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Databricks Stock (DATB)

Cloud-Based Big Data Processing Platform

Databricks is a software platform that aims to help its customers unify their analytics across the business, data science, and data engineering.

About Databricks Stock

Founded

2013

Headquarters

San Francisco, CA, US

Total Funding

14.8B

Industries

Software, Data and Analytics, Science and Engineering

Databricks is a software platform that aims to help its customers unify their analytics by managing, processing, and analyzing large-scale data efficiently. The company's platform offers customers a lakehouse architecture that combines the flexibility of data lakes with the performance and reliability of data warehouses, supporting diverse workloads like data engineering, real-time analytics, and machine learning. Databrick's claims to allow costumers to use its platform for faster development and deployment of AI and analytics solutions. 

The company was founded in 2013 and is headquartered in San Francisco, California. Notable investors in Databricks include Andreessen Horowitz, NEA, and Battery Ventures.   

Investors in Databricks

Discover investors in Databricks stock and explore their portfolio companies

Databricks Management

Leadership team at Databricks

Chief Executive Officer

Ali Ghodsi

Chief Financial Officer

David Conte

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Databricks Key Facts

• Databricks has forged strategic partnerships with major tech companies, cloud providers, and industry leaders. These partnerships have the potential to enhance product integrations, broaden market reach, and stimulate innovation through collaborative initiatives.
• Databricks provides a unified analytics platform built on top of Apache Spark, which is optimized for the cloud. This positions Databricks as a leader in cloud-based big data processing and analytics, offering scalability, flexibility, and ease of use. As more organizations migrate to the cloud, Databricks stands to benefit from this trend.
• Databricks has a diverse and expanding customer base across industries including finance, healthcare, retail, and technology. Their subscription-based revenue model provides recurring revenue streams, supported by strong customer retention and expansion metrics.

• While Databricks benefits from partnerships with major cloud providers (AWS, Azure, GCP), it also faces risks associated with these dependencies. Changes in cloud providers' strategies, pricing models, or service levels could affect Databricks' ability to deliver its platform effectively. Additionally, if cloud providers choose to prioritize their own analytics and AI solutions, they may reduce support for Databricks, impacting its integration and market presence.
• As a provider of data analytics solutions, Databricks must navigate evolving regulatory frameworks and ensure robust data privacy and security measures to maintain customer trust and compliance.
• Databricks faces competition from established tech giants and emerging startups in the cloud and AI sectors. Continuous innovation, strong customer relationships, and ecosystem partnerships help mitigate competitive pressures.

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