This thanksgiving ? we are very thankful for our customers. Your feedback has helped us become the only multi-modal Data Integration solution with ETL, ELT, Reverse ETL, Streaming, and Batch data all in one simple no-code / low-code UI.
Nexla is now a Snowflake Technology Partner
A great validation of customers using Nexla and Snowflake, we’re proud to announce Snowflake Select Tier Technology Partnership. Read all about it on our blog.
Yotpo builds an Open Data Platform with Nexla
We’re excited to welcome Yotpo as a customer to support their mission to build an open, scalable data platform for their business. Read all about it on Yotpo Engineering’s blog.
Product Updates
Airflow Operator Connector
Nexla’s Apache Airflow Operator is now available to select enterprise customers. Operators are predefined templates for Airflow Tasks, and now in Nexla they can be connected to Nexla data flows. Contact your Nexla account manager if your team needs the Airflow Operator.
New CLI Version
A new version of Nexla’s CLI with updated commands is now available for developers. The CLI comes with bug fixes, more commands, and updated functionality. Contact us to try out the newest CLI version.
At their recent DoorDash Meetup event, watch the DoorDash engineering team discuss their strategy for a data architecture to scale across new verticals to become the “last mile logistics company”. Watch the whole talk here.
Reasoning vs. Judgment: The Real Limit of Context Graphs
Nexla, the leading integration platform for AI applications, today announced the launch of Express, a conversational data engineering platform that makes it simple for anyone to work with data.
The Data Governance Gap Blocking Enterprise AI Production
In episode four of DatAInnovators & Builders, BigID’s Stephen Gatchell explains the data governance gap blocking AI production, why unstructured data breaks legacy models, and how data product frameworks enable scale.
Why Context Engineering Is Key to the Next Era of Enterprise AI
In the News: betanews.com: In this Q&A, Saket Saurabh explains why context engineering is key to reliable, compliant, and intelligent enterprise AI workflows.