Happy holidays from all of your friends at Nexla. It’s been quite a busy 2021 for us and we’re excited for what 2022 has to bring. This will be the last Nexla Newsletter from us this year, so let’s dig in!
Nexla ? Firebolt: How-to?Data Mesh and Sub-Second Operational Analytics
We will be joining the Firebolt team for an upcoming webinar on January 11th to discuss and demonstrate how companies are embracing data mesh and sub-second analytics approaches. Register for the webinar today.
Product Updates
New Connectors: Databricks, Delta Lake, Teradata, and File Upload
This month we added several new connectors, check them out in Nexla: Databricks, Delta Lake, Teradata, and File Upload connector that let’s you upload and integrate files from your computer directly into your Nexla data flows.
Snappy Compression for Parquet Files
Working with Parquet files in Nexla just got an upgrade, with new Snappy compression available as an option for reading or writing files.
Oracle NetSuite Connector and Partnership
We’re proud to announce a new Oracle NetSuite connector. Now it’s easier than ever to bring NetSuite Analytics and Finances to be the preferred way to integrate data to and from Oracle services.
We’ve seen the API Economy, but now it’s time for the Data Economy because ultimately what matters is that data gets delivered securely, reliably, and in a timely way. Read the blog post.
The SaaS Podcast: Founder-Led Enterprise Sales with Nexla’s Co-Founder
In this episode of The SaaS Podcast, host Omer Khan talks with Nexla’s founder, Saket Saurabh, about live‑coded demos, consultative outreach, and bold moves that drove multi‑7‑figure deals.
In this first episode of DatAInnovators & Builders, Databricks’ Robin Sutara reveals why generic AI training doesn’t stick and how persona-based enablement drives real adoption.
InfoQ Covers Nexla Express and the Future of Conversational AI Data Engineering
In the News: InfoQ recently featured Nexla Express in a detailed article on conversational AI for data engineering. The piece highlights how Express enables users to create AI-ready pipelines using plain language.