Voltron Data develops high-performance data access and in-memory computing tools to improve the existing data analytics ecosystem. The company focuses on making the data science ecosystem more efficient with modular and composable analytics building blocks.

Voltron Data

Voltron Data was born out of the friction between state-of-the-art SaaS and open source. We are a team of data system engineers, scientists, analysts, and open source maintainers who have been driving innovation in the data analytics ecosystem for the last 15 years. 

We offer a new way for enterprises to design and build composable data systems that unlock flexibility, productivity, and cost-optimizations. This is made possible using our modular components based on open source standards. 

Today, our team actively maintains and contributes to transformational open source projects like Apache Arrow, Ibis, Substrait, RAPIDS, Velox, Parquet, and more. 

To join our team, check out our careers page: www.voltrondata.com/careers. Please note that neither Voltron Data nor any of its recruiting or placement agencies will send unsolicited messages related to employment and/or contract positions via WhatsApp or any other social media channels.

TheFactory

Lightspeed Venture Partners

BlackRock

Google Ventures

Walden Catalyst

Anthos Capital

Battery Ventures

Redline Capital

Nepenthe Capital

One thing I love about my job is that I come across start-ups that exude opportunity for solving the most pressing challenges that the market faces today. There were a host of these bold and audacious companies in season one of the TechArena podcast, and today I'm going to introduce you to the first entry for season two - Voltron Data. CEO Joshua Patterson and his team get IT challenges on data composability and what it really takes to build a data pipeline. Josh's experience at #nvidia points to a deep knowledge on data analytics, and it shows with the Theseus product entry into the market. #hpe  paid attention...they announced Theseus with Voltron for their data lake. I expect many others to follow. If you're going to listen to one podcast this week be sure to check this one out! Enjoy.

Ibis users can now leverage the power of GPUs to speed up their pandas workflows by 10-1000x! 

cudf.pandas (pandas accelerator mode) is a new extension from the RAPIDS team at NVIDIA. By executing on the GPU where possible and on the CPU otherwise, this new mode provides major speedups with zero code changes to existing pandas workflows.

Today on the blog, Nick Becker and Marlene Mhangami share how the Ibis project was able to add a new cuDF backend by using the existing ibis-pandas backend with the cudf.pandas extension. Learn more: 

https://lnkd.in/esrbFThf

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