Crux Hits 1,000 Datasets!
We are very excited to announce we now have over 1,000 datasets (some small, some massive) pumping through our pipelines and being delivered to data consumers, with new datasets being added every day! We are honored to have partnerships with over 60 leading data suppliers of a wide range of valuable data. It has been a very busy year for us here at Crux. We are moving and growing fast. We officially launched our platform in March of this year (can’t believe it’s only been 7 months!) and since then we have been cementing partnerships, building data pipelines, growing the team, forging strategic relationships, and of course delighting customers.
As part of delighting customers, we have built out more ways for them to easily consume ingested, validated, and processed data from Crux: in addition to the RESTful API and Python client we launched earlier this year, we now have the ability to push data directly into a customer’s Snowflake or Amazon S3 account and we will shortly release the ability to execute SQL queries and create ODBC connections directly against Crux-delivered data in the cloud. Just as we keep wiring up more and more datasets, we will keep building out new ways for customer to easily get their hands on that data.
Our team has been growing fast to handle all this, especially in Engineering, and we have been thrilled to have Mark Etherington join us as CTO this summer. Mark and team have hit the ground running and are ramping up Crux capabilities fast on numerous fronts.
We know that macroeconomic data is fundamental to most activities in financial services. We are pleased to announce that we are offering free delivery of a collection of public macroeconomic datasets for all customers. If you are already using Crux, we hope you will find these datasets a nice value-add. If you are new to Crux, these datasets are a great way to get started with us. Connect with us to get access today.
Thank you all for being an engaged community. We learn from our conversations with you every day and that helps us continually improve on our quest to make data delightful.
All the best,