Databricks

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Overview

Databricks
Sectors
Data, Analytics, SaaS
Headquarters
San Francisco, California, USA
CEO
Ali Ghodsi
Databricks raised $500.0M in a Series I Valuation at a $73.5 price per share, amounting to a post-money valuation of $43.0B on September 14, 2023. PMI data indicates that Databricks's shares have been trading at an 23.3% premium to their Series I Valuation based on institutional secondary market activity.
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Series I Valuation
Latest funding round
$43.0B
XXXXX
2023-09-14
XX-XX-XXXX
AV Implied Valuation
$53.01B
2024-12-16
AV Implied Valuation
XXXXX
XX-XX-XXXX
Change since Last Round
+23.3%
2023-09-14 ➞ 2024-12-16
Change since Last Round
XXXXX
XX-XX-XXXX
Secondary Activity
High
XXXXX
Volume
$473.51M
XXX
(90 day period)
Bid
XXX
Ask
XXX
Bid
$63.28M
Ask
$410.22M

“To accelerate innovation for its customers by unifying data science, engineering, and business, enabling organizations to extract value from big data and drive transformative use cases.”

Founded in 2013 by the creators of Apache Spark, including Ali Ghodsi, Matei Zaharia, and others, Databricks is a data and AI company headquartered in San Francisco, California. It provides a Unified Analytics Platform that allows data science teams to collaborate with data engineering and business lines to build data products. Databricks simplifies data processing by offering a fully managed, scalable, and secure cloud infrastructure, serving a global customer base that includes companies like Salesforce, Viacom, and Shell.

Business Model

Databricks operates on a subscription-based model, providing its Unified Analytics Platform as a service. The platform integrates with major cloud providers such as AWS, Azure, and Google Cloud, offering tools for data management, machine learning, and real-time analytics. Databricks generates revenue through subscriptions and additional services, focusing on reducing operational complexity and total cost of ownership for its clients.

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Targeted Impact

Databricks aims to be the foundational platform for data-driven innovation, enabling organizations to harness the power of data, analytics, and AI.

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Who Will benefit?

Organizations across various industries, including technology, finance, healthcare, and retail, will benefit from Databricks' comprehensive data and AI solutions.

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What Comes Next?

Databricks plans to continue expanding its platform capabilities and partnerships to support the growing demand for data-driven insights and AI applications.

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Databricks Growth Timeline

Databricks and Competition

Databricks competes with other data and AI platforms such as Snowflake, Google BigQuery, and Amazon Redshift. Its focus on unifying data science, engineering, and business processes differentiates it from competitors.

Key Partners

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