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Hey there, happy February from Nexla! We hope your new year has been off to a good start – we’ve definitely been busy. Read on to see what we’ve been working on.
The latest Gartner Peer Insights “Voice of the Customer” report names Nexla as the highest overall rated product with a 4.9/5 average rating! For more highlights, check out the full blog post.
What does a data product actually mean, and why does it help to think about data as a product? In this blog we cover the ins and outs of data products and how to use and implement them. Read all about it here.
Being named in Gartner’s Market Guide for Event Stream Processing is great validation for Nexla’s mission to integrate any kind data, including real-time and streaming. To learn more about streaming processing and read the Gartner report, see our full blog here.
Four new connectors are now available to Nexla users! Check them out in Nexla now.
Interested in a connector? Let us know – We auto-generate connectors and typically add connector templates within 24 hours.
IBM DB2: Db2 is IBM’s family of data management products, including databases servers.
Monday.com: A work management platform for companies to track projects and tasks.
SAP HANA: SAP HANA is a relational database software for storing and retrieving data.
Amazon Partner Seller API: The Amazon Selling Partner API (SP-API) allows for control of Amazon product listings, getting order information, and more.
Check out this Forbes piece from our CEO Saket with five big predictions for 2022. Read all about it here.
Working with API data has become increasingly important for data-driven organizations. Nexla’s powerful universal API connector makes it easy to integrate data from any API, with any authentication, and then easily work with it however you need. Read how we do it here.
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 live.
UPCOMING DATES
Wed, March 9: 8:30-9am PST
Wed, March 23: 8:30-9am PST
Suggestion or Feedback?
We are here to make working with data easier for you. Please contact us anytime
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Best,
The Nexla Team
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.
In this third episode of DatAInnovators & Builders, BigPanda’s Alexander Page shares how his team designs AI agents that internalize corrections, evaluate tool use, and scale reliably in production.
