Introducing 
Express — Go from prompt to pipeline in minutes.
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.
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.
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.
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.
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.
| Nexla makes scalable and repeatable integration of data out of Odoo easy with ETL, wherever you need it. Read the blog post. |
Our webinar is now every other week! Join us to learn how we make it easy for data teams to work with data.
In the demo, you will get a close view of the Nexla platform as we set up a complete data flow.
UPCOMING DATES
Wed, Dec 8: 8:30-9am PST
Suggestion or Feedback?
We are here to make working with data easier for you. Please contact us anytime
if you have suggestions or feedback for us.
Best,
The Nexla Team
In episode five of DatAInnovators & Builders, GrowthX founder Marcel Santilli explains the delegation test for AI and why poor context, not weak models, is the real reason AI initiatives fail to scale.
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.
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.
