Unleashing the Potential of Clojure in Data Science: Our Key Takeaways from Clojure/Conj 2023

Clojure/Conj 2023, the premier conference for Clojure developers and organizations who use or are interested to learn about Clojure, witnessed a flourishing data science community embracing the power of Clojure.

The event featured talks and discussions that addressed concerns related to performance, libraries, interop, and developer experience within the data science realm.

Data Science and Clojure: A Growing Relationship

One notable observation was the emergence of a thriving data science community within the Clojure ecosystem. Data scientists showcased their work and discussed performance optimization, improved libraries, and the overall developer experience using Clojure for data science tasks.

Clojure’s Impressive Scale

Another common theme throughout the conference was the increase in adoption from larger organizations. Notable companies we met during the conference have embraced Clojure and successfully utilized it in their business operations. One presenter highlighted critical software in data centers serving millions of customers, demonstrating Clojure’s suitability for large-scale applications. These examples showcase the trust and confidence placed in Clojure’s capabilities.

Expanding Data Science Capabilities

The Clojure data science ecosystem has experienced significant growth in available libraries and performance enhancements. The breadth of available libraries now covers key previously lacking areas, making Clojure an attractive option for data science work. It was also encouraging to learn about companies that have established sizable Clojure teams, signaling the availability of talent and resources in the community.

The Business Case for Clojure in Data Science

Business decision-makers should take note of the advantages Clojure offers in the field of data science. The combination of Clojure’s functional programming paradigm, its ability to support systems at scale, and its library ecosystem’s continuous growth establishes it as an exceptionally potent tool for addressing complex data science challenges. Furthermore, the availability of talented Clojure professionals in the job market creates opportunities for businesses seeking to leverage Clojure’s potential.

Key Takeaways:

Clojure’s data science ecosystem is expanding, offering a range of libraries and improved performance for tackling data science tasks.
Clojure is proven to scale for large applications, with prominent companies successfully adopting it.
Clojure’s functional programming paradigm and expanding library ecosystem make it an attractive choice for data science projects.
Talented Clojure professionals are available in the job market, allowing businesses to tap into a skilled talent pool.

We felt that Clojure/Conj 2023 showcased the growing influence of Clojure in the data science field: from performance optimizations to expanding libraries and prominent adopters, the conference revealed the immense potential that Clojure holds.

Many organizations can confidently explore the adoption of Clojure in data science to unlock innovative solutions and gain a competitive edge in the rapidly evolving data-driven landscape.

As a cloud architecture company deeply rooted in Clojure and data, we are ready to help your business harness the power of Clojure and drive transformative outcomes for your business.