{"id":26145,"date":"2021-09-05T12:06:10","date_gmt":"2021-09-05T12:06:10","guid":{"rendered":"https:\/\/rbsitsoftwaresolution.com\/blog\/databricks-raises-1-6b-at-38b-valuation-as-it-blasts-past-600m-arr.html"},"modified":"2021-09-05T12:06:10","modified_gmt":"2021-09-05T12:06:10","slug":"databricks-raises-1-6b-at-38b-valuation-as-it-blasts-past-600m-arr","status":"publish","type":"post","link":"https:\/\/www.rbsitsoftwaresolution.in\/blog\/databricks-raises-1-6b-at-38b-valuation-as-it-blasts-past-600m-arr.html","title":{"rendered":"Databricks raises $1.6B at $38B valuation as it blasts past $600M ARR"},"content":{"rendered":"

Databricks<\/a> this morning<\/span> confirmed earlier reports that it was raising new capital at a higher valuation. The data- and AI-focused company has secured a $1.6 billion round at a $38 billion valuation<\/a>, it said. Bloomberg first reported<\/a> last week that Databricks was pursuing new capital at that price.<\/p>\n

The Series H was led by Counterpoint Global, a Morgan Stanley fund. Other new investors included Baillie Gifford, UC Investments and ClearBridge. A grip of prior investors also kicked in cash to the round.<\/p>\n

The new funding brings Databricks\u2019 total private funding raised to $3.5 billion. Notably, its latest raise comes just seven months after the late-stage startup raised $1 billion on a $28 billion valuation<\/a>. Its new valuation represents paper value creation in excess of $1 billion per month.<\/p>\n

The company, which makes open source and commercial products for processing structured and unstructured data in one location, views its market as a new technology category. Databricks calls the technology a data \u201clakehouse,\u201d a mashup of data lake and data warehouse.<\/p>\n

Databricks CEO and co-founder Ali Ghodsi<\/a> believes that its new capital will help his company secure market leadership.<\/p>\n

For context, since the 1980s, large companies have stored massive amounts of structured data in data warehouses. More recently, companies like Snowflake and Databricks have provided a similar solution for un<\/em>structured data called a data lake.<\/p>\n

In Ghodsi\u2019s view, combining structured and unstructured data in a single place with the ability for customers to execute data science and<\/em> business-intelligence work without moving the underlying data is a critical change in the larger data market.<\/p>\n

\u201c[Data lakehouses are] a new category, and we think there\u2019s going to be lots of vendors in this data category. So it\u2019s a land grab. We want to quickly race to build it and complete the picture,\u201d he said in an interview with TechCrunch.<\/p>\n

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9 investors discuss hurdles, opportunities and the impact of cloud vendors in enterprise data lakes<\/a><\/p>\n<\/blockquote>\n

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Ghodsi also pointed out that he is going up against well-capitalized competitors and that he wants the funds to compete hard with them.<\/p>\n

\u201cAnd you know, it\u2019s not like we\u2019re up against some tiny startups that are getting seed funding to build this. It\u2019s all kinds of [large, established] vendors,\u201d he said. That includes Snowflake, Amazon, Google and others who want to secure a piece of the new market category that Databricks sees emerging.<\/p>\n

The company\u2019s performance indicates that it\u2019s onto something.<\/p>\n

Growth<\/strong><\/h2>\n

Databricks has reached the $600 million annual recurring revenue (ARR) milestone, it disclosed as part of its funding announcement. It closed 2020 at $425 million ARR, to better illustrate how quickly it is growing at scale.<\/p>\n

Per the company, its new ARR figure represents 75% growth, measured on a year-over-year basis.<\/p>\n

That\u2019s quick for a company of its size; per the Bessemer Cloud Index, top-quartile public software companies are growing at around 44% year over year. Those companies are worth around 22x their forward revenues.<\/p>\n

At its new valuation, Databricks is worth 63x its current ARR. So Databricks isn\u2019t cheap, but at its current pace should be able to grow to a size that makes its most recent private valuation easily tenable when it does go public, provided that it doesn\u2019t set a new, higher bar for its future performance by raising again before going public.<\/p>\n

Ghodsi declined to share timing around a possible IPO, and it isn\u2019t clear whether the company will pursue a traditional IPO or if it will continue to raise private funds so that it can direct list when it chooses to float. Regardless, Databricks is now sufficiently valuable that it can only exit to one of a handful of mega-cap technology giants or go public.<\/p>\n

Why hasn\u2019t the company gone public? Ghodsi is enjoying a rare position in the startup market: He has access to unlimited capital. Databricks had to open another $100 million in its latest round, which was originally set to close at just $1.5 billion. It doesn\u2019t lack for investor interest, allowing its CEO to bring aboard the sort of shareholder he wants for his company\u2019s post-IPO life \u2014 while enjoying limited dilution.<\/p>\n

This also enables him to hire aggressively, possibly buy some smaller companies to fill in holes in Databricks\u2019 product roadmap, and grow outside of the glare of Wall Street expectations from a position of capital advantage. It\u2019s the startup equivalent of having one\u2019s cake and eating it too.<\/p>\n

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Would the math work if Databricks were valued at $38B?<\/a><\/p>\n<\/blockquote>\n

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But staying private longer isn\u2019t without risks. If the larger market for software companies was rapidly devalued, Databricks could find itself too expensive to go public at its final private valuation. However, given the long bull market that we\u2019ve seen in recent years for software shares, and the confidence Ghodsi has in his potential market, that doesn\u2019t seem likely.<\/p>\n

There\u2019s still much about Databricks\u2019 financial position that we don\u2019t yet know \u2014 its gross margin profile, for example. TechCrunch is also incredibly curious what all its fundraising and ensuing spending have done to near-term Databricks operating cash flow results, as well as how long its gross-margin adjusted CAC payback has evolved since the onset of COVID-19. If we ever get an S-1, we might find out.<\/p>\n

For now, winsome private markets are giving Ghodsi and crew space to operate an effectively public company without the annoyances that come with actually being public. Want the same thing for your company? Easy: Just reach $600 million ARR while growing 75% year over year.<\/p>\n

Article source: http:\/\/feedproxy.google.com\/~r\/techcrunchIt\/~3\/huq3TVr1uHI\/<\/p>","protected":false},"excerpt":{"rendered":"

Databricks this morning confirmed earlier reports that it was raising new capital at a higher valuation. The data- and AI-focused company has secured a $1.6 billion round at a $38 <\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"jetpack_post_was_ever_published":false,"_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_publicize_message":"","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":true,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2}},"categories":[19],"tags":[25],"class_list":["post-26145","post","type-post","status-publish","format-standard","hentry","category-enterprise-software","tag-enterprise"],"aioseo_notices":[],"aioseo_head":"\n\t\t\n\t\n\t\n\t\n\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t