institutions. Psychology is very important to stock market investing. Especially for day traders, but really for any type of investor, whether long-term investing or trading.
#shortsqueeze #stockmarkethistory #stockmarket #BehavioralEconomics