Inhalte werden geladen...
Databricks)
Databricks is a leading global data and AI company founded in 2013, headquartered in San Francisco with over 6,000 employees.
Independent B2B performance index (0–100 points). It is calculated mathematically and without subjective influence from four verified pillars: company stability, aggregated feedback from publicly available online sources, documented compliance certifications, and operational transparency.
Headquarters
San Francisco, California, USA
Employees
6000+
Founded
2013
Databricks is a leading global data and AI company founded in 2013, headquartered in San Francisco with over 6,000 employees. The company offers the Databricks Data Intelligence Platform, a pioneering solution based on an open lakehouse architecture. This architecture combines the best features of data lakes and data warehouses into a single, consistent platform. Databricks enables organizations to manage data assets efficiently, unify governance across the entire data estate, and develop and operate custom AI models tailored to their business. Core features include Delta Lake for ACID transactions, Unity Catalog for centralized governance, and Databricks SQL for high-performance BI analytics. In addition, the platform offers an end-to-end environment for the entire ML lifecycle with Databricks Machine Learning and the integrated Feature Store. With support for leading cloud platforms such as AWS, Azure, and Google Cloud, Databricks integrates seamlessly into existing infrastructures.
No verified certifications (such as ISO 27001 or SOC 2) are currently listed for this provider. Information about compliance with standards such as GoBD or GDPR may still be available.
Ask the AI assistant on this page for current compliance and security details. It researches live information from publicly available sources.
Ask about pricing, features, integrations, or comparisons. Our AI assistant can help with up-to-date information.
Performance & Scalability (Big Data and AI workloads)
Integration & Unified Lakehouse/Data Intelligence Platform
User-friendliness for Data Engineers / Collaboration (Notebooks, Workflows)
Customer Service & Support (including technical support)
Customer reviews paint an overall highly positive picture of Databricks, with rating averages around 4.6–4.8 out of 5 stars and a very high recommendation rate, especially in the enterprise environment. Particularly highlighted are the strong performance for large data and AI workloads, the integrated Lakehouse/Data Intelligence Platform, and the collaboration capabilities, while criticisms focus primarily on costs, the pricing model, and the sometimes steep learning curve for beginners. Databricks is particularly suitable for medium to very large companies with professional data engineering and data science teams that want to map complex analytics, BI, and AI scenarios in a scalable, unified platform.
AI-generated summary
Databricks, Inc. continuously drives innovation in data intelligence platforms to enable enterprises to efficiently manage their data and AI workloads. Through strategic feature releases, such as the further development of Unity Catalog, governance across diverse multi-cloud environments is significantly simplified. At the same time, global partnerships with leading technology providers strengthen its market presence across various regions and industries. These developments specifically support B2B customers in making data-driven decisions faster and in compliance with strict regulatory guidelines.
Source: Publicly available product updates or press releases from Databricks, Inc..
This section will soon show highlights from social networks, including community perspectives, trends, and recurring topics.