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？

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 ...

Topping this week’s Came to Win list is Cisco Systems for completing its blockbuster $28 billion acquisition of Splunk, a move expected to strengthen Cisco’s competitive stance in cybersecurity and ...

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.