<\!-- Key Metrics -->
Key Financial Metrics
Databricks' explosive growth trajectory positions it as one of the most anticipated tech IPOs of the decade. Here's where the numbers stand heading into 2026.
$62B
Valuation (Series J)
December 2024 · $10B raised
$3.5B
ARR Target FY2025
~$2.4B ARR in mid-2024
~50%
Revenue Growth YoY
Consistent multi-year trend
$4.5B+
Total Funding Raised
13 funding rounds since 2013
10,000+
Enterprise Customers
Including 60% of Fortune 500
5,000+
Employees
Headquarters: San Francisco
<\!-- About Databricks -->
What Is Databricks?
Databricks was founded in 2013 by Ali Ghodsi and fellow UC Berkeley researchers who created Apache Spark — the world's most widely used open-source data processing engine. The company built the commercial platform on top of that open-source foundation and pioneered the "data lakehouse" architecture, which combines the scalability of data lakes with the reliability of data warehouses.
Today, the Databricks Data Intelligence Platform powers AI development, data engineering, analytics, and machine learning workflows for over 10,000 organizations globally — from startups to enterprises like Shell, T-Mobile, and Condé Nast. The platform's unified approach eliminates the complexity of managing separate data and AI systems.
🚀 Why Databricks Matters for the IPO Market
Databricks represents the intersection of two mega-trends: enterprise AI adoption and data platform consolidation. Its open-source roots (Apache Spark, Delta Lake, MLflow) created a massive developer community that fuels enterprise sales. At $62B, it's among the most valuable private software companies ever — and its IPO will be a benchmark for the entire data/AI infrastructure sector.
Apache Spark
Co-Created By Databricks
Most used big data engine
Delta Lake
Open Format Standard
Lakehouse storage layer
MLflow
ML Lifecycle Platform
Industry-standard ML tracking
DBRX
Databricks LLM
Enterprise-grade open model
<\!-- IPO Timeline -->
IPO Roadmap & Milestones
Databricks has been publicly preparing for an IPO for several years. Here's the key timeline of events leading to the anticipated public offering.
2013
Databricks Founded
Ali Ghodsi and fellow Berkeley AMPLab researchers commercialize Apache Spark
August 2021
Series H — $1.6B at $38B Valuation
First round above $20B, signaling IPO-track trajectory
September 2023
Series I — $500M at $43B Valuation
Company crosses $1B ARR milestone; announces AI push with DBRX model
December 2024
Series J — $10B at $62B Valuation
Largest private tech funding round of 2024. Investors include a16z, T. Rowe Price, NVIDIA, Microsoft, Amazon
Early 2026
$3B+ ARR Milestone
Approaching revenue threshold management cited as pre-IPO requirement
2026
Confidential S-1 Filing (Expected)
SEC confidential filing expected ahead of public offering; timeline remains market-dependent
2026 (TBD)
Public IPO
Expected NYSE or Nasdaq listing, subject to market conditions and regulatory review
<\!-- Competitors Comparison -->
Databricks vs. Competitors
How does Databricks stack up against the public and private players in enterprise data and AI infrastructure?
| Company |
Valuation / Market Cap |
ARR / Revenue |
Core Product |
Status |
| Databricks |
$62B |
$3.5B ARR (target) |
Data Intelligence Platform |
Private (Pre-IPO) |
| Snowflake |
~$45B |
$3.6B ARR |
Cloud Data Warehouse |
Public (SNOW) |
| Palantir |
~$100B |
$2.9B revenue |
AI/Data Analytics Platform |
Public (PLTR) |
| dbt Labs |
~$4.2B |
~$150M ARR |
Data Transformation Layer |
Private |
| Confluent |
~$8B |
$1B+ ARR |
Data Streaming (Kafka) |
Public (CFLT) |
Data as of Q1 2026. Valuations approximate. See full Databricks vs Snowflake comparison →
<\!-- Pre-IPO Investing -->
How to Invest in Databricks Before the IPO
Retail investors can't participate in a Series J round, but pre-IPO shares in Databricks are accessible through secondary market platforms. Here's what you need to know.
⚠️ Important: Pre-IPO Investment Risks
Secondary market shares carry significant risks: illiquidity, lack of company-level disclosure, price volatility, and no guarantee of an IPO. Only accredited investors (net worth > $1M or income > $200K/year) may participate on most platforms. Always consult a financial advisor before investing in pre-IPO securities.
| Platform |
Min Investment |
Type |
Accredited Required |
| Forge Global |
$100,000 |
Secondary shares |
Yes |
| Hiive |
$25,000 |
Secondary shares |
Yes |
| EquityZen |
$10,000 |
SPV / secondary |
Yes |
| Linqto |
$2,500 |
Fractional shares |
Yes |
<\!-- FAQ -->
Frequently Asked Questions
When will Databricks IPO?
Databricks has not filed an S-1 as of April 2026. CEO Ali Ghodsi has indicated the company will IPO "when the time is right" — most analysts project a 2026 window, contingent on reaching its $3.5B ARR target and favorable market conditions. No formal S-1 filing has been made.
What is Databricks' valuation?
Databricks was valued at $62 billion in its December 2024 Series J round, which raised $10 billion from investors including Andreessen Horowitz, T. Rowe Price, NVIDIA, Microsoft, and Amazon. This makes it one of the highest-valued private software companies globally.
What ticker symbol will Databricks use?
No ticker symbol has been announced. Speculation includes "DBRX" or "DBX" — though DBX is already taken by Dropbox. The exchange (NYSE vs Nasdaq) has also not been confirmed.
Who are Databricks' major investors?
Major investors include Andreessen Horowitz (a16z), T. Rowe Price, Morgan Stanley, Fidelity, NVIDIA, Amazon Web Services, Microsoft, and Thrive Capital. The company also counts institutional investors like Wellington Management and Franklin Templeton among its cap table.
Is Databricks profitable?
Databricks has not publicly disclosed profitability figures. The company has indicated it is focused on reaching a sustainable growth/profitability profile before going public. With $3.5B in ARR and continued heavy investment in R&D and sales, profitability timelines remain private.
What does Databricks compete with?
Databricks' primary public competitor is Snowflake (SNOW). In the AI platform space, it competes with Palantir (PLTR), Google BigQuery, AWS SageMaker, Azure Machine Learning, and a range of open-source alternatives. Its key differentiator is the unified lakehouse architecture that eliminates the need for separate data warehouse and data lake systems.
<\!-- CTA -->
Track Every Databricks Update
Get S-1 filing alerts, valuation updates, and IPO timing signals delivered to your inbox. Join 12,000+ investors tracking Databricks and the top 2026 IPOs.
Get IPO Alerts →
<\!-- Related Pages -->