Databricks IPO: Timeline and Latest Status 2025

IPO Status Summary

On this page:

• Latest Databricks IPO News and Developments
• What Is Databricks? Company Overview
• Databricks IPO Timeline: From Founding to Present
• Databricks Financial Profile: Revenue, Growth, and Valuation
• Databricks IPO Readiness: S-1 Filing Status, CEO Statements, and Key Signals
• Databricks vs. Snowflake: IPO Comparison and Business Analysis
• How to Invest in Databricks: Pre-IPO and IPO Access Options
• What Investors Should Know: Risks, Lock-Up Periods, and Post-IPO Considerations
• Frequently Asked Questions About the Databricks IPO

As of June 2025, Databricks has not gone public. The company remains one of the most highly valued private technology companies in the United States, carrying a $43 billion valuation set in its December 2023 funding round. Databricks provides the Databricks Data Intelligence Platform, an enterprise environment for data engineering, analytics, and AI development. This article tracks the complete Databricks IPO timeline, funding history, financial profile, and what investors need to know before a public offering materializes.

Latest Databricks IPO News and Developments

Databricks has not announced an IPO date or filed an S-1 registration statement as of June 2025. The developments below track all material milestones in the company's path toward going public, listed from most recent to earliest.

• Early 2025: No S-1 registration statement filed with the SEC; no official IPO date announced. IPO status remains: private. Source: SEC EDGAR database for Databricks filings
• Mid-2024: Databricks reported approximately $1.6 billion in annual recurring revenue (ARR), growing at more than 50% year over year. Source: Databricks press release
• 2024: Databricks acquired Tabular, a company founded by the creators of Apache Iceberg, for an undisclosed amount; the acquisition consolidated Databricks' position in the open data format ecosystem. Source: Databricks official newsroom
• March 2024: Databricks released DBRX, an open-source large language model that outperformed several leading open-source models on benchmark tests at release. Note: DBRX is the name of the AI model, distinct from any speculated stock ticker use. Source: Databricks blog
• December 2023: Databricks closed its Series I funding round, raising $500 million at a $43 billion valuation, led by Franklin Templeton. Source: Databricks newsroom
• June 2023: Databricks acquired MosaicML, a startup specializing in efficient large language model training, for approximately $1.3 billion. Source: Databricks press release

What Is Databricks? Company Overview

Databricks is a San Francisco-based enterprise technology company that provides the Databricks Data Intelligence Platform, a unified environment for data storage, processing, analytics, and AI and machine learning model development.

What Databricks does

Databricks builds and operates the Data Intelligence Platform, which enterprise organizations use to run SQL analytics, train machine learning models, and process large-scale data workloads on a single system. The platform is delivered as a consumption-based SaaS product, meaning customers pay based on the compute resources they use rather than fixed subscription seats. It runs on all three major cloud providers: Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP). Azure Databricks, a jointly developed service with Microsoft, is among the company's highest-volume deployment channels, reflecting a partnership that goes deeper than a standard marketplace arrangement.

The technical foundation of the platform is the data lakehouse architecture. A data lakehouse combines the low-cost, flexible storage of a data lake with the structured query performance of a data warehouse, allowing enterprises to run SQL analytics and machine learning on a single platform without maintaining two separate systems. This architecture is why large organizations pay for Databricks at scale: they get the cost efficiency of cloud object storage alongside the governance and performance they previously needed a dedicated data warehouse to provide. Databricks has also released widely adopted open-source tools that reinforce its developer ecosystem, including Delta Lake (an open-source storage layer enabling reliable data lakes) and MLflow (a framework for managing the machine learning lifecycle).

Founding story and leadership

Databricks was founded in 2013 by seven researchers from UC Berkeley's AMPLab (Algorithms, Machines, and People Lab), the research laboratory where Apache Spark was originally developed. The seven co-founders are: Ali Ghodsi (CEO), Matei Zaharia (CTO), Ion Stoica, Patrick Wendell, Reynold Xin, Andy Konwinski, and Scott Shenker.

Matei Zaharia created Apache Spark as a PhD student at UC Berkeley. Spark became the dominant framework for large-scale distributed data processing, and Databricks was built specifically to commercialize it as a managed, enterprise-grade service. The open-source foundation of Spark gave Databricks a developer adoption base that feeds enterprise sales, which constitutes the company's core go-to-market advantage.

Ali Ghodsi, who completed his PhD at UC Berkeley's AMPLab alongside Zaharia, serves as CEO and is the primary public voice on the company's IPO trajectory. His statements on timing are covered in the IPO Readiness section below.

Why Databricks commands a $43 billion valuation

The data lakehouse architecture addresses a problem every large enterprise faces: they need both the cost efficiency of data lakes and the query performance of data warehouses, and Databricks sells access to both in one managed platform. The consumption-based SaaS model means revenue scales directly with customer usage, creating a durable, compounding revenue base as enterprise data volumes grow. Customers who begin with one workload tend to expand to others over time. This architecture, combined with a consumption revenue model and a multi-cloud deployment strategy that removes dependency on any single cloud provider, forms the basis for the company's $43 billion private market valuation and the sustained investor interest in a public offering.

Databricks IPO Timeline: From Founding to Present

Databricks has spent twelve years building from a seven-person research spinout to one of the most valuable private technology companies in the United States. Each funding milestone in the table below reflects growing institutional confidence in the company's data and AI platform. The absence of an S-1 filing remains the single pending milestone separating Databricks from a public market debut.

No official IPO date has been confirmed for 2025. The company's ARR trajectory, the participation of Franklin Templeton in the December 2023 round, and the pattern of acquisitions that position Databricks as an AI platform are all factors that financial analysts and media have cited as consistent with IPO preparation. Until an S-1 is filed, any specific date estimate is speculative. The S-1 filing, when it comes, will typically precede a listing by three to six weeks and will be the first legally binding public signal that an offering is underway. Databricks did not complete an IPO in 2024 despite the December 2023 funding round suggesting readiness.

Databricks Financial Profile: Revenue, Growth, and Valuation

Databricks reported approximately $1.6 billion in annual recurring revenue as of mid-2024, growing at more than 50% year over year, a trajectory that has sustained investor confidence through nine funding rounds spanning a decade.

Databricks revenue and ARR growth

Databricks reported approximately $1.6 billion in annual recurring revenue (ARR) as of mid-2024, representing growth of more than 50% year over year. Annual recurring revenue (ARR) measures the annualized value of subscription and consumption-based revenue, and is the standard growth metric for SaaS companies. The figure is sourced from Databricks press releases and verified reporting.

The company's ARR growth trajectory shows consistent acceleration:

• ~$200M (2019)
• ~$600M (2021)
• ~$1B (2022)
• ~$1.6B (mid-2024)

At a 50%+ annual growth rate, Databricks satisfies the SaaS "Rule of 40" benchmark (which holds that a company's growth rate plus profit margin should exceed 40%) even if it operates at a meaningful operating loss. This matters to investors because it positions the company favorably against public SaaS peer valuation benchmarks.

Databricks has not publicly disclosed net income or operating profit figures, as it is a private company not subject to public financial reporting. Full financial details, including gross margin, operating income, and net income, will be disclosed in the S-1 filing when one is submitted.

Databricks valuation: $43 billion and the path to IPO pricing

Databricks' current private market valuation stands at $43 billion, set in December 2023 when the company closed its Series I (the ninth institutional funding round, A through I) led by Franklin Templeton. Franklin Templeton is a traditional institutional asset manager, not a venture capital firm. Its participation in a late-stage private round signals that crossover investors (the type who also participate in public market IPO allocations) are positioning themselves ahead of a public offering.

At the December 2023 valuation of $43 billion against approximately $1.6 billion in ARR, Databricks trades at an implied ARR multiple of roughly 27x. This is implied private market valuation math, not confirmed IPO pricing. Actual IPO pricing will depend on market conditions, investor demand, and comparable public company multiples at the time of the offering. The $43 billion private valuation may or may not be sustained in public markets.

The funding history table below shows the full valuation progression. Andreessen Horowitz (a16z), one of Silicon Valley's most prominent venture capital firms, led Databricks' earliest institutional rounds, including its Series A in 2013, a signal of early conviction that contributed to the company's credibility with later investors.

Databricks funding history

Databricks has raised more than $3.9 billion across nine institutional funding rounds since its 2013 founding. The table below shows the complete history, compiled from Crunchbase and the Databricks official newsroom.

Databricks IPO Readiness: S-1 Filing Status, CEO Statements, and Key Signals

As of June 2025, Databricks has not filed an S-1 registration statement with the U.S. Securities and Exchange Commission, and no formal IPO process has been initiated.

S-1 filing status

As of June 2025, Databricks has not filed an S-1 registration statement with the U.S. Securities and Exchange Commission (SEC). An S-1 is the prospectus document a company must file with the SEC before proceeding with an IPO, disclosing financials, risk factors, business model, and use of proceeds. The S-1 is typically submitted three to six weeks before an IPO listing and is the first public, legally binding signal that an offering is imminent.

Investors and analysts tracking the Databricks IPO can monitor the SEC EDGAR database for Databricks filings directly. This section will be updated immediately upon any S-1 submission.

What Databricks CEO Ali Ghodsi has said about the IPO

Ali Ghodsi, Databricks' chief executive officer and one of its seven co-founders, has publicly characterized an IPO as a matter of when rather than if, while declining to commit to a specific timeline.

According to multiple published reports from Bloomberg and other financial media outlets across 2023 and 2024, Ghodsi has consistently cited market conditions as the primary factor governing timing decisions. He indicated in these interviews that Databricks has the financial profile to go public and has not ruled out a near-term offering, but has stopped short of committing to a specific calendar date. His position, as reported across these outlets, is that the company will pursue an IPO when conditions are favorable rather than on a fixed schedule.

As of June 2025, Ghodsi has not made a public statement confirming a specific 2025 IPO timeline. If and when he does, this section will be updated with direct attribution and sourcing.

Other IPO readiness signals

The participation of Franklin Templeton, a traditional institutional asset manager, in the December 2023 Series I round is widely interpreted by analysts as a signal that Databricks is positioning for a near-term public offering. Asset managers of Franklin Templeton's profile typically participate in late-stage private rounds specifically to establish positions before an IPO, distinguishing them from earlier-stage venture capital participants.

No investment banks have been officially named as lead underwriters for a Databricks IPO, as the company has not formally initiated the IPO process. For offerings of this scale, firms such as Goldman Sachs and Morgan Stanley have historically served as lead underwriters, but these names are speculative for Databricks and have not been confirmed by the company or any official source. Named underwriters will appear on the cover page of the S-1 when one is filed.

The AI sector IPO market showed renewed activity in 2024 and into 2025, with investor appetite for enterprise AI infrastructure companies remaining active. This context supports the case for a Databricks public offering, though market conditions can shift quickly.

Milestones that remain pending before a public offering can proceed:

• S-1 registration statement filed with the SEC
• Stock exchange selection announced
• Lead underwriters formally appointed
• IPO roadshow conducted
• IPO price set and shares allocated

Databricks vs. Snowflake: IPO Comparison and Business Analysis

Snowflake, Inc.'s September 2020 IPO is the most direct benchmark for a Databricks public offering, having raised approximately $3.4 billion at a $33 billion valuation and opening at $245 against an initial offer price of $120, a first-day gain of roughly 104% that made it the largest software IPO at that time. Databricks and Snowflake occupy adjacent positions in the enterprise data platform market, making the comparison both commercially and financially relevant. That said, the market environment of 2025 differs materially from 2020, and valuation multiples across the SaaS sector have compressed significantly since that peak.

Snowflake figures are sourced from Snowflake investor relations and SEC filings.

The two companies share a consumption-based SaaS model and a multi-cloud deployment strategy, but they differ at the architectural and strategic level. Snowflake is built as a cloud data warehouse: fast, SQL-optimized, and designed primarily for analytics workloads. Databricks is built on the data lakehouse model, which adds machine learning, real-time processing, and AI workloads to the SQL analytics capability. This makes Databricks better positioned for organizations that run AI and ML pipelines alongside traditional analytics, while Snowflake's SQL-first approach has historically served pure analytics use cases. Both companies have spent the past several years expanding into each other's territory: Snowflake has added ML features, and Databricks has strengthened its SQL analytics capabilities.

The business model parallels are genuine, but the competitive positioning and customer use cases are diverging. Both companies price based on compute consumption, which creates revenue that scales with customer data growth. Both focus on large enterprise customers with complex data needs. Both operate across all three major clouds to avoid dependency on a single hyperscaler.

The market context for a Databricks IPO differs materially from Snowflake's 2020 debut. Snowflake's IPO occurred during peak SaaS valuation conditions, when investors were applying revenue multiples of 50x or higher to high-growth cloud companies. Since 2021, those multiples have compressed substantially. Databricks' implied ARR multiple of roughly 27x, calculated from its $43 billion private valuation against approximately $1.6 billion in ARR, reflects the more normalized environment Databricks will face at IPO. Snowflake's post-IPO stock trajectory (it reached a peak of approximately $400 per share before declining significantly) also illustrates the volatility that can follow high-valuation tech listings.

Databricks' competitive landscape extends beyond Snowflake to include Google BigQuery, Amazon Redshift, and Microsoft Fabric, each backed by a cloud hyperscaler with substantial distribution advantages. Palantir Technologies (NYSE: PLTR), which went public via direct listing in September 2020 (a mechanism distinct from a traditional IPO), is another useful comparable for enterprise AI platform valuations, though its government-heavy revenue mix differs from Databricks' enterprise SaaS focus. Confluent (NASDAQ: CFLT, IPO June 2021) provides an additional reference point for how the market values open-source-based enterprise software companies.

How to Invest in Databricks: Pre-IPO and IPO Access Options

This section is for informational purposes only and does not constitute investment advice. Investing in IPOs carries significant risk. Consult a qualified financial advisor before making any investment decisions.

Databricks shares are not available for purchase on public markets. The company has not yet initiated a public offering. The options below describe how investors currently access or plan to access Databricks equity across three scenarios.

Before the IPO: secondary market options

Standard retail investors cannot currently purchase Databricks shares through conventional channels. Accredited investors, defined by the SEC as individuals with annual income exceeding $200,000 or net worth exceeding $1 million excluding primary residence, may access Databricks shares through secondary market platforms such as EquityZen and Forge Global. These platforms facilitate purchases of shares from current shareholders, typically employees or early investors who wish to sell a portion of their holdings before a public offering.

Secondary market transactions carry higher risk, lower liquidity, and less transparency than public market investing. Prices on these platforms are set by individual transactions and may differ significantly from the eventual IPO price. Secondary market access also typically requires company approval, and not all shareholders are eligible to sell at any given time.

At IPO: how to access shares on listing day

When Databricks eventually completes an IPO, shares will become available through standard brokerage accounts on listing day. Some brokerages, including Fidelity, Charles Schwab, and TD Ameritrade, offer IPO allocation access for qualifying customers, though retail allocations are typically limited and not guaranteed. The mechanics of allocation eligibility vary by brokerage and are worth reviewing in advance.

Most retail investors will access shares on the open market at or shortly after the listing date rather than through a pre-IPO allocation. The total number of shares Databricks will offer has not been disclosed and will be detailed in the S-1 filing when one is submitted.

After the IPO: open market purchase

Following an IPO, any investor with a standard brokerage account can purchase Databricks shares on the open market at the prevailing market price. IPO-day pricing and post-listing volatility are worth monitoring. High-profile technology IPOs often experience significant price swings in the days and weeks following listing, as seen with both Snowflake and Palantir after their respective market debuts.

What Investors Should Know: Risks, Lock-Up Periods, and Post-IPO Considerations

Investors tracking the Databricks IPO should understand two dynamics that shape post-IPO trading: the lock-up period that restricts insider selling, and the risk factors that any S-1 filing will formally disclose.

Understanding the lock-up period

A lock-up period is a contractual restriction, typically running 90 to 180 days following an IPO, that prohibits company insiders from selling their shares on the open market. Insiders in this context means founders, employees holding equity, and early-stage investors who received shares before the public offering.

Lock-up expiration often results in increased selling pressure and potential price volatility, as a large number of shares become eligible for sale simultaneously. For a company of Databricks' scale, with a large engineering workforce and nine rounds of venture capital investment spanning twelve years, the size of the insider shareholder base is substantial. When the lock-up expires, market participants will watch closely for any sustained selling activity.

Lock-up terms will be disclosed in the S-1 filing. As no S-1 has been filed, no specific lock-up duration has been announced. The lock-up period is distinct from the quiet period (the SEC-mandated restriction on public communications surrounding an IPO) and from individual employee vesting schedules, which determine when equity grants become exercisable.

Key risk factors to consider

The following risk factors are informational only and do not constitute investment advice. Specific risk disclosures will appear in the S-1 filing when one is submitted.

1. Valuation risk. The $43 billion private market valuation was set in December 2023 under specific market conditions. Many technology companies that went public at peak valuations in 2020 and 2021 experienced significant post-IPO price declines. Public market investors may assign a lower multiple than private market participants did.

2. Profitability uncertainty. Databricks has not disclosed a path to GAAP profitability. Net income, operating income, and gross margin figures will not be publicly available until the S-1 is filed. The company may be operating at a loss at the time of the offering, which is common for high-growth SaaS companies but is a risk factor nonetheless.

3. Competitive pressure. Snowflake, Google, Microsoft, and Amazon all compete in adjacent or overlapping markets with substantially greater resources and existing customer relationships. Each of these companies has the ability to price aggressively to defend or expand market share.

4. Market timing. IPO windows can close quickly if market sentiment toward AI or technology companies shifts. A sustained market downturn or a change in interest rate conditions could push the offering timeline further out.

5. Lock-up overhang. Post-IPO insider selling at lock-up expiration can create meaningful price pressure, particularly for a company with Databricks' scale of employee equity and VC holdings.

Employee equity and liquidity

Databricks employees holding RSUs or stock options gain liquidity through three paths:

1. Company-sponsored tender offers, which Databricks has conducted periodically to provide pre-IPO liquidity
2. The IPO itself, subject to lock-up restrictions for the standard post-listing period
3. Private secondary market sales through platforms such as EquityZen or Forge Global, subject to company approval and accredited investor requirements

The IPO remains the primary liquidity event for the majority of employee equity holders. Secondary market platforms offer partial liquidity options for those who qualify, but the scale of access is limited compared to what a public listing would provide.

Frequently Asked Questions About the Databricks IPO

Has Databricks gone public?

No. As of June 2025, Databricks has not gone public. The company remains a privately held corporation headquartered in San Francisco, California. No S-1 registration statement has been filed with the SEC, and no official IPO date has been announced.

What is Databricks' current valuation?

Databricks was most recently valued at $43 billion in December 2023, following a $500 million Series I funding round led by Franklin Templeton. This makes it one of the most highly valued private technology companies in the United States. The company's valuation at IPO will be determined by market conditions at the time of listing.

When will Databricks IPO?

No official IPO date has been announced. CEO Ali Ghodsi has publicly indicated interest in going public but has not committed to a specific timeline. The key milestone to watch is a formal S-1 filing with the SEC, which would typically precede an IPO by three to six weeks.

What is Databricks' revenue?

Databricks reported approximately $1.6 billion in annual recurring revenue (ARR) as of mid-2024, representing growth of more than 50% year over year. Full revenue, gross margin, and profitability figures will be disclosed publicly when the company files an S-1 registration statement.

What does Databricks do?

Databricks is an enterprise technology company that provides the Databricks Data Intelligence Platform, a unified system for data engineering, analytics, and AI and machine learning model development. The platform is built on a data lakehouse architecture that combines the flexibility of a data lake with the performance of a data warehouse. Databricks serves enterprise customers in financial services, healthcare, retail, and other industries.

What stock exchange will Databricks list on?

Databricks has not announced which stock exchange it will list on. NASDAQ is widely anticipated given its concentration of technology company listings, but neither a NASDAQ nor NYSE listing has been officially confirmed by the company.

How much has Databricks raised in funding?

Databricks has raised more than $3.9 billion in total funding across nine institutional rounds (Series A through Series I), spanning from its founding in 2013 through December 2023. Its most recent round was a $500 million Series I investment led by Franklin Templeton in December 2023, which valued the company at $43 billion.

Who founded Databricks?

Databricks was founded in 2013 by seven researchers from UC Berkeley's AMPLab (Algorithms, Machines, and People Lab): Ali Ghodsi (CEO), Matei Zaharia (CTO and creator of Apache Spark), Ion Stoica, Patrick Wendell, Reynold Xin, Andy Konwinski, and Scott Shenker. The founders established Databricks to commercialize Apache Spark, the distributed data processing framework Zaharia created during his doctoral research at UC Berkeley.

Who are Databricks' main competitors?

Databricks' primary competitor is Snowflake, Inc. (NYSE: SNOW), which provides a competing cloud data platform. Other significant competitors include Google BigQuery, Amazon Redshift, Microsoft Fabric, and Palantir Technologies (NYSE: PLTR). Databricks differentiates itself through its data lakehouse architecture, open-source strategy, and machine learning and AI capabilities.

Is Databricks profitable?

Databricks has not publicly disclosed profitability figures, as it is a private company not subject to public reporting requirements. The company reported an ARR run rate of approximately $1.6 billion as of mid-2024, with growth exceeding 50% year over year. Full financial details, including gross margin, operating income, and net income, will be disclosed in the S-1 filing when one is submitted.

Databricks remains one of the most closely watched potential IPOs in the technology sector, but as of June 2025, the company has not filed an S-1 or announced an official IPO date. The S-1 filing with the SEC will be the first concrete, legally binding signal that an offering is imminent. Bookmark this page; the Latest Developments section and Quick Answer box will be updated as new information becomes available.