ABOUT US
- Our company was started in 2018 by two founders with a vision to reduce the time to insight, and accelerate the time to value, for customers.
- In 2019 we started developing our technologies around both the emerging discipline of DataOps (with a clear focus on the true principles of DevOps), and extracting value from volume in IoT timeseries data.
- In 2020 we publicly shared our DataOps Philosophy (#TrueDataOps) and released our DataOps for Snowflake platform supported by our patent-pending IoT Data Compression algorithm (Gallium).
- In 2021 we are focused on supporting our diverse customer base across EMEA and North America to transform their organizations.
Trusted by data-driven professionals
“You can’t carry on doing the same things and expect different results. We wanted to move the needle further on the dial and become a more agile data-driven business, which led to a pioneering data mesh and true DataOps approach as our way forward."
"In the last three months, we reduced overall Snowflake spend by 15% across all our Snowflake accounts by leveraging DataOps.live Spendview. The app got turned on within minutes, bringing transparency to all stakeholders, and allows us to focus our efforts on key areas we could improve. DataOps.live continues to be a true partner, supporting OneWeb’s continuous rollout of Data Products across the organization for the benefit of our customers."
“The data hub is a self-service business tool that is helping us to understand and optimize the operational complexities of the amazing network we are building. This approach delivers strong governance, the necessary geo-restrictions, departmental autonomy, and that all-important innovation at speed."
.svg)
"DataOps.live is a great choice for companies that need orchestration of complex data pipelines around Snowflake... Its hybrid approach means you can use native development and testing tools for some data pipeline processes and orchestrate any 3rd party tools as required."
"DataOps is at the heart of our Data Mesh implementation. Everything from ingestion, transformations, DQ, access policies and data product governance is orchestrated by DataOps. DataOps is a must for any company wishing to implement Data Mesh. A distributed architecture requires a tool like DataOps to allow the regular data engineer to easily navigate the complexity of CI/CD, code release and orchestration"
"DataOps.live is about collaborative development, it's about the ability to coordinate and automate testing and deployment and therefore shorten the time to to value"