Sources: data analytics service Databricks is in talks to raise a private funding round, potentially valuing it at ~$27B; Databricks was valued at $6.2B in 2019. ( Eric Newcomer / Newcomer)

Databricks, the popular cloud data analytics platform, is in discussions to raise a private funding round, potentially valuing the company at $27 billion, according to three people familiar with the matter, speaking on the condition of anonymity. The contest is expected to close later this year, said the people, who declined to be identified, discussing the matter. The potential valuation would make Databricks one of the largest private tech companies, larger than Amazon and Google. Some rumors were circulating the past few days that Databricks is being shopped around. Today, a report by TechCrunch confirms the rumors and says that a firm called DeepScale (formerly known as Kaggle) is in talks to acquire Databricks.

 What Is Databricks? 

 An Apache Spark Distributed Streaming (DSS) application platform, Databricks enables you to build, deploy, and run Spark applications in real-time data pipelines across clusters. You can use the platform to create new channels from any set of RDBMS tables or join the data from any two sources. You can easily connect data sources using the Spark connector and then combine those sources into a pipeline. You can also use the Databricks console or the CLI to interact with Databricks. A big data platform, data bricks were created to bring advanced analytics into any developer’s hands. The company offers a range of tools that make developing Big Data applications easier than ever.

 How Do Databricks Work? 

Databricks is a cloud-based platform designed specifically for big data analytics. This tool is extremely powerful in the hands of an expert user, but it could be more convenient for new people. The main benefit of using Databricks over something like SAS or R is that it’s open source and available to anyone, making it ideal for non-profits and businesses. The open-source nature of Databricks is why it’s so popular with big data analytics professionals who use it.

 Why Should You Care About Databricks? 

 If you’re using Excel regularly, Databricks could make your life easier. Here’s what it means: you can bring data into Excel through a process called “dynamic dataflow,” where the Excel environment becomes aware of the changes in your data as they happen. You can think of this as dynamic SQL for Excel. This tool is the future of data science. It makes Big Data easy and accessible, enabling everyone from students to C-level executives to explore it independently. Think of it like a 3D printer for data. With Databricks, you can build your machine to get started. You can print off a Databricks data processing platform for under $100 and dive right in.


Databricks has raised $85M to date, according to Crunchbase, valuing it at ~$6.2B in 2019. We have some details about these discussions, but it would be an excellent move for both parties. Data science is a growing field that will become more important as machine learning technology advances. Databricks is one of the few companies focused on making data analysis a first-class citizen of business applications rather than a bolted-on extra feature. It’s also one of the few companies with a strong track record of attracting top talent. It has won multiple awards, including best workplace by Fortune, a Gartner Magic Quadrant, a CBE Cloud Computing Excellence Award, and a Red Herring Top 100 North America Company.


1. What do Databricks offer? 

It offers data analytics and data science tools, including Apache Spark, Apache Airflow, and Apache Oozie. 

2. How much money does Databricks have? 

Databricks has raised $150M in funding, including a $50M Series D round.

3. Why does Databricks want to raise money? 

Databricks wants to fund its continued growth and expansion.

4. What are some of Databricks’ most recent acquisitions? 

Databricks acquired DataBricks in 2016 for $500M. It also received Dataiku in 2017 for $1B.

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