The ISG Buyers Guides™ for DataOps, Data Observability and Data Products are distillations of more than a year of market and product research efforts. The research is not sponsored nor influenced by ...

LONDON, Aug. 28, 2024 /PRNewswire/ -- DataOps.live, the Data Products Company(TM), is proud to announce its recognition as a Representative Vendor in the newly released 2024 Gartner(R) Market Guide ...

SAN MATEO, Calif., March 25, 2025 /PRNewswire/ -- DataOps.live, The Data Products Company™, today announced a new investment from Snowflake Ventures to accelerate their joint product roadmap and ...

Company enables data pros to accelerate data delivery and cloud migrations more efficiently; showcases database management solutions and educates on database strategies at upcoming industry events ...

Data teams within businesses and organizations strive to provide internal business users and external customers with analytical insights. But those efforts often fall short because the data and ...

The MarketWatch News Department was not involved in the creation of this content. Stonebranch Universal Automation Center(TM) empowers DataOps teams with enterprise-wide control, orchestration, and ...

DataOps.live Inc. has introduced a new software toolkit that promises to help Snowflake Inc. customers manage their data more efficiently. The offering, which is known as Dynamic Suite, debuted today.

DataOps.live, The Data Products Company, is announcing an extension of their technology integration with Informatica, the provider of enterprise cloud data management. This expansion—characterized by ...

SAN MATEO, Calif., April 29, 2025 /PRNewswire/ -- DataOps.live, The Data Products Company™, today announced that it has been selected as the 6th annual Data Breakthrough "DataOps Company of the Year".

Nagesh Nama, CEO, xLM. Nagesh Nama is a seasoned technology executive with over 30 years of experience in life sciences. My journey into industrial data operations (DataOps) began over two decades ago ...

In today's data-driven world, unreliable pipelines lead to broken dashboards, late reports, and untrustworthy analytics. Data Engineers face increasing pressure to ensure their data pipelines deliver ...