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Build, Deploy & Scale Your Data Projects

Build vs. Buy

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DIY

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Conveyor

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Data Pipelines

Create a batch pipeline often used for analytics to periodically collect, transform and move data to a data warehouse according to business needs

Concerns

 

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.

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Costs

Operating, maintaining and extending your data platform comes at a significant cost

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Time

Creating a full-fledge data platform takes a huge amount of time

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Firefighting

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.

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Speed up
data projects

Use scaffolding and templates for projects as well as abstract away infrastructure

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Decrease
time-to-market

Decrease time to market by streamlining application lifecycle

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Cost
Reduction

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.

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Working with Conveyor helps in managing the full ecosystem, it accelerates the scaling and it supports collaboration

Cristiana Pompei

Cristiana Pompei
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."

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37 projects - 53 users

Features

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Multi-cluster & Multi-cloud

Templates

Data Exploration

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Workflow Management

Distributed Jobs

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Monitoring & Logging

Cost Monitoring

Single Sing-on & RBAC

Data Access Management

Build

Templates for various technologies and use cases help you get started with

just 1 command.

 

Using the remote execution `run` command, you can execute your code remotely in the right runtime environment.

Cristiana Pompei

Cristiana Pompei
IT Deputy Director Application Delivery at Luminus

Working with Conveyor helps in managing the full ecosystem, it accelerates the scaling and it supports collaboration

37 projects - 53 users

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