Databricks Should Open PaaS Up To Startup ISVs

According to an Adroit market research report, the data science platform market is estimated to grow $178 billion by the year 2025. Data science leverages advanced technologies such as machine learning and artificial intelligence to mine actionable insights from large data sources. Databricks is a unified data analytics solution provider that has seen tremendous growth in the past few years.

Databricks’s Offerings

San Francisco-based Databricks was founded in 2013 by the original creators of Apache Spark, Delta Lake, and MLflow. It was set up with the objective of bringing together data engineering, science, and analytics on an open, unified platform to help data teams collaborate and innovate faster.

Its four key open-source products include an open-source data lake called Delta Lake; an open-source project that assists data teams with operationalizing machine learning called MLflow; its open-source analytics engine Spark, and a single machine framework called Koalas.

Databricks is a data analytics solution that has been built on top of Microsoft Azure and used for managing, parsing, and processing large quantities of information to develop and deploy models on the data to help derive actionable insights. Based on Apache Spark, Databricks has been designed specifically for big data processing and helps data scientists take advantage of built-in core API for languages like SQL, Java, Python, R, and Scala. As a first-party PaaS on Microsoft Azure cloud, it provides a one-click setup, native integrations with other Azure cloud services, interactive workspace, and enterprise-grade security to power Data and AI use cases for small to large global customers.

It is a fully managed PaaS offering that leverages Microsoft Cloud to scale rapidly, host massive amounts of data effortlessly, and streamline workflows for better collaboration between business executives, data scientists, and engineers.

Databricks’s Financials

Databrick’s solutions are delivered on a freemium model. Users can download and utilize its products for free, but the management and use of these products is not easy. Databricks earns revenues by offering a subscription-based service that helps with the management of these tools.

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Disclosure: All investors should make their own assessments based on their own research, informed interpretations and risk appetite. This article expresses my own opinions based on my own ...

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