Saagie has been named by Gartner in the DataOps vendor landscape in the 2022 “Data and Analytics Essentials: DataOps” report. Saagie is recognized for the orchestration capabilities of its platform.
According to the report, the decision flow for DataOps tools purchase should start with the following question: “Are you missing foundational pipeline operations capabilities to orchestrate heterogeneous, siloed Data & Analytics tools?.” Gartner defines the category of vendors addressing this need as Orchestration-Focused DataOps vendors: “Orchestration providers coordinate heterogenous Data & Analytics tools that are currently deployed and offer foundational pipeline operations capabilities.”
The Data Service Orchestrator module from Saagie is a cross platform solution to orchestrate and schedule data pipelines across multiple services (On premise or in the Cloud). It provides 30+ built-in Job technologies ready to use (embedded or external, open-source or commercial).
Combined with the Data Apps Manager module enabling the deployment and management of any containerized apps at scale (with 10+ production-ready open-source Data Apps, from ML model training to Data Viz), it creates an all-in-one collaborative workplace to manage your end-to-end data projects.
According to Gartner, “Most Data & Analytics leaders have some degree of success in introducing agile practices (say bi-weekly sprints) for their development teams. However, the operations is still fragile following traditional practices. And it only takes a critical live issue to break the development sprints. This is far from ideal. The goal of DataOps is to create predictable delivery and change management of data and all data-related artifacts such as data pipelines, data models and semantics. It demands a culture change by bringing together the data managers (like data engineers, data architects and data stewards) and the data consumers (like domain experts, casual users and data scientists).”
“Data and Analytics Essentials: DataOps” by Robert Thanaraj addresses the following key issues:
- What is DataOps and why should you care?
- How to introduce DataOps in your organization?
- What technology assistance is available for you in the market?
Gartner “Data and Analytics essentials: DataOps,” Robert Thanaraj, May 2022.
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