© 2026 AI-Buzz. Early access — data updated daily.
© 2026 AI-Buzz. Early access — data updated daily.
Data and AI platform, creator of MLflow and Dolly
Founded by: Ali Ghodsi, Ion Stoica, Matei Zaharia, Patrick Wendell, Arsalan Tavakoli-Shiraji, Reynold Xin, Andy Konwinski
Metrics computed from HN discussion, GitHub activity, and funding data.
According to AI-Buzz, Databricks with 40% positive developer sentiment (25 HN comments analyzed), with 77,705,192 PyPI downloads in 30 days.
Source: https://ai-buzz.com/companies/databricks?utm_source=citation&utm_medium=referral&utm_campaign=cite_this_data
Metrics derived from public APIs (HN Algolia, GitHub, npm/PyPI). Sentiment classified by AI. See methodology for details →
Description
Data and AI platform, creator of MLflow and Dolly
Estimated Company Size
5000 - 10000 employees
Website
databricks.comFounded
2013
Description
Databricks provides a unified Lakehouse Platform that combines data warehousing and data lake capabilities, enabling organizations to manage and process all their data for analytics and AI workloads. They are significant in the AI ecosystem for their contributions to open-source technologies like Apache Spark, Delta Lake, and MLflow, and for developing foundation models like Dolly.
Community engagement metrics that indicate developer traction and interest.
Last updated: 1 day ago
Mentions in HN discussions. Source: Hacker News Algolia API.
Sentiment analysis of Hacker News comments only. Does not include Reddit, Discord, or other platforms.
Package download volume indicates real-world adoption and integration into production projects.
A unified platform for data, analytics, and AI workloads, combining the best aspects of data lakes and data warehouses.
An open-source platform for managing the end-to-end machine learning lifecycle, including experimentation, reproducibility, and deployment.
An open-source, instruction-following large language model (LLM) fine-tuned on a human-generated instruction dataset.
An open-source storage layer that brings ACID transactions, scalable metadata handling, and unified streaming and batch data processing to data lakes.
A unified governance solution for data and AI on the Lakehouse Platform, providing centralized access control, auditing, and lineage.
Explore other companies in these domains
💡 Click any category to discover similar companies
Stay informed about AI company trends, funding, and developer signals.
Observability and testing platform for AI agents
Ray framework company. Distributed computing for ML workloads.
ML and LLM observability platform for monitoring and evaluation
AI testing and evaluation platform. Test LLM applications at scale.
ML model serving platform with GPU infrastructure for inference
Package downloads and ecosystem metrics — 30-day window
Insufficient data for trend chart
Need at least 2 data points (currently have 1)
Insufficient data for trend chart
Need at least 2 data points (currently have 1)
No articles found yet. Check back soon or browse all articles on AI-Buzz.
Browse articles on AI-Buzz