Gartner Market Guide for Data Observability Tools
The increasing complexity of modern data architectures and the growing reliance on data-driven decisions have made data observability an indispensable component of the data engineering toolkit. Gartner® estimates that “By 2026, 50% of enterprises implementing distributed data architectures will have adopted data observability tools to improve visibility over the state of the data landscape, up from less than 20% in 2024”.
Embracing data observability as a practice can ensure your data landscape is AI ready and would provide a more comprehensive understanding of its health and performance.
In this Gartner® Market Guide learn:
- The current landscape of data observability focusing on market definition, rationale and dynamics
- About the critical and futuristic data observability features
- Data observability use cases and benefits
- The recommendations for data and analytics leaders including a list of Representative Vendors
If you’re considering incorporating data observability into your organization to improve overall data quality, governance and cost efficiency of your data ecosystem, check out this report.
Gartner Market Guide for Data Observability Tools- Melody Chien, Jason Medd, Lydia Ferguson, Michael Simone 25 June 2024
GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally and is used herein with permission. All rights reserved.
Gartner Market Guide for Data Observability Tools
The increasing complexity of modern data architectures and the growing reliance on data-driven decisions have made data observability an indispensable component of the data engineering toolkit. Gartner® estimates that “By 2026, 50% of enterprises implementing distributed data architectures will have adopted data observability tools to improve visibility over the state of the data landscape, up from less than 20% in 2024”.
Embracing data observability as a practice can ensure your data landscape is AI ready and would provide a more comprehensive understanding of its health and performance.
In this Gartner® Market Guide learn:
- The current landscape of data observability focusing on market definition, rationale and dynamics
- About the critical and futuristic data observability features
- Data observability use cases and benefits
- The recommendations for data and analytics leaders including a list of Representative Vendors
If you’re considering incorporating data observability into your organization to improve overall data quality, governance and cost efficiency of your data ecosystem, check out this report.
Gartner Market Guide for Data Observability Tools- Melody Chien, Jason Medd, Lydia Ferguson, Michael Simone 25 June 2024
GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally and is used herein with permission. All rights reserved.