Build, Deploy & Scale Your Data Projects
Build vs. Buy
Create a batch pipeline often used for analytics to periodically collect, transform and move data to a data warehouse according to business needs
We all know, that the devil is in the details. Building a self-service infrastructure, and making sure that it is user-friendly, is not as easy as it sounds. It takes at least a few months and dozen of iterations to get it right. And at the end there are three major concerns.
Operating, maintaining and extending your data platform comes at a significant cost
Creating a full-fledge data platform takes a huge amount of time
Once the infrastructure has landed, it's even harder to keep your projects live
Conveyor makes your journey easier
Conveyor is meant to be a centralized home for all your data projects, You can get a head start on your data use-cases using templates favoring software engineering best practices.
Use scaffolding and templates for projects as well as abstract away infrastructure
Decrease time to market by streamlining application lifecycle
Use monitoring and evergreen strategies to keep costs under control
Conveyor is adopted by organizations in various industries.
We are proud to be a part of their data journey solutions and to see them grow.
Working with Conveyor helps in managing the full ecosystem, it accelerates the scaling and it supports collaboration
IT Deputy Director Application Delivery at Luminus
"Working with Conveyor helps in managing the full ecosystem, it accelerates the scaling and it supports collaboration allowing data engineers and data scientists to focus on creating value with new data products, without having to worry too much about some of the underlying complexities of running a scalable data infrastructure in the cloud."
37 projects - 53 users
Multi-cluster & Multi-cloud
Monitoring & Logging
Single Sing-on & RBAC
Data Access Management
Templates for various technologies and use cases, get you started with just a couple of keystrokes.
Using the remote execution `run` command, you can execute your code remotely in the right context.