EMA Best of 2020 — Top 3 Acquisitions, VC Rounds, and Open Source Projects

My EMA Best of 2020 list is based on a combination of my personal opinion as an industry analyst at Enterprise Management Associates and a set of quantitative metrics that are transparently referenced in this article.

There is much room for different opinions. I look forward to discussing those and learning new perspectives from personas within or outside my “sphere.”

Top 3 Acquisitions of the Year — Collaboration, Silicon, and Kubernetes Storage

Slack acquired by Salesforce for $27B

Stock comparison between Salesforce (CRM) and Slack (WORK) for 2020

Arm acquired by NVIDIA for $40B

Stock comparison between Intel and NVIDIA for 2020

Portworx acquired by Pure Storage for $370M

Stock comparison between NetApp, Nutanix, and Pure Storage for 2020

Venture Capital Rounds of the Year: Data, Data, Data

Snowflake’s 479M Series G

Source: Crunchbase

Cohesity’s $250M Series E

Source: Crunchbase

Confluent’s $250M Series E

Source: Crunchbase

Open Source Projects of the Year: AI, Compliance, and more AI

data source: GitHub / chart source: Enterprise Management Associates

Pulumi: Spotlight on Developer Productivity

Pulumi entered the very difficult infrastructure automation market in 2018, with its key value proposition focusing on enhancing developer productivity by providing access to cloud infrastructure through standard programming languages instead of YAML code. In 2020, the growth of the Pulumi repository on GitHub continued (7.290 GitHub stars on December 23, 2020), overtaking both Chef and Puppet in September, 2020. Very impressive indeed.

Streamlit: Spotlight on Data Scientist Productivity

Source: Streamlit.com

Building application frontends to deliver data-driven charts and dashboards has been holding back data scientist productivity for years. Streamlit offers a framework that automatically adds the required frontend components to the backend application code, enabling data scientists to stop wasting their time on design work.

Bert: Enhanced Natural Language Understanding

Source: Paul Allen Institue for AI

Bert (Bidirectional Encoder Representations from Transformers) enables the average developer to embed pre-trained learning models that can understand natural human language based on their ability to evaluate individual words within the context of words that come before and after them. Google created Bert to enhance its search engine’s ability to understand search requests in natural language and open sourced the technology in 2018.

Artificial Intelligence, Cognitive Computing, Automatic Machine Learning in DevOps, IT, and Business are at the center of my industry analyst practice at EMA.