
Understanding complex data relations using graphs
How graph theory can be leveraged to better understand complex data landscapes
The wayfare.ai platform enables the Modern Data Stack in enterprises, allowing you to focus on value creating activites such as Business Intelligence, AI & Machine Learning, and Reverse-ETL
We empower you with best-in-class platform features
Our hybrid deployment matches your compliance and security needs
Easily manage everything related to your data flows, workspaces and users in one place
Trace your entire data journey on field-level, even in complex data landscapes
Leverage and comply with modern DevOps and version control practices
We include easy-to-use data unit tests, ensuring that data quality meets your expectations
Integrates into your existing operations stack - use the tools you already use for logging, alerts, IAM.
Embed documentation where it makes sense – automatically organized and easily searchable
Leverage pre-built connectors to leading data platforms and SaaS tools to get up and running in minutes, or build your own
Step 1: Select your data sources
Pick the connector you want from the catalogue
Step 2: Setup your data warehouse connector
Configure your data warehouse connector in the UI
Step 3: Create a data model in your warehouse
Configure your flow and build your model with SQL
Step 4: Deploy your flow
Spin up an agent in your environment and execute your flow
Ready!
Your data will now automatically sync, and you can start using the data
Leveraging modern cloud tech, it breaks down silos and empowers teams working data.
With wayfare.ai, building a modern data stack has never been easier.
The Modern Data Stack has collaboration and self-service at its core. This leads to higher quality and faster deliverables.
Use wayfare.ai to put the focus on creating business value instead of building IT systems
With the cloud comes both compute and storage abundances. In traditional IT, this can lead to data swamp-like situations, with dead data lying around.
Use wayfare.ai to leverage the Modern Data Stack's approach to governance, visibility and self-service to fully realize the potential of cloud.
With a traditional setup, the business needs to describe requirements, hand them over to IT, and hope they receive what they want 6 months down the road.
Spoiler Alert - this often leads to delays and refactor work.
Leverage wayfare.ai to make collaboration and alignment easier from project start to go-live.
We live and breathe data, and we love to share out thoughts and insights. Read more about topics such as the Modern Data Stack, Cloud, SaaS, and Analytics
How graph theory can be leveraged to better understand complex data landscapes
Learn about the Modern Data Stack, and how it can help your business transformation from an centralized, IT centric data infrastructure to a decentralized, business focused data infrastructure.
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