像Databricks、Palantir、Splunk、Snowflake等企业，正是通过解决行业核心问题，推动了技术和市场的双重进步。 例如，Databricks基于Apache Spark的分布式计算框架，创新性地解决了大规模数据处理的瓶颈。 传统的大数据处理多依赖批处理，既慢又难以适应实时需求。

有一句名言，失败的人各不相通，成功的人却很相似。 这句话，用在大数据公司身上，也很适合。 近期，数据猿系统研究了Databricks、Palantir、Snowflake、Splunk等几家国外头部大数据公司，撰写了系列文章： Databricks凭什么值620亿美元？ Palantir凭什么值1800亿美元？

Databricks, the fast-growing AI analytics startup, has raised another $400 million in a Series F round led by Andreessen Horowitz. The San Francisco-based company is now valued at $6.2 billion.

The fast-growing big data startup announces a new $400 million Series F funding round as well as the hiring of new Chief Financial Officer Dave Conte. Fast-growing data software startup Databricks is ...

Bharath Gowda, Databricks' VP of product marketing, briefed ZDNet on the news by phone. He said Data Ingestion Network charter members include Fivetran, Qlik (with its Data Integration product, ...